CN104572846B - A kind of hot word recommendation methods, devices and systems - Google Patents
A kind of hot word recommendation methods, devices and systems Download PDFInfo
- Publication number
- CN104572846B CN104572846B CN201410773140.2A CN201410773140A CN104572846B CN 104572846 B CN104572846 B CN 104572846B CN 201410773140 A CN201410773140 A CN 201410773140A CN 104572846 B CN104572846 B CN 104572846B
- Authority
- CN
- China
- Prior art keywords
- recommended
- search
- hotword
- hot words
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of hot words to recommend methods, devices and systems, when identifying that user has search need, show recommendation hot word in other interface zones in addition to search box, the recommendation hot word includes the hot word that corresponding search result is showed with resource list style and at least one of the hot word that corresponding search result is showed with details page pattern.The invention enables users when scanning for it can be seen that greater number of recommendation hot word, meets the search need of user as far as possible, provides the user with enough reference values.It avoids the problem that user enters to check in application, not knowing how this searches for.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of computer application, in particular to a hot word recommendation method, device and system.
[ background of the invention ]
From the perspective of mobile device users, with the rapid popularization of intelligent mobile devices and the great increase of mobile network speed, people have higher and higher requirements for obtaining important information and applications in scattered time. With the explosive growth of mobile internet applications and data information, users cannot search or view all information, and some users often do not know what search terms or information contents should be searched, so how to effectively recommend better search terms or information contents to users makes it an urgent need for users to find their needs in a shorter time.
Taking an application store-type client as an example, when a user opens the application store-type client, many users wish to download some applications through searching and install the applications in an intelligent mobile terminal, in order to guide the user, in the prior art, a name of a search hotword may be displayed in a home page search bar of the application store-type client, as shown in fig. 1, a "hundred-degree mobile phone assistant" is displayed in the search bar, the search hotword is usually a word with the highest search hotness at present, or a hotword recommended based on a certain operation policy, and some specific hotword applications are displayed in other places of a home page interface and are available for the user to download. However, one search hotword often cannot meet the requirements of users and cannot provide enough reference value for different users.
[ summary of the invention ]
In view of this, the invention provides a hotword recommendation method, device and system, so as to meet the search requirement of a user as much as possible and provide a sufficient reference value for the user.
The specific technical scheme is as follows:
the invention provides a hotword recommendation method, which comprises the following steps:
when the fact that the user has a search requirement is identified, displaying the recommended hot words in other interface areas except the search box;
the recommended hot words comprise at least one of hot words displayed by the corresponding search results in a resource list mode and hot words displayed by the corresponding search results in a detail page mode.
According to a preferred embodiment of the present invention, the identifying that the user has a search requirement includes:
and acquiring the operation of clicking the search box by the user.
According to a preferred embodiment of the present invention, the hotwords presented in the resource list style corresponding to the search results include common recommended hotwords and special recommended hotwords;
the search results displayed in a resource list mode corresponding to the common recommended hotword comprise: the common recommended hot words are matched with the resources in the search database;
the search results displayed in a resource list mode corresponding to the special type recommendation hotword comprise: the special type recommendation hot words are matched with resources contained in the topics in the search database;
and the hot words displayed by the corresponding search results in the detail page style are special recommendation hot words.
According to a preferred embodiment of the present invention, the common recommended hotword is presented in a common case, and the special recommended hotword is presented in a special type identifier or a combination of the special type identifier and the common case.
According to a preferred embodiment of the invention, the pattern identifier comprises a picture, a highlight or an emphasis identifier.
According to a preferred embodiment of the invention, the method further comprises:
and when the search box is initially displayed, displaying the search recommendation hot words in the search box.
According to a preferred embodiment of the present invention, the presenting of the recommended hotword in the other interface area except the search box includes the searching the recommended hotword.
According to a preferred embodiment of the present invention, the presenting the recommended hotword in the other interface area except the search box includes:
preferentially selecting the recommended hot words with high priority to be displayed in other interface areas except the search box according to the priority of the recommended hot words; wherein the priority of the recommended hot words is determined by at least one of the search heat, the hot word type, whether the hot words have been searched by the user of the client, and whether the hot words are recommended for the search.
According to a preferred embodiment of the invention, the method further comprises:
and when the recommended hot word is selected, acquiring and displaying a search result of a resource list style corresponding to the recommended hot word or a resource detail page corresponding to the recommended hot word.
According to a preferred embodiment of the present invention, the resource detail page includes resource entry information corresponding to the recommended hotword, entry information of a sub-resource in a resource, entry information of an associated resource, or a secondary search recommended hotword.
According to a preferred embodiment of the invention, the resource detail page is presented in a static fashion or in a slidable fashion.
According to a preferred embodiment of the invention, the method further comprises: acquiring recommended hotwords from a server in advance and storing the recommended hotwords in a local place; when the recommended hot words are displayed, displaying the locally stored recommended hot words according to a preset display style; or,
and when the user is identified to have the search requirement, acquiring the recommended hot words from the server, and displaying the acquired recommended hot words according to a preset display style.
The invention also provides a hotword recommendation method, which comprises the following steps:
and sending the recommended hot words to a client so that when the client identifies that the user has a search requirement, other interface areas except the search box show the recommended hot words, wherein the recommended hot words comprise at least one of hot words shown by corresponding search results as resource list styles and hot words shown by corresponding search results as detail page styles.
According to a preferred embodiment of the present invention, when receiving a connection request from the client, sending the recommended hotword to the client; or,
and when a request sent when the client identifies that the user has a search requirement is received, sending the recommended hot word to the client.
According to a preferred embodiment of the invention, the method further comprises:
determining a recommended hot word sent to the client according to at least one of a search statistic result, user attributes, hot word types and operation recommendation information; the search statistical result is obtained by performing statistical analysis on at least one of the search terms uploaded by the client and the operation information of the search result.
The invention provides a hot word recommendation device, which comprises:
an identification unit for identifying a user requirement;
and the first presentation unit is used for presenting the recommended hot words in other interface areas except the search box when the identification unit identifies that the user has the search requirement, wherein the recommended hot words comprise at least one of hot words presented in a resource list mode corresponding to the search result and hot words presented in a detail page mode corresponding to the search result.
According to a preferred embodiment of the present invention, the identification unit is specifically configured to identify that the user has a search requirement when acquiring an operation that the user clicks a search box.
