RU2648951C1 - System and method of selecting and displaying recommended content to a user - Google Patents

Abstract

FIELD: data processing.

SUBSTANCE: invention relates to computing technologies for displaying web resource content for a user. Technical result is achieved by a method for selecting and displaying web resource content to a user of a web resource, which includes the registration of users on a web resource with information about users and users interests, creation by users of user collections on the web resource containing links to the content of the web resource and/or links to content uploaded by a user to a web resource from the Internet and/or containing content downloaded from a user data store, and/or containing content uploaded to a web resource by specifying links to web pages with content from the Internet, determining for each user user-defined content categories of the web resource and create an archetype of users containing at least one content category for a single user archetype, based on the interaction of users with the content of the web resource.

EFFECT: technical result consists in providing selection and display of a web resource content for a user based on the user archetype and/or known user data.

19 cl, 6 dwg, 2 tbl

Description

Technical field

[0001] The present invention relates to computer systems and, more particularly, to systems and methods for selecting and displaying the content of a web resource to a user of a web resource based on a user archetype.

State of the art

[0002] In connection with the rapid development of computer technology and the prevalence of the Internet, more and more users of computer / computing devices (personal computers, smartphones, tablets, etc.) spend time looking for information they are interested in, in order to communicate with other users , in order to buy a product or service, in particular, through the Internet, mobile applications, etc.

[0003] Often, it is difficult for the user to find the information he is interested in and / or to figure out how accurate and / or useful the information he found is, how good a particular product or service is, whether they are suitable for him, and whether he should order them, ask other users, where to find a particular product, information, service, etc. Often, the user wants or needs to know the opinion of another user about the information he has found, for example, the user saw on one of the websites on the Internet interesting information about a device for a personal computer, for example, a hard drive, and wants to know the opinion of other users about this hard drive. On the other hand, the user may like the beautiful car that he is going to or would like to purchase, and wants to share it with other users. Also, the user can purchase some kind of household appliance, for example, an electric kettle that has broken after a year of use, so the user wants to draw the attention of other users to the fact that such an electric kettle is not worth buying. It is also worth noting that the user can boast of any purchase to other users.

[0004] For these purposes, users are grouped into interest groups, for example, on specialized websites, forums, etc. In such forums, the user can find out the opinions of other users about the information of interest to him by conducting a survey, leaving links in order to comment on a particular article (for example, posted on the Internet) or goods. Also, a user can recommend another user, a group of users, or all users at once this or that information found by him, for example, by attaching an image on a website and sending a message to selected users. The user can also create a separate topic, for example, on the forum, with the aim of recommending to other users the information or product they found.

[0005] It is extremely often described above or most of it is difficult to implement in one place, for example, on one website or on several websites, or on several subdomains of one website, since it involves the use of various computer technologies and requires a large number time and resources for implementation and support, or it will be inconvenient for the user to use such implementations.

[0006] Also, information / data downloaded by one user (for example, with a view to recommending it to other users) is usually not interesting to all users and even users united by “interests”, since the interests of users even within the same interest group can differ significantly from each other from friend. So, for example, a sub-forum or the "Cars" branch can be created on a forum, which was created by one of the users in order to gather users interested in cars. However, it is worth noting that some of the users may be interested in racing cars / cars, another part of users will be interested in trucks, one third of users will be interested in cars, one fourth of users will be able to repair cars, one fifth will be interested in the disposal of cars, one sixth may be the purchase / sale of cars, etc. Thus, the theme is "Buy a retro car" or "How to learn to ride in reverse?" in the branch "Cars" will not be interesting to all forum participants.

[0007] If you create sub-branches "Trucks", "Cars", "Sports cars", "Car repair" in the "Automobiles" branch and, for example, allow users to add such branches, sub-branches, sub-branches themselves -tems, etc., then, ultimately, the branch "Cars" will receive greater branching and nesting of sub-branches, sub-sub-branches, etc. In addition, users can name branches of sub-forums / branches / sub-branches, etc. in different ways, for example, one user can create a branch "Sports cars", the second user - "Sports cars", the third - "Sports cars", etc., which, in fact, will relate to one topic / forum thread under the general name "Sports cars". Using manual or automatic (for example, using linguistic analysis of existing forum topics and created forum topics) moderation is extremely time-consuming and does not always allow to determine with high accuracy (especially automatic moderation) whether a similar topic has already been created or not.

[0008] On the other hand, a single user may be interested in several branches / themes of a resource / portal. Under the resource / portal in the framework of the present invention is understood, for example, a web resource (in particular, a website, an online forum, a user’s page / blog on the Internet that can be located on a server, a web server, a remote computer, a network storage device, etc. etc.), a web portal (for example, a website providing users with Internet services), and the web portal may consist of several websites. Access to the portal / resource can be made through a web browser or other software, in particular, an application for a user's mobile device (mobile application), an application for a computing device (personal computer, laptop, smartphone, tablet, phone, etc. ), on which the content of the resource / portal can be displayed (hereinafter in the description of the present invention - content, content of the resource, elements / objects of the portal, elements / objects of the resource, elements / objects of content), and on which or for through the services of which the user can share content, upload content to the resource / portal, link to the content of other resources, collect the content of other users in collections, rate the content downloaded by other users, view the content and save the content on the resource, for example, by creating / storing links to such resource content by the resources of the resource or by the user and, for example, by means of a web browser or application through which the interaction with the resource is carried out, as well as by sending messages, leaving comments on the content, etc., as will be described in the description of the invention. Under the content in the framework of the description of the present invention refers to objects / elements located on the resource / portal (on the pages of the resource / portal, in the application windows associated with the resource, etc.), representing the information content of the resources, in particular, graphic information, for example, images, video, textual information (for example, articles on websites, articles uploaded by a user to a resource, etc.), audio data, for example, in the form of files, links to resources containing such content, etc. d. Also, content can be links to resources (in particular, websites) with the possible creation of preview pages (s) for such a site, etc.

[0009] Thus, the grouping of users (the formation of user groups) by interests is complicated by the branching out of the topics that interest various users, even within the same group. Topics that are interesting to users from different groups lead to the intersection of user groups, which greatly complicates users' search for content of interest to them. Also, the intersection of user interest groups makes it difficult to implement recommendations to users, i.e. it becomes difficult to predict which user and from which group will like this or that content recommended by the user or resource. It is worth noting that the content can be recommended to users not only by other users, but also by the resource, for example, by recommending content to users using the resources of the resource or related resources.

[0010] Currently, existing means of recommending content to a user (means of selecting content for a user or group of users) either calculate / determine recommended content for the user based on the analysis of the content, not taking into account the quality of the content and the popularity of the content among other users, or use complex algorithms to select the content , which can be recommended to the user, for example, by analyzing user actions, user history (for example, user operations with resource content or when posting content on a resource).

[0011] Means for recommending content to users based on hash tags are also known. Hashtag, hashtag or hash tag (from English hashtag from hash - “pound sign” + tag - tag) - type of tag used on websites on social networks, etc. in order to facilitate the search for content by topic or content. Such tools have drawbacks that, as a rule, allow you to determine only the type of content, but not the group of users to whom it can be recommended, even if you collect a set of hash tags for a specific group of users or an individual user, then the recommended content is often not interesting to the user , because one user or group of users has too many hash tags and, as a rule, there is too little content (or not at all) in the aggregate of all hash tags which can be recommended to the user. In this case, part of the user group (for example, with the same set of hash tags) will not be interested in the recommended content on the topic "Trucks" and / or "Cars", and in the other part of the user group, the recommended content with hash tags will not be interesting Sports cars ", although each of such a group of users at least once viewed content with the specified hash tags.

[0012] It is also known that users are divided into groups according to so-called archetypes. The user archetype (user type, user type) defines a separate data set, or model, as well as a multitude, a set of models, for example, personality models, which can be used to determine user preferences.

[0013] However, the known methods for constructing / creating user archetypes do not allow their proper use to select recommended content for users.