According to a preferred embodiment of the present invention, the hotwords presented in the resource list style corresponding to the search results include common recommended hotwords and special recommended hotwords;
the search results displayed in a resource list mode corresponding to the common recommended hotword comprise: the common recommended hot words are matched with the resources in the search database;
the search results displayed in a resource list mode corresponding to the special type recommendation hotword comprise: the special type recommendation hot words are matched with resources contained in the topics in the search database;
and the hot words displayed by the corresponding search results in the detail page style are special recommendation hot words.
According to a preferred embodiment of the present invention, the first presentation unit is specifically configured to present the general recommended hotword in a general case manner, and present the special recommended hotword in a special type identifier or in a combination manner of the special type identifier and the general case.
According to a preferred embodiment of the invention, the pattern identifier comprises a picture, a highlight or an emphasis identifier.
According to a preferred embodiment of the invention, the apparatus further comprises:
and the second display unit is used for displaying the search recommendation hot words in the search box when the search box is initially displayed.
According to a preferred embodiment of the present invention, the recommended hotword presented by the first presentation unit includes the search recommended hotword.
According to a preferred embodiment of the present invention, the first presentation unit is specifically configured to preferentially select a recommended hotword with a high priority to be presented in an interface area other than the search box according to the priority of the recommended hotword; wherein the priority of the recommended hot words is determined by at least one of the search heat, the hot word type, whether the hot words have been searched by the user of the client, and whether the hot words are recommended for the search.
According to a preferred embodiment of the invention, the apparatus further comprises:
the result acquisition unit is used for acquiring a search result of a resource list style corresponding to the recommended hot word or a resource detail page corresponding to the recommended hot word when the recommended hot word is selected;
and the third display unit is used for displaying the search result of the resource list style corresponding to the recommended hot word or the resource detail page corresponding to the recommended hot word.
According to a preferred embodiment of the present invention, the resource detail page includes resource entry information corresponding to the recommended hotword, entry information of a sub-resource in a resource, entry information of an associated resource, or a secondary search recommended hotword.
According to a preferred embodiment of the present invention, the third presenting unit presents the resource detail page in a static manner or in a slidable manner.
According to a preferred embodiment of the invention, the device comprises: an acquisition unit;
the acquisition unit is used for acquiring the recommended hotword from the server and storing the recommended hotword in the local; the first presentation unit presents the locally stored recommended hot words according to a preset presentation style when the recommended hot words are presented; or,
the acquisition unit is used for acquiring the recommended hot words from the server when the identification unit identifies that the user has the search requirement; the first display unit displays the recommended hotword acquired by the acquisition unit according to a preset display style.
The invention also provides a hot word recommendation device, which comprises:
and the sending unit is used for sending the recommended hot words to the client so that when the client identifies that the user has a search requirement, the recommended hot words are displayed in other interface areas except the search box, and the recommended hot words comprise at least one of hot words displayed corresponding to the search result in a resource list mode and hot words displayed corresponding to the search result in a detail page mode.
According to a preferred embodiment of the invention, the apparatus further comprises: and the receiving unit is used for triggering the sending unit to send the recommended hotword to the client when receiving a connection request of the client or receiving a request sent when the client identifies that the user has a search requirement.
According to a preferred embodiment of the invention, the apparatus further comprises: the determining unit is used for determining the recommended hot words sent to the client according to at least one of the search statistical result, the user attribute, the hot word type and the operation recommendation information; the search statistical result is obtained by performing statistical analysis on at least one of the search terms uploaded by the client and the operation information of the search result.
The invention also provides a hot word recommendation system, which comprises: a client and a server respectively comprising the two devices.
According to the technical scheme, when the user is identified to have the search requirement, the recommendation hot words are displayed in the other interface areas except the search box, so that the user can see a larger number of recommendation hot words during searching, the search requirement of the user is met as much as possible, and a sufficient reference value is provided for the user. The problem that the user cannot know how to search and view when entering the application is solved.
[ description of the drawings ]
FIG. 1 is a diagram illustrating an example of searching hot words in the prior art;
fig. 2 is a flowchart of a hotword recommendation method executed by a client according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating a display example of search recommendation hotwords according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating an example of a common case according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating an example of a combination of a common document and a picture according to an embodiment of the present invention;
FIG. 6 is a diagram illustrating an example of a combination of a common case and an emphasized identifier according to an embodiment of the present invention;
FIG. 7 is a diagram illustrating an example of search results of common recommended hotwords according to an embodiment of the present invention;
fig. 8 is a diagram showing an example of a first detail page corresponding to a special recommended hotword according to an embodiment of the present invention;
fig. 9 is a diagram showing an example of a second detail page corresponding to a special recommended hotword according to an embodiment of the present invention;
fig. 10 is a diagram showing an example of a third detail page corresponding to the special recommended hotword according to the embodiment of the present invention;
FIG. 11 is a diagram of a detail page sliding style showing an example according to an embodiment of the present invention;
FIG. 12 is a diagram of another example of a detail page sliding style presentation according to an embodiment of the present invention;
fig. 13 is a diagram illustrating a search result showing example when a secondary search recommended word is selected according to an embodiment of the present invention;
FIG. 14 is a block diagram of an apparatus according to an embodiment of the present invention;
fig. 15 is a structural view of another apparatus according to an embodiment of the present invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments.
In the prior art, when an interface of an application is initialized, a search recommendation hot word can be displayed in a search bar of a home page, and other interface areas can display some specific resource lists, so that even if a user has a search requirement and prepares to input the search word in a search box, the contents of other interface areas do not change, and if the user needs to search for the search hot word which is not displayed in the search bar, the user needs to manually input the search word in the search box. The core idea of the invention is that when the user is identified to have the search requirement, the recommended hot words are displayed in other interface areas except the search box, wherein the recommended hot words can comprise at least one of common recommended hot words and special recommended hot words. So that the user can select one of the recommended hotwords to search.
The recommended hotword is issued to the client by the server, but the following two modes can be available:
the first mode is as follows: and the server encapsulates the recommended hot words and the related data information in advance and then issues the encapsulated recommended hot words and the encapsulated related data information to the client.
The second mode is as follows: when the client identifies that the user has a search requirement, the client requests the server to recommend the hot words, and the server issues the recommended hot words and the related data information to the client according to the request.
In any mode, the server side is responsible for generating the recommended hotword and the related data information thereof. Meanwhile, the server side can perform statistical analysis and recommendation optimization on at least one of the search terms uploaded by the client side and the operation information of the search results, wherein the operation information of the search results can comprise operations of clicking, browsing, using, downloading and the like on the search results; and determining the recommended hot words sent to the client according to at least one of the search statistical result, the user attribute, the hot word type and the operation recommendation information. The user attribute can comprise the geographic position of the client, the user gender, the user work type, the user age and the like, and the purpose of recommending the hotword is determined by combining the user attribute so as to realize accurate recommendation of the personalized hotword for the user. The hot word types refer to different hot word types such as common recommended hot words or special recommended hot words, and the number of the two types of recommended hot words is generally ensured. The operation recommendation information is mainly used for operation purposes, for example, the operation recommendation information is preferentially displayed for some hotwords.
Therefore, the server side can issue some recommended hot words which have high searching popularity, meet the user attributes and meet the operation strategies to the client side, and therefore the server side meets the searching requirements of the user as much as possible.
In addition, besides the recommended hotword, some related data information may be issued to the client, where the related data information may be a resource list and a detail page of the recommended hotword, or preview information based on an operation policy, or a special identifier of the special recommended hotword (the special identifier may be specifically referred to in subsequent embodiments), or resource entry information corresponding to the special recommended hotword (for example, a download address of an application, a purchase address of a product, and a view address of news), entry information of a sub-resource within the resource (for example, a view address of a specific video or even a specific episode in a certain video application, a view address of a specific book or even a specific book in an electronic book application), associated resource entry information (for example, a download address of an associated application, a purchase address of a related product, and a view address of related news), or a secondary search recommended hotword (the secondary search recommended hotword may be specifically referred to in subsequent embodiments), and the like.
For the client, the recommended hotword and the related data information need to be acquired and analyzed from the server. If the recommended hot words and the relevant data information thereof are obtained in advance and stored locally, reading the local recommended hot words and the relevant data information and displaying the recommended hot words with the configuration display quantity when the user is identified to have the search requirement. If the recommendation mode is obtained in real time, when the user is identified to have the search requirement, the accurate recommendation hot words and the related data information are obtained and analyzed from the server side, and then the accurate recommendation hot words with the configuration display quantity are displayed.
An embodiment is described below as a flow of a hotword recommendation method executed by a client, in this embodiment, application class search is taken as an example, and in this embodiment, a client acquires and stores a recommended hotword and related data information to the local in advance, as shown in the flow in fig. 2:
suppose that a user opens a client of an application store application, reads a local recommended hot word in step 201, selects one recommended hot word as a search recommended hot word, and displays the selected search recommended hot word in a search box, and if the selected search recommended hot word is "file management", then as shown in fig. 3, "everyone is searching for" file management' "may be displayed in the search box, and of course," file management "may be displayed only in the search box, or may be displayed in other manners in the search box. The mode of selecting the search recommendation hot words can be random selection, also can be selection according to priority, also can be fixed selection, and the like.
In addition, the search recommendation words presented in the search box may be dynamically changing, rather than being immutable. For example, the search recommendation words displayed in the search box are different each time the user opens the application store class application, or the search recommendation words in the search box may be automatically replaced every certain time, for example, 5 seconds.
In step 202, if the client identifies that the user has a search requirement, the recommended hotword is presented in other interface areas except the search box.
If the user selects the search box, e.g., clicks on the search box, indicating that the user is about to start the search, the recommended hotword may be presented in an interface area other than the search box. The recommended hotword here may include a general recommended hotword and a special recommended hotword.
When the client displays the recommended hot words, the recommended hot words with the configured display quantity can be selected from the locally stored recommended hot words according to the priority of each recommended hot word for displaying. Since the screen display area of the mobile terminal device is usually limited, in this embodiment, a certain display number, that is, the configuration display number, is configured in advance for the presented recommended hotword, and only the recommended hotword with the configuration display number can be displayed. When the recommended hotword is presented, the recommended hotword may be presented in the order of the priority.
The priority of the recommended hot words can be determined by at least one of the search popularity, the hot word type, whether the recommended hot words are searched by the user of the client, whether the recommended hot words are clicked by the user of the client, and whether the recommended hot words are searched.
For example, the higher the search popularity, the higher the priority of recommending hot words may be set.
The priority of the special type recommended hot words can be set to be higher than that of the common recommended hot words, or the priority of the common recommended hot words is higher than that of the special type recommended hot words, or the priorities of the common recommended hot words and the special type recommended hot words can be set to be the same as each other. This setting can be set and adjusted as desired.
The priority of the recommended hot words searched by the user of the client can be set to be lower, the reason for doing so is that the probability of searching again is lower for the recommended hot words searched by the user, and the recommendation showing chance of not showing the hot words can be improved by setting the priority of the recommended hot words searched by the user to be lower.
The priority of the recommended hot word currently used as the search recommended hot word can be set to be higher, so that the recommended hot word used as the search recommended hot word can appear in other interface areas outside the search box again.
The recommended hotwords can be further subjected to dynamic priority adjustment according to whether the user checks or clicks, so that more recommended hotwords can obtain display opportunities.
When the recommended hotword is displayed, the common recommended hotword can be displayed by adopting a common hotword template, and the special recommended hotword can be displayed by adopting a special hotword template. The templates of the two may be the same or different.
When the common recommended hotword is displayed, the common recommended hotword can be displayed in a common case mode, and certainly, the special recommended hotword can also be displayed in a common case mode. As shown in fig. 4, the recommended hotword "listening book", "3D racing", "file management", "card", "photo beautification", "navigation software", "disinfection", "dynamic wallpaper" … … is presented in the form of a plain paper.
Preferably, when the special type recommended hotword is displayed, the special type mark or the combination of the special type mark and the common case can be used for displaying. Wherein the special type identifier can be a picture, a highlight or a highlight identifier, etc. As shown in fig. 5, "the strongest brain", "street shoot", " silk man" and "crazy old man" are special type recommended hotwords, which are presented in a manner of combining pictures with a common case, and other recommended hotwords are common recommended hotwords which are presented in a manner of a common case. The picture can be pre-stored locally at the client as related data information, and then is displayed by directly using the locally stored picture, or the address information of the picture can be only stored locally, and the picture is acquired according to the address information and then is displayed when the picture needs to be displayed. As shown in fig. 6, "unlock", "root authority …", and "piano" are special recommended hotwords, and may be presented in combination with a common case using a key identifier such as a dot (when the hotword cannot be presented completely in its designated display area, only the front main part may be presented in the form of tail truncation).