[0014] Another problem with existing methods and systems for selecting user-recommended content is that they do not affect the filtering of users whose content can be recommended to other users, for example, one user may be recommended the content of another user (for example, one that likes to another user or content collected by such another user or uploaded by him) that "does not know how to advise", "which has no taste", that collects or downloads an uninteresting content event, or which shares content that may be of little interest to anyone except himself.

[0015] Furthermore, existing systems do not provide a mechanism for recommending to a user content that is actually of interest to a particular user or users of a similar archetype.

[0016] Accordingly, based on an analysis of the prior art and capabilities, there is a need in the art for a system and method for selecting and displaying a web resource content to a web resource user based on a user archetype and / or based on known user data.

SUMMARY OF THE INVENTION

[0017] The technical result of the present invention is to select and display the content of a web resource to a user of a web resource based on the archetype of the user and / or known user data.

[0018] According to one embodiment, a method is provided for selecting and displaying the content of a web resource to a user of a web resource, comprising the following steps: registering users on a web resource indicating user data and user interests; user interaction with web resource content; creation by users of user collections on a web resource containing links to web resource content and / or links to content downloaded by a user to a web resource from the Internet and / or containing content downloaded from user data storage and / or containing content uploaded to a web resource through the indication by users of links to web pages with content from the Internet; definition for each user of custom categories of web resource content; creating user archetypes containing at least one content category for one user archetype based on user interaction with the content of the web resource; Assigning at least one user archetype to a user selection of the content of the web resource to the user based on the archetype of the user in case the user is assigned the archetype of the user, and selection of the content of the web resource to the user based on known user data and the interactions of the user and the content of the web resource collected by the web resource; displaying the selected content of the web resource to the user on the web resource.

[0019] In one of the private options for implementation, user interaction with a web resource includes the following actions: user content selection via data input devices; User sending content links to other users (reblog); marking by the user of content as liked; user subscribing to content; the user adding content to the basket for the purpose of making a purchase of the product described by the content, the content being a description of the product and / or an offer to buy the product and / or an offer to order a service; purchase by the user of the product described by the content.

[0020] In one particular embodiment, the number of content categories in a user's archetype may change over time.

[0021] In one of the private options for implementing the content categories in the archetype of the user are ordered in descending order of the weights of the content categories.

[0022] In one particular embodiment, user archetypes differ in categories and / or category arrangement in the user archetype, and / or number of categories in the user archetype.

[0023] In one particular embodiment, several categories of content may occupy the same position in the user archetype.

[0024] In one particular embodiment, content categories that occupy the same position in the user archetype are determined by the difference in weight values for such content categories.

[0025] In one particular embodiment, the weight of the content category is calculated taking into account the coefficient of user interaction with the content and the number of user interactions with the content.

[0026] In one particular embodiment, the user is a person selling and / or advertising a product and / or service.

[0027] In one particular embodiment, the web resource is a website, a web portal.

[0028] In one particular embodiment, the user may be encouraged to content other users with the same user archetype.

[0029] In one particular embodiment, the user archetype is changed based on an analysis of the user's actions on the web resource.

[0030] In one of the private embodiments, categories are created on the web resource by the moderator of the web resource.

[0031] In one of the private embodiments, virtual categories are created on the web resource based on the analysis of user interaction with content.

[0032] In one particular embodiment, virtual categories are transformed into web resource categories by a moderator or automatically by the web resource.

[0033] In one particular embodiment, virtual categories are created from user collections.

[0034] In one particular embodiment, the user is assigned a temporary user archetype containing an insufficient number of content categories to form a user archetype.

[0035] In one particular embodiment, a user class is assigned to the user based on the quality of the user's actions on the web resource and / or the frequency of user interaction with the content of the web resource and / or the time spent by the user on the web resource and / or frequency user visits to a web resource where, the higher the user’s class, the more content from the archetype categories of such a user is recommended to other users.

[0036] In one particular embodiment, the highest and lowest user classes are not revised depending on the user classes.

Brief Description of the Drawings

[0037] Additional objectives, features and advantages of the present invention will be apparent from reading the following description of an embodiment of the invention with reference to the accompanying drawings, in which:

FIG. 1 illustrates an exemplary embodiment of displaying content to a user according to the present invention;

FIG. 2 illustrates an exemplary block diagram of the selection and display of recommended content to users of a resource / portal;

FIG. 3 illustrates an exemplary embodiment of the formation / creation of user archetypes;

FIG. 4 illustrates an exemplary embodiment of the connection of user archetypes with resource users;

FIG. 5 illustrates an exemplary diagram of a system for selecting and displaying recommended content;

FIG. 6 shows an embodiment of a system implementing the present invention.

Description of Embodiments

[0104] The objects and features of the present invention, methods for achieving these objects and features will become apparent by reference to exemplary embodiments. However, the present invention is not limited to the exemplary embodiments disclosed below, it can be embodied in various forms. The essence described in the description is nothing more than the specific details provided to assist the specialist in the field of technology in a comprehensive understanding of the invention, and the present invention is defined only in the scope of the attached claims.

[0105] FIG. 1 shows an example embodiment of displaying content to a user / users of a portal / resource, in particular, a web browser window is shown in which the content is hosted. It is worth noting that the content display window 100 can be represented not only by a web browser window, but also by an application window installed on a user's device, for example, a mobile device (phone, smartphone, tablet), personal computer, server, laptop, etc. ., for example, a mobile application, software for a personal computer.

[0106] It is also worth noting that in addition to content, elements of user interaction with content, other users, categories, etc., may be present in the content display window. Also, such elements of interaction with content are not necessarily displayed in the content display window (or some of them can be displayed), but can be activated when interacting with them, for example, by highlighting them with the mouse or touching the screen with a touch pen or finger (for example, in the case of use of devices with touch screens). Such elements of user interaction (user actions / user actions) with content, other users, a resource, websites, etc., include buttons, menu items, a drop-down menu, etc., for example, the Share button ("reblog"), "Add to user’s collection", "Subscribe", "Comment on the item / content / object", "Rate", "Show description" (of the content, in particular, of the product offered to the user in the form of content, element Resource) "Mark as you like," "Add to cart," "Buy "as well as user actions, for example, viewing pages of a resource, content of a resource, highlighting the content of a resource (for example, clicking / clicking on the content of a resource or by interacting with content through device touch screens), etc. It is worth noting that each user’s action / interaction can be affixed with a certain coefficient (action coefficient / user action coefficient), reflecting the significance of this action, which can be used, for example, in the analysis of user actions in order to form a user archetype or user class, as described below in the framework of the description of the invention. The user of the resource (including users who have registered on the resource) can also share content, for example, with other users of the resource, download content (own, third-party content, for example, found on the Internet or stored by the user on his personal computer, network storage, etc. .d.) to a resource, link to the content of other resources, collect other users' content into collections / user collections (110), subscribe to users (for example, user-added content actions performed by users, etc.), to rate content stored or downloaded by other users, view content and save content on a resource, for example, by creating links to such content using the resources of the resource or using your own resources and means, in particular, by sending messages, commenting on content, etc., as will be described in the description of the invention. Collections are a set of content items collected by users of a resource / portal that interest them. Collections can be replenished by uploading user-generated content to them, for example, by means of downloading content to a portal, or by saving content elements of other users, in particular, by interacting with content elements, a portal, for example, using the "Save to your collection" button , Save to New Collection, Add to Collection, and so on.

[0107] As mentioned above, content can be represented by objects / elements 120 or a set of objects / content elements placed on a resource (on resource pages, web pages, application windows, mobile applications associated with the resource and other resources, etc. etc.), and which can be represented by an image, text, video and audio recordings, articles on websites, user-uploaded articles to a resource, files, links to other resources or the current resource. The content may be links to resources (in particular, links to websites) with the possible creation of pages (s) of a preview (preview) for such a site, etc. The content may also be represented by selected recommended objects 130 containing at least objects 120 (containing at least data from objects stored by users or downloaded by users). Recommended objects may also contain additional information / data, in comparison with objects stored in user directories / user categories / user collections 110, including objects loaded by users. So, for example, a resource user can save resource objects / content by changing the description of the content, in particular, add their description to the existing description of the content or completely, partially replace it or delete the existing description of the content.

[0108] As mentioned above, a user can post content on a resource in their user categories / directories 110, exchange content with other users, including by sending messages to him, including internal messages of the resource, or through applications related and / or unrelated with a resource, for example, through instant messaging systems / instant messaging systems (IM - from the English. Instant Messanging), to rate the content, receive content, for example, through links from other users etc., i.e. in any way interact with the content related to it by users, post content on the resource.

[0109] It is worth noting that the user can be an individual (any person who has visited and / or registered on a resource) or a legal entity / company (for example, a store of goods and / or services, any service, website / web website, online store, etc.) or a person representing a legal entity, for example, a company’s system administrator, company’s general manager, website administrator, store director, company manager, company accountant, distributor or seller of goods, and so on.

[0110] It is worth noting that in one implementation of the invention, users can be divided into two parts:

[0111] - users interested in promoting content (goods, services, etc.), for example, interested in selling, advertising, etc. goods. Such users include a store, including online stores, websites, online services, etc .;

[0112] - users who may be interested in the content of the first part of users, i.e. content of users promoting their content.

[0113] The first part of users (as well as the second part of users) can decompose their (including downloaded or saved from this resource or other resources) content into collections, as well as save content from one collection (their own or other users) to their other collection. The difference between such collections can be the name of the collections and the purposes for which users save content in their collections (or upload content to a resource in their collections), for example, store collections can be collections with goods (baskets / folders with goods and their description) which can be selected and recommended to other users, as described in the framework of the present invention. For users from the second part of the collection (customers), for example, they may wish lists of purchases in which they can save content from store collections (folders with goods). So, for example, a store can create a folder with the goods “Skin Care”, “Nail Care”, while the buyer (the second part of users) can save portal elements / objects (content from the store’s collection) to their collections, e.g. Buy Required, Buy Friend, etc.

[0114] FIG. Figure 2 shows an exemplary block diagram of the selection and display of selected recommended content to users of the resource / portal. The process begins in step 210 after the user logs on to the resource. The user can access the resource through a web browser, software (e.g., application) or service (e.g., web service) installed on a computer / computing device, e.g., mobile device, personal computer, etc. In step 210, the user is prompted to register, which consists, at a minimum, of indicating by the user information about himself and the user's preferences (what the user is interested in), for example, the user's age, gender of the user, region of residence, location, user's birth, email address of the user, the user's phone number (local and mobile), the user's date of birth, and other data provided by the user, which, for example, can be used to form the gender archetype of the user, user class and / or when selecting the content of the resource for the user, as well as in the user’s data, can be recorded (by the user or by the resources of the resource, for example, using the operating system, a web browser, in particular, means built into applications or devices of the user ) resources / web pages recently visited by the user, open or closed applications, including mobile applications, etc.) the site, application, etc. from which the user came (can be indicated by the user or automatically distributed, for example, based on an analysis of the information provided by the user's device, user software, a web browser in which the resource window is open, etc.) or how he learned about the resource, for example, by specifying the user (or data, when the help of which such a user can be identified on the resource) already registered on the resource. So, for example, the user can specify the nickname of the user on the resource, his email address, user identification number, resource, etc. by entering such data on the registration page of a new user of the resource (page for editing the data of the user of the resource) or by selecting such data from the resources provided to the user by the resource. It is worth noting that the user can get to the user registration page by a link (for example, a web link) that any user of the resource can send him, for example, as an invitation to the resource, and the link may contain information about the inviting user, which can be used to establish a connection between the inviting user of the resource and the invited / registering user on the resource. Such a relationship can be used to form a user archetype, as well as to select content for a new user, including before the formation of a user archetype.

[0115] The user may also be asked to indicate his preferences (what interests him what type of content is expected), for example, by selecting at least one generalizing category of content that interests him. The generalized categories of content act as a kind of global indicator of user interests and represent the collected collections / categories (or at least one collection) of users in the content category. It is worth noting that generalizing categories are optional, i.e. generalizing categories are not necessarily used to select and display the recommended content to the user (step 250 in FIG. 2), and may not be taken into account when choosing content for and display content to the user (step 290 in FIG. 2). As described above and will be described below, the user, when interacting with existing objects / content elements or when uploading content to the portal, can add content objects to existing collections or create new collections. Collections can be combined into content categories. Content categories can be combined into generic content categories. So, for example, collections (and objects / elements of a collection, in general - elements / objects of content) of one or several users of the resource "Executive cars", "Luxury cars", "Supercars", "Elite cars", "Race cars" , "Sports cars," "Expensive cars," "Cars for the rich," etc. can be combined into a category, for example, under the name "Expensive cars", and the collections "Sell used cars", "Buy a car", "Sell cars without mileage", "Buy a car without mileage across Russia", etc. can be combined, for example, in a category with the name "Buy / Sell a car." In turn, the categories "Expensive Cars" and "Buying / Selling Cars" can be combined into one generalizing resource category "Cars".

[0116] Formation of collections into content categories, and content categories into generalizing categories can be performed by a moderator (operator, editor) of a resource / portal, or methods of automatically grouping collections and categories can be used, for example, using algorithms (implemented as software, executed on a computing device, for example, a server, personal computer, etc.) based on, for example, linguistic analysis of content elements (including component parts of a content element, so such as, for example, the name of collections, categories, generalizing categories, as well as the text component of content elements, tags assigned to categories, collections, generalizing categories, content elements, etc.) belonging to collections and categories, or by comparing content elements, for example, by comparing images, parts of images, etc.

[0117] It is worth noting that categories can also be created by analyzing the content the user interacts with, as well as based on the names of the collections, content descriptions, etc. So, for example, if during the analysis of users and their interaction with the portal and its elements, it turns out that users pay great attention to a certain type of content, then a category can be created that characterizes this type of content, and such a category can be automatically added to the system ( to the portal) and used to create archetypes, and can be additionally viewed / edited by the moderator of the portal, in order to establish the need to create such a category (a similar category, relating ayasya to a particular type of content may already exist, but have, for example, other name / name). Also, similar categories can be created for content that users from the third class interact with (described below), and such categories may not be initially visible to other portal users, but with the popularity of such categories they can be included in the process of formation / adjustment archetype automatically either by the moderator / operator / editor of the portal.

[0118] After step 210, the process proceeds to step 220, in which the fact that the user has an archetype (user archetype, user archetype) is checked.

[0119] It is worth noting that between step 210 and step 220 an archetype can already be assigned to the user (an archetype is assigned, an archetype is selected, that is, the user can be assigned to archetypes already existing on the portal), for example, based on the primary information indicated by the user, or if, for example, the user account is recreated for one reason or another, then in this case, after the user is registered on the portal, he will be assigned his old archetype. If no archetype has been created on the portal yet, i.e. archetypes do not exist, for example, the first user is registered on the portal, then a virtual archetype can be created for such a user, for example, on the basis of generalizing categories selected by the user during registration on the portal. Also, the archetype for the user can be created or selected / assigned randomly from existing content categories that are part of the generalizing categories selected by the user during registration, or the archetype can be selected from existing content categories that are part of the generalizing categories, taking into account the analysis of primary data user entered by the user at the registration stage.

[0120] If the archetype was previously assigned to the user in step 220, the process proceeds to step 230, which verifies the need to adjust the user archetype, which is performed in step 240, after which the process proceeds to step 245, in which the presence of the content recommended by the user is determined (content that will be displayed to the user as recommended / recommended), as described below.

[0121] If the recommended content (objects / content elements) was found in step 245, the process proceeds to step 250, in which the selected recommended content is displayed to the portal user through, for example, window 100 (FIG. 1), after which the process proceeds to step 260.