In addition, the number of the common recommended hotwords and the special recommended hotwords can be limited in the recommended hotwords, namely, a fixed number of special recommended hotwords and common recommended hotwords are displayed, so that hotwords of different types and different priorities can obtain the recommended showing opportunity.
If the user is interested in one of the recommended hot words and selects one of the recommended hot words by clicking, in step 203, search results in different forms are presented according to the type of the selected recommended hot word. If the common recommended hotword is selected, executing step 204; if the special recommended hotword is selected, step 205 is performed.
In step 204, the search results corresponding to the common recommended hotwords are presented in a resource list style. Taking an application as an example, assuming that the user selects a common recommendation hot word "mobile phone housekeeping", after obtaining a search result corresponding to "mobile phone housekeeping", each application of the search result is presented in a list form, as shown in fig. 7.
In step 205, a resource detail page corresponding to the special recommended hotword is displayed. The resource detail page may be a static style presentation or a dynamic style presentation, for example, a style presentation that can slide up and down or side-to-side.
In general, the resource detail page includes basic information, introduction, comments, and the like of the resource corresponding to the special recommended hotword, and may further include resource entry information and the like. As shown in fig. 8, when the user selects the special recommendation hotword "show", an application named "show" may be presented in the form of a detail page in which basic information, comments, introduction, and the like are included, and a download address (i.e., resource entry information) and the like are also included.
In another case, the resource entry information may be an entry of a sub-resource within a resource, which is particularly suitable for an in-application (app) resource, for example, when the user selects a special recommendation hotword "laugh away", a detail page thereof includes, in addition to information such as a brief introduction, entry addresses of sub-resources of 03.26 th, 03.24 th, 03.22 th, and the like as shown in fig. 9, and by clicking the entry address of the sub-resource, each sub-resource can be directly played, thereby realizing direct playing within a multimedia application such as a video of a specified number of sets.
Further, the detail page may further include entry information of related resources, taking the case shown in fig. 9 as an example, and the detail page further includes entry information of a video playing application used for playing the resource, such as "love art video player" and "Baidu video" in fig. 9, where the user may directly download the related resources, so as to further shorten a user demand path, and facilitate improvement of user experience and satisfaction.
In addition to the static presentation style, a dynamic presentation, such as a sliding style presentation, may be used, and the user may browse the contents of the resource detail page in a sliding manner. For example, as shown in fig. 10, when the user clicks the special recommendation hotword "strongest brain", the detail page of the application of "strongest brain" is displayed, and by means of a horizontal sliding mode, the user can slide to the detail page of the application of "king of the connecting lines of the strongest brain" as shown in fig. 11, and then slide backwards, and can slide to the detail page of the application of "brain scientists" as shown in fig. 12. This situation may be when the detail page is displayed, and at the same time, a prompt may be given to the side that other related content may continue to be browsed in a sliding manner, for example, a part of the content of the related page is displayed at the side.
In addition, whether a static presentation style or a dynamic presentation style is adopted, the detail page may further include a secondary search recommended hotword, which is generally a recommended hotword related to the currently presented resource. For example, in the detail page shown in fig. 11, the secondary search recommendation "leisure" is presented, and in the detail page shown in fig. 12, the secondary search recommendation "intellectual development" is presented, thereby helping the user to realize the related search.
And when the user continues to select the secondary search recommended word, obtaining a search result corresponding to the secondary search recommended word, and displaying the search result in a resource list style. For example, if the user clicks on the secondary search recommendation word "Intelligence development" in FIG. 12, the application corresponding to "intelligence development" is presented in a resource list style, as shown in FIG. 13.
The step 205 is a display example of the special type recommended hotword, and some special type recommended hotwords can also be displayed in a resource list form, which is mainly a resource in a thematic form. The special recommended hotword is different from the common recommended hotword in that: when the user clicks the common recommended hot word, the server side matches the common recommended hot word in the search database, and displays the matched resources in a list form. When a user clicks a special type recommendation hot word such as a topic, the special type recommendation hot word is matched in a search database at a server side, a certain topic can be matched, resources contained in the topic are returned, and the special type recommendation hot word is only one of flexible presentation styles of the special type recommendation hot word in a list form. For example, a topic is constructed in a database in advance for the 'duelen' at the server side, the topic comprises a series of e-commerce applications participating in the activity of the duelen, such as tianmao, wai, kyoto, amazon and the like, when a user clicks the special type recommendation hotword of the 'duelen' on a search interface, the applications contained in the topic matched with the 'duelen' are returned, and the applications can be presented to the user in the form of a resource list.
The above embodiment is an example of application class search, but the present invention is not limited to application class search, and may be applied to other types of search such as commodity class search, news class search, and the like.
As can be seen from the above description, the present invention is applicable to a system comprising a client and a server. The client and the server are described in detail below.
Fig. 14 is a schematic diagram of a device according to an embodiment of the present invention, where the device is disposed at a client, and as shown in fig. 14, the device includes: the identification unit 01 and the first presentation unit 02 may further include a second presentation unit 03, a result acquisition unit 04, a third presentation unit 05, and an acquisition unit 06.
The identification unit 01 is responsible for identifying user requirements, and can identify the user requirements according to user operations. Specifically, when the operation that the user clicks the search box is obtained, it is recognized that the user has a search requirement. When the identification unit 01 identifies that the user has a search requirement, the first presentation unit 02 presents the recommended hot words in other interface areas except the search box, wherein the recommended hot words comprise at least one of common recommended hot words and special recommended hot words. The search result corresponding to the common recommended hot word is shown in a resource list mode, the search result corresponding to the special recommended hot word is shown in a detail page mode, and the resource list mode can also be shown. So that the user can select one of the recommended hotwords to search.
Specifically, the first presentation unit 02 may preferentially select a recommended hot word with a high priority to be presented in other interface areas except the search box according to the priority of the recommended hot word; wherein the priority of the recommended hot words is determined by at least one of the search heat degree, the hot word type, whether the hot words have been searched by the user of the client, and whether the hot words are recommended for the search
For example, the higher the search popularity, the higher the priority of recommending hot words may be set.
The priority of the special type recommended hot words can be set to be higher than that of the common recommended hot words, or the priority of the common recommended hot words is higher than that of the special type recommended hot words, or the priorities of the common recommended hot words and the special type recommended hot words can be set to be the same as each other. This setting can be set and adjusted as desired.
The priority of the recommended hot words searched by the user can be set to be lower, and this is done because the probability of searching again is lower for the recommended hot words searched by the user.
The priority of the recommended hot word currently serving as the search recommended hot word may be set to be higher, which may cause the recommended hot word serving as the search recommended hot word to appear again in other interface areas than the search box.
When the recommended hotword is displayed, the common recommended hotword can be displayed by adopting a common hotword template, and the special recommended hotword can be displayed by adopting a special hotword template. The templates of the two templates can be the same or different, so that the flexible display is more convenient.
Preferably, the first presentation unit 02 may present the general recommended hotword in a general case manner, and present the special recommended hotword in a special type identifier or a combination manner of the special type identifier and the general case. Wherein the special type identifier may comprise a picture, highlight or highlight identifier.
The recommendation hot words displayed by the client are obtained from the server, and there are two ways:
in the first mode, the obtaining unit 06 obtains the recommended hotword from the server and stores the recommended hotword in the local. The first presentation unit 02 presents the locally stored recommended hotword according to a preset presentation style when the recommended hotword is presented. The first mode is shown in fig. 14.
In the second mode, the obtaining unit 06 obtains the recommended hotword from the server when the identifying unit 01 identifies that the user has a search requirement. The first presentation unit 02 presents the recommended hotword acquired by the acquisition unit 06 according to a preset presentation style.
In addition, when the search box is initially displayed, for example, the user has just opened the search box of the client display top page, the second presentation unit 03 may display the search recommendation hotword in the search box. The search recommendation hot words are selected from the recommendation hot words obtained by the server, and the mode for selecting the search recommendation hot words can be random selection, priority selection, fixed selection and the like. In addition, the search recommendation words presented in the search box may be dynamically changing, rather than being immutable. For example, the search recommendation word presented in the search box is different each time the user opens an application store class application.
The recommended hotword displayed by the second presentation unit 03 may be included in the recommended hotword displayed by the first presentation unit 02. And may be arranged in a more forward position.
When the user selects a common recommended hotword, for example, clicks one common recommended hotword, the result obtaining unit 04 obtains a search result of a resource list style corresponding to the selected common recommended hotword; the third presentation unit 05 presents the search result of the resource list style corresponding to the common recommended hotword. When the special type recommended hot word is selected, the obtaining unit 04 obtains a resource detail page corresponding to the selected special type recommended hot word or a search result of a resource list style corresponding to the special type recommended hot word; the third presentation unit 05 presents the resource detail page corresponding to the special recommendation hot word or the search result of the resource list style corresponding to the special recommendation hot word. The difference between the search result of the resource list style corresponding to the special recommended hot word and the search result of the resource list style corresponding to the common recommended hot word is as follows: the search result of the resource list style corresponding to the special type recommendation hot word is in a thematic form, namely when a user clicks the special type recommendation hot word such as a thematic, the special type recommendation hot word is matched in the search database at the server end, a certain thematic can be matched, and resources contained in the thematic are displayed in a list form. For example, a topic is constructed in a database in advance for the 'duelen' at the server side, the topic comprises a series of e-commerce applications participating in the activity of the duelen, such as tianmao, wai, kyoto, amazon and the like, when a user clicks the special type recommendation hotword of the 'duelen' on a search interface, the applications contained in the topic matched with the 'duelen' are returned, and the applications are presented to the user in the form of a resource list. When the user clicks the common recommended hot word, the server side directly matches the common recommended hot word in the database to obtain resources, and flexibly displays the resources obtained through matching in a list form.
The third presentation unit 05 presents the resource detail page in a static style or in a slidable style. The resource detail page may include resource entry information corresponding to the special recommendation hot word, entry information of a sub-resource in the resource, entry information of an associated resource, or a secondary search recommendation hot word.
Fig. 15 is a structural diagram of another apparatus according to an embodiment of the present invention, the apparatus is disposed at a server, and as shown in fig. 15, the apparatus includes: a transmitting unit 11, a receiving unit 12 and a determining unit 13.
The sending unit 11 is responsible for sending the recommended hotword to the client, so that when the client identifies that the user has a search requirement, the recommended hotword is displayed in an interface area except the search box, and the recommended hotword includes at least one of a common recommended hotword and a special recommended hotword. The search results corresponding to the common recommended hot words are shown in a resource list mode, and the search results corresponding to the special recommended hot words can be shown in a detail page mode or a resource list mode.
The following two occasions can be adopted for sending the recommended hotword to the client:
the first method comprises the following steps: the receiving unit 12 triggers the sending unit 11 to send the recommended hotword to the client when receiving a connection request of the client.
And the second method comprises the following steps: the receiving unit 12, upon receiving a request sent when the client recognizes that the user has a search demand, triggers the sending unit 11 to send the recommended hotword to the client.
At any time, the server side is responsible for generating the data information related to the recommended hotword machine. The determining unit 13 is responsible for determining a recommended hotword sent to the client according to at least one of a search statistic result, a user attribute, a hotword type and operation recommendation information; the search statistical result is obtained by performing statistical analysis on at least one of the search terms uploaded by the client and the operation information of the search result.
The user attribute can comprise the geographic position of the client, the user gender, the user work type, the user age and the like, and the purpose of recommending the hotword is determined by combining the user attribute so as to realize personalized hotword recommendation for the user. The hot word type refers to a common recommended hot word or a special recommended hot word in the invention, and usually, a plurality of numbers of the two types of recommended hot words are ensured. The operation recommendation information is mainly used for operation purposes, for example, the operation recommendation information is preferentially displayed for some hotwords.
Therefore, the server side can issue some recommended hot words which are high in search popularity, accord with the user attributes and accord with the operation strategies to the client side, and therefore the server side meets the search requirements of the user as much as possible.
In addition, besides the recommended hotword, some related data information may be issued to the client, where the related data information may be a resource list and a detail page of the recommended hotword, or preview information based on an operation policy, or a special identifier of the special recommended hotword (the special identifier may be specifically referred to in subsequent embodiments), or resource entry information corresponding to the special recommended hotword (for example, a download address of an application, a purchase address of a product, and a view address of news), entry information of a sub-resource within the resource (for example, a view address of a specific video or even a specific episode in a certain video application, a view address of a specific book or even a specific book in an electronic book application), associated resource entry information (for example, a download address of an associated application, a purchase address of a related product, and a view address of related news), or a secondary search recommended hotword (the secondary search recommended hotword may be specifically referred to in subsequent embodiments), and the like.