[0122] In step 260, an analysis of user actions on the portal (as described below), user interaction with portal content, other users, etc., is performed, after which the process returns to step 220.

[0123] If in step 245 it was not possible to select the recommended content for the user (for example, the archetype assigned to the user is assigned to only one user, that is, the user with this archetype exists in a single instance, so there are no other users with the same archetype, the content of which could be recommended to such a user), then the process proceeds to step 290.

[0124] It is worth noting that the user can be offered both the content of the corresponding user archetype and content from other user archetypes, for example, a user with the archetype "Archetype 1", including categories 1. Cars, 2. Beauty, 3. Repair, Archetype 2 archetype content that includes categories 1. Repair, 2. Beauty, 3. Cars or Archetype 33 archetype that includes categories 1. Repair, 2. Cars, 3. Retro, etc., can be selected and displayed. moreover, the categories in archetypes can either coincide or not coincide, moreover, st / ranking categories archetypes can also be the same and not the same. It is worth noting that the arrangement / ranking of categories in the archetype can affect the amount of selected and displayed content to the user. So, for example, when selecting and displaying content to a user with the archetype “Archetype 2”, the name and position of the category in the archetype of the users “Archetype 2” and “Archetype 33” coincide, in the above example, the category “Repair”, the user can more often be selected and displayed content from this category than from the remaining categories of “Archetype 33”. It is also worth noting that content from other archetypes to the user can be displayed in random order and with a random frequency, for example, in the same amount, for example, when selecting and displaying content to a user with the archetype "Archetype 1", from the above example, it can be selected and display content from the archetypes "Archetype 1" and "Archetype 33" in the same proportions, i.e. 10 units of content from the Beauty category, 10 units of content from the Repair category, 10 units of content from the Retro category, and so on. In particular, the selection and display of content in this way to the user can be carried out, for example, before the user generates an archetype or after the user generates an archetype to which the content of the resource is selected and displayed.

[0125] If the archetype was not assigned to the user in step 220 (the user is not assigned to any of the archetypes), the process proceeds to step 270, in which the fact that the existing / collected data about the user and his interaction with the portal is sufficient , portal content, portal users, etc. in order to assign this user to one of the existing archetypes, or in order to create a new archetype for the user, which will be assigned to him (and later can be assigned to any other user).

[0126] If it was determined in step 270 that the collected data / information about the user's actions on the resource (with content elements, users, other websites, etc.), then in step 280 a new archetype is created or an assignment is already made existing archetype for the user, after which the process proceeds to step 245.

[0127] A new archetype can be created even if it can be assigned to just one user.

[0128] The process of creating a new archetype and assigning an existing archetype to a user depending on the primary data and collected data on the user’s interaction with the portal, other users, portal content (content elements), etc., as well as constituent parts of the archetype, are disclosed in more detail in the description of FIG. 3.

[0129] The correction of the user archetype is based on an analysis of the user's actions on the resource, in particular, the user’s interaction with the content of the portal / resource. If during the user’s interaction with the portal, its elements / objects, other users, etc., it is established that the user has become interested in a certain type of portal content, for example, content from the categories that make up the archetype (which will be described below), then the archetype assigned to the user can be exchanged for one of the existing archetypes, or a new archetype can be created to which the user will be assigned (with which the user will be associated), in more detail the process of adjusting the archetype Users described below.

[0130] If there is not enough data collected in step 270 to create a new user archetype or assign an existing archetype to the user, the process proceeds to step 290. In step 290, the content (portal elements / objects) is displayed to the user based on the primary user data and , in some cases, based on already collected data about the user's actions on the portal (if any already exist), after which the process proceeds to step 260.

[0131] Based on the primary information about the user, including generalizing categories, as well as on the basis of the above and further actions (interactions with someone or anything) of the user on the portal (or on any other web resource, in applications, etc. .), the user (for the user can be selected) can be determined (including by the moderator / operator / portal editor or automatically using various algorithms, for example, based on an analysis of the user's behavior of the resource, actions performed by the user with objects / content / elements of the resource, as well as by putting weights on such actions and user interactions and / or resource categories with the subsequent determination of the most suitable / close categories and user archetype for the user.Also, when selecting and displaying the resource content, resource categories can be used / involved, closest to the user, for example, if there is not enough data to determine the categories) the above categories of resource / portal content (categories of portal elements / objects).

[0132] As a rule, the user pays to one or another portal content related to a certain category more or less attention during the interaction of the user with the portal. Also, depending on the user's primary / initial registration data, certain categories of portal content are more suitable for him. Thus, the user is more interested in certain categories of portal content (for example, more often saves or loads content associated with certain categories), and less in some categories. Depending on the degree of interest of the user in certain categories and / or depending on which categories are more suitable for him, it is possible to set the priority of each category as a percentage in relation to each other, i.e., for example, from 10 categories that are of interest the user or those that are suitable for the user, in terms of popularity, the category “Expensive cars” with 30 percent of popularity (importance for the user, in terms of how much the category suits the user, etc.), comes first and second place - the category "Buy / Sell a car" with 20 percent, in third place - the category "Buy / Sell" with 10 percent, in fourth, fifth, sixth, seventh, eighth, ninth and tenth places - other categories, in general difficulties collected the remaining 40 percent, but each of which cannot have more than 10 percent.

[0133] The percentage of popularity / importance of a category for users can be described by the weights of each category, for example, in the simplest case, 1 percent will be equal to 1 unit of conditional weight, i.e. the weight of the category “Expensive cars” will be 30, the weight of the category Buy / Sell a car will be 20, the weight of the category Buy / Sell will be 10, and the combined weight of the other 10 categories will be 40, and the weight of each of these other categories will not exceed 10.

[0134] It is worth noting that when the weights of several categories coincide, the same place in the archetype can be occupied by several (at least two) categories. For example, the archetype “Archetype 456” may include the following categories: in the first place of the user's archetype are two categories “Flowers” and “Cars” with equal weights 30, in second place - the category “Buying a car” with a weight of 25, in third place - Categories “Gifts”, “Apartment Repair”, “Plumbing” with weights equal to 4 (four) for each category.

[0135] It is also worth noting that in the above implementation of the content of user archetypes, the weights of several categories contained in one place / position / rank of the archetype do not have to coincide, but may slightly differ from each other, for example, by a given one (by operator or algorithm, implementing this functional) value. The scatter of the weights of categories that can occupy one position in the archetype can be specified in units of the weight of categories, in percent (difference in the percentage ratio between the weights of categories), etc. So, for example, the scatter of weights for categories occupying one position in the archetype can be set, for example, at 10 percent or, for example, at 1 unit of weight, i.e. in the first case, for the above example, the weights of the categories “Flowers” and “Cars” can vary within, for example, 30 units of weight and 33 units of weight, and in the second case, 29 and 30 units of weight, respectively.

[0136] Thus, on the basis of category weights (in particular, the interest of categories to the user, how much they suit him, etc.), the main categories (not to be confused with generalized categories) that the user is most likely interested in can be distinguished and the content of which is most interesting to him and will be interesting until the main categories or their popularity with respect to each other change. Here, as an example, three main categories are considered, although it is worth noting that the number of main categories is unlimited and can equal one or many categories (10, 20, 101, etc.). It should be noted that the number of categories can change dynamically, i.e. change over time during the existence of the portal. So, for example, if the archetype was originally built in three main categories, then after some time, another category can be added to existing archetypes, for example, when the number of archetypes becomes stable, as described below. In this case, archetypes can include four main categories, moreover

[0137] - two types of archetypes can exist in the system - archetypes with three main categories and archetypes with four main categories;

[0138] - either the number of main categories for all archetypes is the same.

[0139] It is worth noting that in the process of increasing the number of categories contained in user archetypes, at least one category added (in the example described above is the fourth resource category) to the existing set of categories is selected from the above “remaining categories” determined as a result of the analysis of actions user on the resource and user interaction with the content of the resource. The choice of the added category is carried out by the moderator of the resource or automatically by the resource’s resources based on the weights of the categories contained in the “other categories”, for example, for the above example, the fourth category added to the archetype will be the category with the highest weight compared to other categories from the “other categories” ".

[0140] The main categories to a greater extent determine the archetype of the user, ie indicate which content from which category will be of interest to the user, and therefore, content (portal elements / objects) from these categories should be recommended to him (recommended content, recommendatory content). Non-core categories (or secondary categories) to a lesser extent determine the recommended content 130 (FIG. 1), but can also be used to select recommended content, but such content will be displayed to the user, for example, in window 100 (FIG. 1) less often than recommended content from the main categories.

[0141] The main categories (user-defined categories, categories of the user's archetype) can be ordered by weight, for example, the category with the highest weight will be in the first place, and the category with the lowest weight will be in last place. It is worth noting that secondary categories can also be ordered by weight.

[0142] Based on the ordering / sorting of the main categories, archetypes are created, "Archetype 1", "Archetype 2" (the name of the archetypes may be different and vary depending on the implementation of the present invention, for example, the names of archetypes can be associated with the username, for which the archetype was first defined, or may include words from category names or include whole category names, etc.), etc. For example, for the above example of categories, the archetype "Archetype-Number-1" can be created, which will include the following main categories of content in descending order of importance / importance / relevance for the user from top to bottom:

[0143] "Expensive cars";

[0144] Buying / Selling a Car;

[0145] Buy / Sell;

[0146] All other categories.

[0147] Thus, in one embodiment of the invention, the selected content (selected portal elements / objects) will be selected and displayed to the user first from the first main category, then from the second main category and only then from the third main category.

[0148] In another implementation of the invention, content can be selected and displayed in equal shares from all three main categories to the user.

[0149] It is worth noting that the recommended content can be selected both from the main categories and from non-main categories ("All Other Categories"), main categories, as well as from non-main categories. The number of selected recommended content can vary and be divided between the first main category, the second main category and secondary (non-main) categories, and can also be divided between a group of main categories and a group of secondary categories. For example, 80 percent of the recommended content can be selected (and recommended to the user) from the main categories, and 20 percent of the recommended content can be taken and shown to the user from the secondary categories. Also, it is worth noting that the type of recommended content from secondary categories can vary from user to user of the same archetype, as the secondary collections of users may vary. As described above, user actions are tracked on the portal, and if the portal user begins to pay much more attention to the content of one or more secondary categories (i.e., the user associates himself with one of the categories not contained in the main categories of his archetype), and the weight of such secondary categories will exceed the weight of the main categories, then the archetype of the user can be changed / updated.

[0150] It is also worth noting that the secondary categories can also be ordered / ranked in order to display the selected recommended content to the user, first from the more popular secondary / non-main categories, and then from less popular ones. Content from the secondary categories can be selected and be recommended / displayed to the user at random, without taking into account the weights of the secondary categories.

[0151] It is also worth noting that if other weights are affixed to the main categories, but their weight order does not change (that is, the sequence of categories after ordering in archetypes is the same, but the percentage of user interest is different for each of the main categories) , i.e. the main category "Expensive cars" will have a weight of 34, the "Buy / sell a car" - 15, the "Buy / sell" - 11, and for all other categories the total weight will be 40, but the weight of each of the other categories does not exceed 11, then, in this way, the arrangement of the main categories by “interest” for the user will be preserved and this set of categories (not taking into account the weight of categories from additional / non-main categories) will correspond to the archetype “Archetype-Number-1” indicated above.

[0152] If during the creation of the user archetype it is revealed that his archetype corresponds to the Archetype-Number-1 archetype, but the weights of the main categories are distributed differently, then the Archetype-Number-1 archetype will be assigned to the user, that is, its archetype will be equated to the archetype "Archetype-Number-1".

[0153] If during the adjustment / change of the user archetype (for example, depending on the actions of the user or some events related to the functioning of the portal or the actions of other users, etc.), it becomes clear that the new user archetype corresponds to the archetype "Archetype- Number-1 ", then the user will be transferred from the current archetype, for example, the archetype" Archetype-Number-345 ", to the archetype" Archetype-Number-1 ", i.e. the user will be assigned the archetype "Archetype-Number-1" instead of the archetype "Archetype-Number-345", as, for example, shown in FIG. 4 (430).

[0154] It is worth noting that user archetypes stored, for example, in a database on a resource storage device in which no user is left (that is, the user archetype does not belong to any other user) can be deleted from the archetype database users, so as not to store such "empty user archetypes" in the database.

[0155] It is also worth noting that entries in the database corresponding to “empty user archetypes” may not be deleted from the user archetype database, but may continue to be stored in the database, for example, until a user with such a user archetype appears , but not taken into account and not used described in the framework of the present invention, the system for the selection and display of content to the user. In this case, such an “empty user archetype” ceases to be “empty” and will be assigned to the user with the corresponding user archetype instead of creating a new user archetype, as would be the case if such an “empty user archetype” were deleted from the database archetypes of users.

[0156] The selection of recommended content and its display to a particular user depends on which archetype the user belongs to, for example, the user belonging to the archetype (to which the archetype is assigned) "Archetype-Number-1" will recommend the content of users belonging to the archetype " Archetype-Number-1 ", and a user with an archetype, for example," Archetype-Number-33 "will be recommended (selected and displayed) the content of users with the archetype" Archetype-Number-33, etc.

[0157] It is worth noting that if the user archetype has not yet been generated (for example, the user archetype does not contain any categories or contains less than the number of categories defined on the resource, for example, by the moderator of the resource), then at least such a user can be assigned one user archetype existing in the system described in the present invention. The user can be selected and displayed content based on the categories contained in such at least one archetype temporarily assigned to the user and / or content selected on the basis of data currently collected about the user, including categories defined / set by the moderator or resources for the user, user data entered by the user during registration on the resource, or collected in the process of user interaction with the resource and resource content.

[0158] Thus, several user archetypes can correspond (can be assigned) to a user. It is also worth noting that a virtual archetype can be formed for the user, consisting, for example, of categories occupying the first positions in several archetypes assigned to the user, and may also include categories already defined / selected for the user, as described previously.

[0159] The interest of the user in a particular category of objects / content elements of the portal, in particular, is characterized, as was said, by weights. The weights for each content category are calculated depending on what action the user performs (how the user interacts with the portal, portal content, etc.,), so one of the actions may have a greater value / influence to determine the weight of the category (action weight) than other, for example, saving an item / object of content from a category can have an effect with an action weight (event weight) of 0.1, while viewing the same element / object of content from the same category can have an effect with an action weight of 0.05, that as "subscription" in the User / User content will have a weight of 0.2 in action, and "Like" user-user evaluation of the content item, - the weight of the action in 0.15.

[0160] The following is a table for calculating weights for actions / user interactions with content in exemplary content categories ("Cars", "Sports" and "Food"):

[0161] Each user action (for example, interaction with the content of the resource) is set by the moderator of the resource, for example, from 0 to 1 (although the weight can be set in any range of integer or fractional numbers). During the analysis of user actions, the number of certain user actions with user categories is calculated, after which the weight of user actions for each action of each category is calculated by, for example, multiplying the number of a certain action with a weight corresponding to this action. Next, the total weight of all user actions for each category is calculated, for example, by summing the weights of user actions for each resource category. So, for the approximate values given in the table above, the total weight of actions for the “Cars” category is 10, for the “Sports” category is 11.8, for the “Food” category is 21.2. Further, the total weights of all actions for all categories are summarized to obtain the total number of user actions weights for all categories. In this case, the total weight is 43. In order to identify the weight for each category of archetype (in this case, for each of the categories “Cars”, “Sports” and “Food”), the weight of each category is divided by the total weight for all categories in order to obtain weight each category for an archetype. Thus, the weight of the Car category in the user archetype will be 10/43 = 0.23, for the Food category it will be 21.2 / 43 = 0.49, and for the Sport category it will be 11.8 / 43 = 0.27. Therefore, according to the obtained values of weights for categories in the archetype, the category “Food” has the largest weight in this archetype of the user and the category occupies the first position in the archetype, the category “Cars” has the least weight and the category occupies the last third place in the archetype, and the category “Sports "Takes the second place among the categories of the archetype, since its weight is more than the weight of the category" Cars "and less than the weight of the category" Food ", which is displayed below:

[0162] As mentioned above, if the archetype does not exist, then it will be created, even for one user. If the archetype already exists, then during the adjustment / refinement / change of the archetype it will be equal to the existing archetype (in case of archetype correction / change), or the existing archetype will be assigned to the user (if the archetype has not been created for the user yet).