From the above description, it can be seen that the method, apparatus and system provided by the present invention have the following advantages:
1) according to the method and the device, when the user is identified to have the search requirement, the recommended hot words are displayed in other interface areas except the search box, so that the user can see a larger number of recommended hot words during searching, the search requirement of the user is met as much as possible, and a sufficient reference value is provided for the user. The problem that the user cannot know how to search and view when entering the application is solved.
2) Through different display modes of the common recommended hotwords and the special recommended hotwords, the monotonous mode is eliminated, the visual perception of the user is improved in a flexible and various content mode, and the attention of the user to different information in different areas is enhanced and assisted.
3) The hot words are recommended through dynamic search in the search bar to attract the attention of the user, so that the user can directly search and is guided to enter a more detailed hot word recommendation interface.
4) And performing diversified display of styles on different types of recommended hotwords so as to enhance the acquisition requirements of users on different content information and shorten the path for the users to acquire resources. And the strategic and proper insertion special-type display of the business company is facilitated, and the attraction degree and the guide function to the user are enhanced.
5) The method and the device can perform secondary recommendation of the hotword according to the user interest or the operation requirement, on one hand, the path of the user for acquiring the resource is shortened, the user requirement is met as far as possible, and on the other hand, the operator can perform operation recommendation conveniently.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized by adopting a hardware mode, and can also be realized by adopting a mode of hardware and a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer-readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (31)
1. A hotword recommendation method, comprising:
when the fact that the user has a search requirement is identified, displaying the recommended hot words in other interface areas except the search box;
the recommendation hot words comprise special recommendation hot words, and the search results corresponding to the special recommendation hot words comprise: and the special type recommendation hot words are matched with resources contained in the topics in the search database, or search results are displayed in a resource detail page mode.
2. The method of claim 1, wherein the identifying that the user has a search requirement comprises:
and acquiring the operation of clicking the search box by the user.
3. The method of claim 1, wherein the recommended hotword further comprises a common recommended hotword, and the search result corresponding to the common recommended hotword comprises: and the common recommended hot words are displayed in a resource list mode in the resources matched in the search database.
4. The method according to claim 3, wherein the common recommended hotword is presented by a common case, and the special recommended hotword is presented by a special type identifier or a combination of the special type identifier and the common case.
5. The method of claim 4, wherein the type identifier comprises a picture, highlight, or highlight identifier.
6. The method of claim 1, further comprising:
and when the search box is initially displayed, displaying the search recommendation hot words in the search box.
7. The method of claim 6, wherein presenting the recommended hotword in an interface area other than a search box comprises searching the recommended hotword.
8. The method of claim 1, wherein presenting recommended hotwords in an interface area other than a search box comprises:
preferentially selecting the recommended hot words with high priority to be displayed in other interface areas except the search box according to the priority of the recommended hot words; wherein the priority of the recommended hot words is determined by at least one of the search heat, the hot word type, whether the hot words have been searched by the user, and whether the hot words are recommended for the search.
9. The method of claim 1, further comprising:
and when the recommended hot word is selected, obtaining and displaying a search result corresponding to the recommended hot word.
10. The method according to claim 9, wherein the resource detail page includes resource entry information corresponding to the recommended hot word, entry information of a sub-resource within a resource, entry information of an associated resource, or a secondary search recommended hot word.
11. The method of claim 9, wherein the resource detail page is presented in a static fashion or in a slidable fashion.
12. The method of any one of claims 1 to 11, further comprising: acquiring recommended hotwords from a server in advance and storing the recommended hotwords in a local place; when the recommended hot words are displayed, displaying the locally stored recommended hot words according to a preset display style; or,
and when the user is identified to have the search requirement, acquiring the recommended hot words from the server, and displaying the acquired recommended hot words according to a preset display style.
13. A hotword recommendation method, comprising:
sending the recommended hot words to a client so that when the client identifies that the user has a search requirement, other interface areas except the search box display the recommended hot words, the recommended hot words comprise special recommended hot words, and search results corresponding to the special recommended hot words comprise: and the special type recommendation hot words are matched with resources contained in the topics in the search database, or search results are displayed in a resource detail page mode.
14. The method according to claim 13, wherein the recommended hotword is sent to the client when receiving the connection request of the client; or,
and when a request sent when the client identifies that the user has a search requirement is received, sending the recommended hot word to the client.
15. The method of claim 13, further comprising:
determining a recommended hot word sent to the client according to at least one of a search statistic result, user attributes, hot word types and operation recommendation information; the search statistical result is obtained by performing statistical analysis on at least one of the search terms uploaded by the client and the operation information of the search result.
16. A hotword recommender, comprising:
an identification unit for identifying a user requirement;
the first presentation unit is used for presenting the recommended hot words in other interface areas except the search box when the identification unit identifies that the user has the search requirement, wherein the recommended hot words comprise special recommended hot words, and the search results corresponding to the special recommended hot words comprise: and the special type recommendation hot words are matched with resources contained in the topics in the search database, or search results are displayed in a resource detail page mode.
17. The apparatus according to claim 16, wherein the identifying unit is specifically configured to identify that the user has a search requirement when the operation of clicking the search box by the user is obtained.
18. The apparatus of claim 16, wherein the recommended hotword further comprises a common recommended hotword, and wherein the search result corresponding to the common recommended hotword comprises: and the common recommended hot words are displayed in a resource list mode in the resources matched in the search database.
19. The apparatus according to claim 18, wherein the first presentation unit is specifically configured to present the general recommended hotword in a general case manner, and present the special recommended hotword in a special type identifier or a combination of a special type identifier and a general case manner.
20. The apparatus of claim 19, wherein the profile identification comprises a picture, highlight, or highlight identifier.
21. The apparatus of claim 16, further comprising:
and the second display unit is used for displaying the search recommendation hot words in the search box when the search box is initially displayed.
22. The apparatus according to claim 21, wherein the recommended hotword presented by the first presentation unit comprises the search recommended hotword.
23. The apparatus according to claim 16, wherein the first presentation unit is specifically configured to preferentially select a recommended hotword with a high priority to be presented in an interface area other than the search box according to the priority of the recommended hotword; wherein the priority of the recommended hot words is determined by at least one of the search heat, the hot word type, whether the hot words have been searched by the user, and whether the hot words are recommended for the search.