[0163] Thus, archetypes are used to select recommended unique portal elements / objects (content / content elements) in order to display filtered content to the portal / resource user, i.e. the archetype acts as one of the elements of the content filter that will be shown to the user.

[0164] Another element of the content filter, ie the factor influencing the content selected by the user are the classes of portal users (types of portal users). Portal users can be divided into user classes (user types, user categories), for example, into three user classes: 1st class ("good user"), 2nd class ("average user") and 3rd class (" bad user "). It is worth noting that the number of classes may differ from the implementation of the invention, for example, users can also be divided (divided) into two, three, four or more classes. Subdivision into user classes can be carried out manually, for example, by a moderator / operator / editor of a portal, or automatically using algorithms implemented by computing devices.

[0165] User classes can be defined / set depending on the tasks / direction of the resource. So, for example, a resource can be aimed at promoting / advertising a certain type of goods, for example, cars or perfumes, etc. It should be noted that the focus of the resource is not limited by the above example and can be represented by various areas of human life and the interests of people, society, etc., including the focus of the resource can be determined by the income of users, for example, the resource can be directed to users with an average wealth or high-income users, etc. Depending on the interaction of the user with the content of the resource of a certain orientation, different classes of users can be assigned to users.

[0166] It is also worth noting that a resource may have several orientations of the resource.

[0167] The division of users into classes (assigning a user to one or another class of users) can be determined by the actions of users on the portal, for example, the type of content they are interested in, collected in collections, shared with other users, uploaded to the portal, etc. So, for example, users from the first class collect in their collections (elements / objects of the portal), recommend quality content to other users, and leave marks for quality content. Users from the third class are usually interested in low quality content, for example, content that is of little interest to anyone, or upload uninteresting content to a portal, etc. Users from the second class are interested in both high-quality content and low-quality content or few interesting content. A user from the third class can be described as a user who "does not know how to advise", "who has no taste", who collects or downloads uninteresting content, or who shares content that may be of little interest to anyone except himself. A user from the first class can be characterized, for example, as a user who has a taste, and a user from the second class is a cross between a user from the first class and a user from the second class.

[0168] Also, when evaluating a user class (assigning a user class to it), as well as when revising / changing a user class, user activity on the portal can be considered / evaluated (for example, by a moderator / operator / editor of the portal). For example, the regularity and frequency of the user visiting the portal over a certain period of time, the manifestation of user activity, the number and type of user actions / interactions by the user with the portal, i.e. a user (for example, from the first class) who, for example, often appears on the portal, is likely to continue to continue to appear on the portal with the same regularity, which means that the user is interested in appearing on the portal, for example, in order to save elements / portal objects, rating elements / elements of the portal, and with a high probability its behavior on the portal will not change or will change slightly. The same applies to users from the third class and second class.

[0169] The user class can be changed / revised based on an analysis of user behavior on the portal, in particular, by analyzing user actions / user interaction with the portal with the content of other users, with other users, etc.

[0170] When selecting recommended content, the content collected in the collection by a user from the third class is usually not shown to other users, in particular, users of the same archetype as the mentioned user from the third class, as the user himself is not displayed to other users of the same archetype.

[0171] It is worth noting that if the user is assigned the first class of the user, then with a higher degree of probability, such a user will continue to interact with quality and useful content for other users, etc., and, as a rule, the revision of the user class from the first class is not required, i.e. with a high degree of probability, a user from the first class will always remain a user from the first class. Thus, regular monitoring of a user from the first class (in order to clarify the fact whether it is not worth lowering the class for such a user) is not required, since the probability that the user, for example, will begin to interact with low-quality content, etc., is extremely small .

[0172] A similar situation is also characteristic of users from the third class, i.e. with a greater degree of probability, the user from the third class will not go to the class above, i.e. will not become a user from the third or second class. Users from the third class also, as a rule, do not need to be monitored in order to change their class, since a user from the third class is unlikely to start interacting with high-quality content, perform actions significant for the portal, etc.

[0173] Users from the second class are the so-called slave class of users, i.e. can interact with both high-quality content and low-quality content. Often, it is necessary to check the activity (user actions on the portal, interaction with elements / objects of the portal, etc.) of such a class of users in order to possible change the class for the user in the direction of increasing his class or in the direction of lowering his class.

[0174] When establishing user classes, the type of content, the focus of the resource (the focus of the content of the resource), etc., with which the user interacts and the general focus of the resource that dominates the resource or which should dominate the resource, can also be taken into account. The direction of the resource (the direction of the content of the resource / the direction of the portal / the direction of the content of the portal) can be determined by users, for example, their interests, or by a moderator, for example, depending on the type of legal entities and the type of goods and services that they promote / advertise. Thus, at some point in time, if there is a change in the direction of the content on the resource (the direction of the resource), all user classes (for all users or for each individual class or user group) can be reviewed / refined / changed depending on what content / type of content dominates or should dominate the portal, for example, depending on the direction of the portal / resource. So, for example, when changing the direction of the resource or adding the direction of the resource to existing directions of the resource, users from the second class can be upgraded to users of the first class or can be reduced to users of the third class, etc.

[0175] As mentioned above, when determining the class / category / type of a user, not only the content with which the user interacts is taken into account (selects, draws attention to such content), but also the frequency of the user's appearance on the resource or the frequency of such user accesses to the content . For example, a user can highlight / draw attention to content (like (from the English “Like”), repost (from the English “Repost”), etc.) content that is interesting to other users and companies, high-quality content, but can do this is only once a month or a quarter, or a year, such a user will most likely not be assigned the first class / type of user (first category of users), because if another user subscribes to such a user, then content from first user. So, a user can initially upload 10-20 photos, articles, make several high-quality reposts (placing other users' content in their collections), etc., but then he stops performing such actions, in this case, another user that subscribes to such an inactive user, for a long time or will never see the content that such a low-activity user has noticed. Thus, the subscribed user will not receive new or updated content from the inactive user to which he has subscribed.

[0176] Change of user classes (remoderation of user classes) can be controlled by triggers informing the system (tool / module) responsible for revising user classes, or the resource administrator, moderator / editor of the portal. Such triggers can send system messages or messages to the moderator about the need to revise the user class, about the need to check the user class, or about the need to clarify the user class and check its behavior on the portal, including user activity, interaction with portal content, etc.

[0177] These triggers include a prolonged absence of a user on the portal, a lack of activity (for example, it doesn’t save elements / elements of portal content in its collections, it doesn’t load much content, etc.), increased activity / spam (it saves the content too often his collections, too often shares content with other users, writes too many comments on the content of other users, for example, compared to other users, compared to his previous activity, etc.). So, for example, the user could initially save (load, interact with, etc.) several high-quality content elements / objects, and then start saving low-quality content, in this case a trigger to refine the user's class will work, after which his class will be left without changes, or, in this case, reduced.

[0178] Depending on the direction of the resource, triggers can be configured accordingly, that is, for example, to trigger user interaction with content that matches the direction of resources, or interaction with content that does not match the direction of the resource.

[0179] Thus, when remodeling (re-moderating) a user's class, many factors are taken into account, in particular the number of downloads / saves of content by the user, the date of the last visit to the portal, etc., including other user activity on the portal, taking into account the possibility of collecting and processing the accumulated data about user behavior on the portal.

[0180] As mentioned above, the portal users are selected and displayed the recommended unique content (elements / objects of the portal), in particular, the unique content of users from the first class.

[0181] The uniqueness of the recommended content can be established by checking the relationships between the content elements / objects, by reconciling the content of the portal elements / objects, including recognition of images / image elements, or by other methods and means to establish the uniqueness of the content. So, for example, the same content placed in the collection of the first user can be saved in the collections of other users (in the particular case, belonging to the same archetype), so that, in this case, the relationship of the saved elements / objects of the portal can be tracked by communication with content hosted by the first user’s collection.

[0182] It is worth noting that when placing content on a portal, for example, when downloading content to a portal by a company / store or any other portal user, as a rule, a link to external data sources is used, for example, a link from the Internet (or from local resources user, network and cloud data storages, etc.) to an image, article, video file, audio recording and any other type of content, in this case, such a link can be converted into an internal portal link (for example, a link to store collection / to a company offering its products and / or services, etc.), which can be used to establish the uniqueness of content on it, i.e. any saving, re-saving (re-saving) of the content (repost / repost), for example, to the user's collection will refer to the content posted in the collection of the store / company. So, for example, two shops / companies, another legal or natural person (in general - portal users), for example, offering (in particular, selling, advertising, etc.) its services, goods, etc. can use the same (external) link (for example, "http: // site-various pictures-and-images. rf / image link") as a part of their content (element of an object / resource object) to content from the network The Internet (for example, an image), in particular, from one source, however, two links will be created for two stores: the content (image in this case) of one store and the content of another store, i.e. these will be two different internal links, for example, "https: //name-portal-rf.rf/store1/collection1/image1.png1." png ". The same content or part of the content used by different users (in the case described here by stores / companies) may have different descriptions, and such content can be placed by stores in their collections by stores with different contexts. So, for example, the same product may have the same description (or a different description: partially or completely), but refer to different dates, events, personalities, shops, areas of application, etc. For example, the content (in particular, the goods of two stores) “Shaving foam” with or without an image may have a description related to the New Year holidays: “What to give a man for the new year?”, “In the new year - with our shaving foam etc., and may have a description related to the holiday of Valentine's Day: “What should I give to my beloved man?”, “Great gift for the day of all lovers”, etc. Either the description may coincide, but the hash tags for these two content may differ, for example, “#New Year” and “AllValentine's Day”, or the difference in context can be expressed in any other way, including by adding the first content and the second to the image content of various visual elements, for example, images of a Christmas tree, bow, heart, etc. In this case, the context of both elements of the resource (content) will be different.

[0183] It is also worth noting that the content context can be determined based on the collection into which it was added by the user, as well as a signature on such content, for example, when saving to the collection (or when saving the same content in the user’s collection / packs with the same name) with different signatures, user comments, or the context may depend on the user's comment when sending such content to another user, for example, “Is it worth to buy?” and “Like” will determine a different context To the same content.

[0184] FIG. 3 shows an exemplary process for generating a user archetype.

[0185] After registering the user on the resource in step 310, the user-specified data 315 during registration is stored in a data store, for example, in the database of the resource’s hard disk or associated storage device, for example, a network hard drive. It is worth noting that in addition to the data specified by the user, any other data available about the user (as described above) can be stored, for example, from social networks, messaging applications, email messages, data from the exchange of information on the resource, from a web browser user etc. Next, in step 320, on the resource, the above analysis of user behavior / actions on the resource is performed, the results of which are stored in the form of data on user actions 325 in a data warehouse, for example, in a database located on the resource’s hard drive or on a data storage device associated with the resource moreover, data on user actions can be stored together with user data 315 and / or in a data store that stores user archetypes 375 and / or in a content store of resource 385, in which, for example, one and the same database or in the same data warehouse or in different databases of the same data store.

[0186] In step 330, a user archetype is generated (creating a new archetype or selecting / selecting one of the existing user archetypes) (selection). At step 340, it is checked whether there is enough collected data (data 315 and / or data 325) about the user to determine the first of the possible user categories, if so, the process proceeds to step 350, in which, if the number of categories is set for users more than one category (as described above), the sufficiency of the collected user data is checked to form a second category for the user (user category). If in step 340 it was found that the collected data about the user and / or his actions / interactions with the resource is not enough to determine the first category of user, the process proceeds to step 365, in which the user selects and displays the content of the resource 385 based on the collected information about it data, for example, from archetypes of other users (other user archetypes) or from any content of the resource, for example, if the resource does not contain any archetype, or if there are no close archetypes of users with categories from which the recommended content of the resource is selected. After step 365, the process returns to step 320.

[0187] If it was determined in step 350 that the collected data were insufficient to form / determine the second category of archetype, the process proceeds to step 365.

[0188] The process of checking the sufficiency of the data collected about the user and his actions on the resource is repeated, implemented by steps of type 340 and 350, until it is established (in step 370) that enough data has been collected to form all categories, the number of which is determined in the archetype, for example, by the moderator of the resource, or by the algorithm, as described above, or when changing the number of categories in archetypes, etc.

[0189] If it was determined in step 370 that the data collected about the user and his actions are sufficient to generate all categories of archetype, and therefore to create a new archetype or assign the user an archetype existing on the resource, the process proceeds to step 370, in which a new user archetype is generated, or the user is assigned to the existing user archetype. If a new user archetype is created, it is stored in data storage 375 (for example, represented by a database on a storage device such as a hard disk of a computing device / server, network data storage, etc.), for example, a user archetype store or in a user data store 315 or in the 325 user activity data warehouse.

[0190] If it is determined in step 360 that the collected data about the user and his actions are not enough to form all categories of the user and identify an archetype for the user, the process proceeds to step 365.

[0191] After step 370, the process proceeds to step 380, which selects and recommends (displays) the selected content of the resource 385 to the user from the categories of the user archetype and, optionally, based on the data on the actions of the user 325 and the data of the user 315, after which the process returns to step 320.

[0192] FIG. 4 shows a diagram of the correspondence of archetypes to users (correspondence of users to archetypes) and the change of the user archetype during the adjustment of the user archetype.

[0193] As mentioned above, the archetypes of users 410 are created even if such an archetype was found in one user. As a rule, when there are few users on the portal, for example, the portal was recently launched, an increase in the number of archetypes is noticeable, but after a certain time, the number of archetypes created decreases, since 420 users (new users, users with a changed archetype, etc.) are added to existing archetypes, i.e. users are assigned one of the existing archetypes.

[0194] When the user (in this case, "User 9") changes the archetype as described above, he moves from one user archetype ("Archetype 3") to another user archetype ("Archetype 2"), as demonstrated by transition 430.

[0195] At some point in time, the number of archetypes becomes stable, that is, the number of new archetypes added to the system becomes small, compared with the total existing number of archetypes (previously added to the system), or archetypes completely cease to be created.

[0196] FIG. 5 depicts an exemplary embodiment of a system implementing the present invention. The system includes a module / means for collecting data storage and processing 510. Data collected, stored and processed by Module 510, as mentioned above, can be divided into several types of data type / type: data (520) collected / received during user registration on resource data provided by a user’s device’s resource, user’s operating system, user’s applications, user web browsers, including cookies, geolocation data, user device type, OS type, etc. and data (530) associated with user actions during a particular user interaction with a resource, etc.

[0197] It is also worth noting that the data collected and processed above is not limited only to the mentioned types / types of data, but may include the time spent by the user on the resource, the time the user interacted with the content, the frequency of the user visiting the resource, user interaction with other users resource, the amount of stored resource content in user collections.

[0198] It is also worth noting that the user's primary data (related to the user and obtained during user registration on the resource), data related to user actions and possible other types / types of data can be stored in one database or in several databases, for example, separated by data type (initial user data, data related to user actions), or separated by users, user classes (as described above), by user archetypes (archetypes, selected / Designated / appropriate users), etc.

[0199] The system depicted in FIG. 5 also includes a module / tool for analyzing data (550) related to users of the resource (associated with users of the resource) and data related to user actions / user interaction with the resource (in particular, resource content) or other users and user content, for example content uploaded by users, as described below.

[0200] The system of FIG. 5 also includes a Module / tool (560) for generating, selecting and adjusting user archetypes, as well as a Module / tool (570) for generating, selecting, and adjusting user types / classes. Module / tool 560 is responsible for creating / forming a user archetype, correlating a user archetype with a specific user or group of users, and for assigning users to a specific user archetype. Module / tool 570 is responsible for creating / generating and updating / updating the type / class of the user / users.

[0201] The system of FIG. 5 includes a module / tool (580) for selecting recommended content for users, which is responsible for finding content that matches a particular archetype of the user, after which the selected content is displayed to users through module 590, for example, in a window for displaying content to users (100 in FIG. 1).

[0202] FIG. Figure 6 shows an example of a general-purpose computer system that includes a multi-purpose computing device in the form of a computer 20 or a server including a processor 21, a system memory 22, and a system bus 23 that couples various system components, including the system memory to the processor 21.

[0203] The system bus 23 may be any of various types of bus structures, including a memory bus or memory controller, a peripheral bus, and a local bus using any of a variety of bus architectures. System memory includes read-only memory (ROM) 24 and random access memory (RAM) 25. The ROM 24 stores the basic input / output system 26 (BIOS), consisting of basic routines that help exchange information between elements within the computer 20, for example, at the time of launch.

[0204] Computer 20 may also include a hard disk drive 27 for reading from and writing to a hard disk, not shown, a magnetic disk drive 28 for reading from or writing to a removable magnetic disk 29, and an optical disk drive 30 for reading from or writing to a removable optical disc 31 such as a CD, a digital video disc, and other optical means. The hard disk drive 27, the magnetic disk drive 28, and the optical disk drive 30 are connected to the system bus 23 by means of the hard disk drive interface 32, the magnetic disk drive interface 33, and the optical drive interface 34, respectively. Storage devices and their respective computer-readable means provide non-volatile storage of computer-readable instructions, data structures, program modules and other data for computer 20.

[0205] Although the typical configuration described here uses a hard disk, a removable magnetic disk 29, and a removable optical disk 31, one skilled in the art will appreciate that other types of computer-readable media that can store data that are accessible with using a computer, such as magnetic tapes, flash memory cards, digital video discs, Bernoulli cartridges, random access memory (RAM), read-only memory (ROM), etc.

[0206] Various software modules, including operating system 35, may be stored on a hard disk, magnetic disk 29, optical disk 31, ROM 24, or RAM 25. Computer 20 includes a file system 36 associated with the operating system 35 or included in it, one or more software applications 37, other program modules 38 and program data 39. The user can enter commands and information into the computer 20 using input devices such as a keyboard 40 and pointing device 42. Other input devices (not shown) may include yuchat a microphone, joystick, game pad, satellite dish, scanner, or any other.

[0207] These and other input devices are connected to the processor 21 often via a serial port interface 46 that is connected to the system bus, but can be connected via other interfaces, such as a parallel port, game port, or universal serial bus (USB). A monitor 47 or other type of visual display device is also connected to the system bus 23 via an interface, such as a video adapter 48. In addition to the monitor 47, personal computers typically include other peripheral output devices (not shown), such as speakers and printers.

[0208] Computer 20 may operate in a networked environment through logical connections to one or more remote computers 49. The remote computer (or computers) 49 may be another computer, server, router, network PC, peer device, or other node on a single network, and also typically includes most or all of the elements described above with respect to computer 20, although only an information storage device 50 is shown. Logical connections include a local area network (LAN) 51 and a global computer network (GCS) 52. Such network environments are commonly found in institutions, corporate computer networks, intranets, and the Internet.

[0209] A computer 20 used in a LAN network environment is connected to a local area network 51 via a network interface or adapter 53. A computer 20 used in a GKS network environment typically uses a modem 54 or other means to establish communication with a global computer network 52, such like the internet.

[0210] The modem 54, which may be internal or external, is connected to the system bus 23 via the serial port interface 46. In a networked environment, program modules or parts thereof described with reference to computer 20 may be stored on a remote information storage device. It should be noted that the network connections shown are typical, and other means may be used to establish communication communication between computers.

[0211] In conclusion, it should be noted that the information contained in the description are examples that do not limit the scope of the present invention described by the claims. One skilled in the art will recognize that there may be other embodiments of the present invention consistent with the spirit and scope of the present invention.

Claims (33)

1. A method for selecting and displaying the content of a web resource to a user of a web resource, comprising the following steps: - registration of users on a web resource indicating user data and user interests; - user interaction with the content of the web resource; - creation by users of user collections on a web resource containing links to the content of the web resource and / or links to content uploaded by the user to the web resource from the Internet, and / or containing content downloaded from the user's data store, and / or containing content uploaded to a web resource through users indicating links to web pages with content from the Internet; - definition for each user of custom categories of web resource content; - creating an archetype of users containing at least one category of content for one archetype of the user, based on the interaction of users with the content of the web resource; - assignment to the user of at least one user archetype; - selection of the content of the web resource to the user based on the archetype of the user if the user is assigned the archetype of the user, and selection of the content of the web resource to the user based on the known user data and the interactions of the user and the content of the web resource collected by the web resource; - displaying the selected content of the web resource to the user on the web resource. 2. The method according to p. 1, characterized in that the user interaction with the web resource includes the following actions: - selection of content by the user through data input devices; - User sending a link to content to other users (reblog); - marking by the user of the content as liked; - user subscribing to content; - the user adding content to the basket in order to complete the purchase of the goods described by the content, the content being a description of the goods and / or an offer to buy goods and / or an offer to order a service; - purchase by the user of the product described by the content. 3. The method according to p. 1, characterized in that the number of categories of content in the user archetype may vary over time. 4. The method according to claim 1, characterized in that the categories of content in the user archetype are ordered in descending order of the weights of the categories of content. 5. The method according to claim 4, characterized in that the archetypes of users differ in categories and / or arrangement of categories in the archetype of the user and / or the number of categories in the archetype of the user. 6. The method according to p. 4, characterized in that several categories of content can occupy one position in the archetype of the user. 7. The method according to claim 6, characterized in that the categories of content occupying the same position in the archetype of the user are determined by the magnitude of the difference in the values of the weights for such categories of content. 8. The method according to p. 1, characterized in that the weight of the content category is calculated taking into account the coefficient of user interaction with content and the number of user interactions with content. 9. The method according to p. 1, characterized in that the user is a person selling and / or advertising goods and / or services. 10. The method according to p. 1, characterized in that the web resource is a website, web portal. 11. The method according to p. 1, characterized in that the user may be recommended the content of other users with the same archetype of users. 12. The method according to p. 1, characterized in that the change in the user archetype is based on the analysis of user actions on the web resource. 13. The method according to p. 1, characterized in that the categories are created on the web resource by the moderator of the web resource. 14. The method according to claim 1, characterized in that virtual categories are created on the web resource based on the analysis of user interaction with the content. 15. The method according to p. 14, characterized in that the virtual categories are converted into categories of a web resource by a moderator or automatically by means of a web resource. 16. The method according to p. 14, characterized in that the virtual categories are created from user collections. 17. The method according to claim 1, characterized in that the user is assigned a temporary user archetype containing an insufficient number of content categories to form the user archetype. 18. The method according to p. 1, characterized in that the user is assigned a user class based on the quality of user actions on the web resource and / or the frequency of user interaction with the content of the web resource, and / or the time spent by the user on the web resource, and / or frequency of user visits to a web resource, where the higher the class of the user, the more content from the categories of the archetype of such a user is recommended to other users. 19. The method according to claim 1, characterized in that the highest and lowest classes of users are not revised depending on the classes of users.

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