24. The apparatus of claim 16, further comprising:
the result obtaining unit is used for obtaining a search result corresponding to the recommended hot word when the recommended hot word is selected;
and the third display unit is used for displaying the search result corresponding to the recommended hot word.
25. The apparatus according to claim 24, wherein the resource detail page includes resource entry information corresponding to the recommended hot word, entry information of a sub-resource within a resource, entry information of an associated resource, or a secondary search recommended hot word.
26. The apparatus according to claim 24, wherein the third presentation unit presents the resource detail page in a static manner or in a slidable manner.
27. The apparatus of claim 16, wherein the apparatus comprises: an acquisition unit;
the acquisition unit is used for acquiring the recommended hotword from the server and storing the recommended hotword in the local; the first presentation unit presents the locally stored recommended hot words according to a preset presentation style when the recommended hot words are presented; or,
the acquisition unit is used for acquiring the recommended hot words from the server when the identification unit identifies that the user has the search requirement; the first display unit displays the recommended hotword acquired by the acquisition unit according to a preset display style.
28. A hotword recommender, comprising:
the sending unit is used for sending the recommended hot words to the client so that when the client identifies that the user has a search requirement, other interface areas except the search box display the recommended hot words, the recommended hot words comprise special recommended hot words, and search results corresponding to the special recommended hot words comprise: and the special type recommendation hot words are matched with resources contained in the topics in the search database, or search results are displayed in a resource detail page mode.
29. The apparatus of claim 28, further comprising: and the receiving unit is used for triggering the sending unit to send the recommended hotword to the client when receiving a connection request of the client or receiving a request sent when the client identifies that the user has a search requirement.
30. The apparatus of claim 28, further comprising: the determining unit is used for determining the recommended hot words sent to the client according to at least one of the search statistical result, the user attribute, the hot word type and the operation recommendation information; the search statistical result is obtained by performing statistical analysis on at least one of the search terms uploaded by the client and the operation information of the search result.
31. A hotword recommendation system, comprising: a client and a server; the client comprising an apparatus as claimed in any of claims 16 to 27; the server comprises an apparatus as claimed in any of claims 28 to 30.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410773140.2A CN104572846B (en) | 2014-12-12 | 2014-12-12 | A kind of hot word recommendation methods, devices and systems |
| PCT/CN2015/094393 WO2016091044A1 (en) | 2014-12-12 | 2015-11-12 | Method, apparatus, system, device and computer storage medium for recommending hot words |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410773140.2A CN104572846B (en) | 2014-12-12 | 2014-12-12 | A kind of hot word recommendation methods, devices and systems |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104572846A CN104572846A (en) | 2015-04-29 |
| CN104572846B true CN104572846B (en) | 2018-10-16 |
Family
ID=53088908
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410773140.2A Active CN104572846B (en) | 2014-12-12 | 2014-12-12 | A kind of hot word recommendation methods, devices and systems |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN104572846B (en) |
| WO (1) | WO2016091044A1 (en) |
Families Citing this family (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104572846B (en) * | 2014-12-12 | 2018-10-16 | 百度在线网络技术(北京)有限公司 | A kind of hot word recommendation methods, devices and systems |
| CN106257448A (en) | 2015-06-19 | 2016-12-28 | 阿里巴巴集团控股有限公司 | The methods of exhibiting of a kind of key word and device |
| CN105307023B (en) * | 2015-10-30 | 2018-04-13 | 北京奇艺世纪科技有限公司 | Using recommendation method, apparatus and video recommendation method, device |
| CN105893467A (en) * | 2016-03-28 | 2016-08-24 | 北京麒麟合盛网络技术有限公司 | Information classification method and apparatus |
| CN106383630A (en) * | 2016-09-07 | 2017-02-08 | 网易(杭州)网络有限公司 | Book reading method and apparatus |
| CN106503233A (en) * | 2016-11-03 | 2017-03-15 | 北京挖玖电子商务有限公司 | Top search term commending system |
| CN106777148B (en) * | 2016-12-19 | 2020-04-07 | 北京小米移动软件有限公司 | Information retrieval method and device |
| CN106919693B (en) * | 2017-03-07 | 2020-12-01 | 阿里巴巴(中国)有限公司 | Method and device for improving hot word exposure coverage rate |
| CN106933381A (en) * | 2017-03-16 | 2017-07-07 | 联想(北京)有限公司 | A kind of information processing method and device |
| CN109117082A (en) * | 2017-06-23 | 2019-01-01 | 杭州美界科技有限公司 | A kind of beauty recommender system based on caching |
| CN109542545B (en) * | 2017-09-22 | 2022-07-29 | 北京国双科技有限公司 | Hot word display method and device |
| CN107784101B (en) * | 2017-10-25 | 2020-06-05 | 中国平安人寿保险股份有限公司 | Method, device and equipment for launching ciphertext and readable storage medium |
| CN108376149A (en) * | 2018-01-30 | 2018-08-07 | 北京百度网讯科技有限公司 | Method, apparatus, equipment and the computer storage media that information shows |
| CN108984073A (en) * | 2018-07-06 | 2018-12-11 | 北京微播视界科技有限公司 | A kind of searched page display methods, device, terminal and storage medium |
| CN109033296A (en) * | 2018-07-13 | 2018-12-18 | 网易传媒科技(北京)有限公司 | For the method for search, system, medium and electronic equipment |
| CN110750706B (en) * | 2018-07-19 | 2023-04-28 | 阿里巴巴集团控股有限公司 | Search hotword determining method, device and system and electronic equipment |
| CN110889030A (en) * | 2018-09-06 | 2020-03-17 | 北京奇元科技有限公司 | Method and device for recommending content |
| CN110955819B (en) * | 2018-09-21 | 2024-06-07 | 北京字节跳动网络技术有限公司 | Recommended content display method, generation method, display device and generation device |
| CN109582866A (en) * | 2018-11-23 | 2019-04-05 | 北京字节跳动网络技术有限公司 | Display methods, device, storage medium and the electronic equipment of personalized recommendation word |
| CN110532428A (en) * | 2019-09-02 | 2019-12-03 | 广州华多网络科技有限公司 | Hot word configuration method, device, equipment and storage medium |
| CN110941766B (en) * | 2019-12-10 | 2023-10-20 | 北京字节跳动网络技术有限公司 | Information pushing method, device, computer equipment and storage medium |
| CN113010766B (en) * | 2019-12-18 | 2023-08-18 | 腾讯科技(深圳)有限公司 | Information searching method, device and storage medium |
| CN111125344B (en) * | 2019-12-23 | 2023-09-05 | 新方正控股发展有限责任公司 | Related word recommendation method and device |
| CN111368025B (en) * | 2020-02-24 | 2023-12-22 | 百度在线网络技术(北京)有限公司 | Hot word recommendation method and equipment for intelligent voice equipment and storage medium |
| CN113297468B (en) * | 2020-07-30 | 2024-09-20 | 阿里巴巴集团控股有限公司 | Information display, recommendation and processing method, information recommendation system and electronic equipment |
| CN113111286B (en) * | 2021-05-12 | 2023-07-18 | 抖音视界有限公司 | Information display method and device and computer storage medium |
| CN113822708B (en) * | 2021-09-14 | 2024-03-08 | 每日互动股份有限公司 | Method, device, equipment and storage medium for processing notification information |
| CN115757923B (en) * | 2023-01-09 | 2023-05-23 | 北京创新乐知网络技术有限公司 | Method and device for determining search hotword, computer equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101923544A (en) * | 2009-06-15 | 2010-12-22 | 北京百分通联传媒技术有限公司 | Method for monitoring and displaying Internet hot spots |
| CN102163198A (en) * | 2010-02-24 | 2011-08-24 | 北京搜狗科技发展有限公司 | A method and a system for providing new or popular terms |
| CN102891874A (en) * | 2011-07-21 | 2013-01-23 | 腾讯科技(深圳)有限公司 | Method, device and system for providing search prompt message based on conversation |
| CN103678298A (en) * | 2012-08-30 | 2014-03-26 | 腾讯科技(深圳)有限公司 | Information display method and device |
| CN104252470A (en) * | 2013-06-26 | 2014-12-31 | 重庆新媒农信科技有限公司 | Recommendation method and recommendation system of hot word |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110208738A1 (en) * | 2010-02-23 | 2011-08-25 | Kenshoo Ltd. | Method for Determining an Enhanced Value to Keywords Having Sparse Data |
| US9552422B2 (en) * | 2010-06-11 | 2017-01-24 | Doat Media Ltd. | System and method for detecting a search intent |
| CN103198072B (en) * | 2012-01-06 | 2018-11-13 | 深圳市世纪光速信息技术有限公司 | Method and device is recommended in a kind of excavation of popular search word |
| CN103902678A (en) * | 2014-03-21 | 2014-07-02 | 百度在线网络技术(北京)有限公司 | Search recommendation method and device |
| CN103914554A (en) * | 2014-04-14 | 2014-07-09 | 百度在线网络技术(北京)有限公司 | Search recommendation method and search recommendation device |
| CN104035958B (en) * | 2014-04-14 | 2018-01-19 | 百度在线网络技术(北京)有限公司 | Searching method and search engine |
| CN104063433A (en) * | 2014-06-10 | 2014-09-24 | 百度在线网络技术(北京)有限公司 | Method and device for displaying recommended contents |
| CN104572846B (en) * | 2014-12-12 | 2018-10-16 | 百度在线网络技术(北京)有限公司 | A kind of hot word recommendation methods, devices and systems |
-
2014
- 2014-12-12 CN CN201410773140.2A patent/CN104572846B/en active Active
-
2015
- 2015-11-12 WO PCT/CN2015/094393 patent/WO2016091044A1/en not_active Ceased
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101923544A (en) * | 2009-06-15 | 2010-12-22 | 北京百分通联传媒技术有限公司 | Method for monitoring and displaying Internet hot spots |
| CN102163198A (en) * | 2010-02-24 | 2011-08-24 | 北京搜狗科技发展有限公司 | A method and a system for providing new or popular terms |
| CN102891874A (en) * | 2011-07-21 | 2013-01-23 | 腾讯科技(深圳)有限公司 | Method, device and system for providing search prompt message based on conversation |
| CN103678298A (en) * | 2012-08-30 | 2014-03-26 | 腾讯科技(深圳)有限公司 | Information display method and device |
| CN104252470A (en) * | 2013-06-26 | 2014-12-31 | 重庆新媒农信科技有限公司 | Recommendation method and recommendation system of hot word |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2016091044A1 (en) | 2016-06-16 |
| CN104572846A (en) | 2015-04-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104572846B (en) | A kind of hot word recommendation methods, devices and systems | |
| JP5593352B2 (en) | Information providing apparatus, information providing method, and information providing program | |
| US9607010B1 (en) | Techniques for shape-based search of content | |
| US20170289643A1 (en) | Method of displaying advertising during a video pause | |
| US20140095308A1 (en) | Advertisement distribution apparatus and advertisement distribution method | |
| US20150363499A1 (en) | Search based on combining user relationship datauser relationship data | |
| US10699315B2 (en) | Method and computer program for displaying search information | |
| CN109168047B (en) | Video recommendation method and device, server and storage medium | |
| CN106682144A (en) | Page display method and device | |
| CN114117155B (en) | Product object information search method and electronic device | |
| CN105589852B (en) | A kind of method and apparatus of information recommendation | |
| US9785654B2 (en) | Method of e-commerce | |
| US20190325497A1 (en) | Server apparatus, terminal apparatus, and information processing method | |
| US20170287041A1 (en) | Information processing apparatus, information processing method, and information processing program | |
| CN107622074A (en) | A kind of data processing method, device and computing device | |
| JP2010146188A (en) | Voice advertisement distribution device, voice advertisement distribution system, and voice advertisement distribution method | |
| CN104102328B (en) | Information processing method and information processing device | |
| US20140214541A1 (en) | Method and system for user-controlled rendering of mobile advertisements | |
| US10037550B2 (en) | System and method for identifying offline consumer interests for online personalization by leveraging multimedia inputs | |
| JP6205700B2 (en) | Information providing system, apparatus for receiving provided information, apparatus for transmitting provided information, program, and information providing method | |
| JP2010200170A (en) | Image information providing system, image information providing method, and image information providing program | |
| KR20200024536A (en) | Method of providing of image searching result and service device thereof | |
| JP2015106351A (en) | Content distribution device and free word recommendation method | |
| JP5248376B2 (en) | Information distribution apparatus and information distribution method | |
| JP6139617B2 (en) | Information providing system, information providing server, information providing method, and program for information providing system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |