KR100806698B1 - How to save content database reflecting user usage history - Google Patents

Abstract

A method for storing data in a contents database reflecting a use log of a user is provided to update the contents database by processing various contents use logs of the user into statistics data and extract the statistics data needed for real-time search by structurally updating/storing various use logs. A user ID is received from a user terminal and user information is extracted from a user database based on the received user ID. The contents use log of a user is received from the user terminal and is stored by matching the received contents use log with the extracted user information. The use log is processed into the statistics data by using the information ontology for defining relation among words forming an action log and an estimation log of the user, and extending semantic information inferred from each word. A location of the contents database to store the statistics data is determined(S53). The new statistics data is generated by using the statistics data stored in a determined contents database area and the processed statistics data(S57). The new statistics data is updated to the determined location of the contents database(S59).

Description

Method for storing content database reflecting use-log of user}

1 is a flowchart illustrating a content search method using a conventional search engine.

2 is a flowchart illustrating a method of storing a limited usage history of a user in a retrieval method using a user's usage history for content.

3 illustrates a content search system according to an embodiment of the present invention.

4 is a flowchart illustrating a method of storing a user's usage history in a user terminal and transmitting the user's usage history to a search server according to an embodiment of the present invention.

5 is a flowchart illustrating a method of storing a content database according to an embodiment of the present invention.

6 is a flowchart illustrating in more detail a step of receiving a user's usage history from a user terminal according to an embodiment of the present invention.

7 is a flowchart illustrating in more detail a step of storing processed statistical data in a content database according to an embodiment of the present invention.

8 shows an example of various statistical data for music contents' A ',' B ',' C ', D', 'E', 'F', 'G', and 'H'.

Description of the main parts of the drawing

1: user terminal 2: web server

3: network 10: search server

11: client part 12: information collecting part

13: Database 14: Log Processing Unit

15: storage control unit 16: search control unit

The present invention relates to a method of structured storage of a content database, and more particularly, to a method of constructing and storing a content database using statistical data processed by processing user's history of content using information ontology.

Currently, the Internet is spread to the public around the world, and users obtain and use various information from the Internet. But too much information is stored on the Internet. A user uses a search engine provided by an Internet portal site to easily obtain the information he needs from a large amount of information.

1 is a flowchart illustrating a content search method using a conventional search engine. Referring to FIG. 1, a search word or a search word combination of a user is input through a user terminal (step 1). Depending on the user's search term or search term combination, the search engine searches for content that includes the search term entered by the user in the body or metadata of the content, and compares the search term or query combination with the body or metadata of the searched content. The similarity is calculated (step 2). Based on the calculated similarity, content having a similarity above a threshold is recommended to the user (step 3).

In general, a search engine provided by an Internet portal site searches only contents in which one or more search terms entered by a user are included in a body or metadata. Therefore, in order to obtain a content suitable for his or her search intention among a large amount of contents, the user must select a search word correctly. However, for users who are not familiar with the Internet or unskilled in searching for content through search engines, the selection of search terms is not so easy, and it takes a lot of time and effort to obtain content suitable for one's intention.

In order to overcome the problems of the conventional method of searching for contents based on a search term, an Internet portal site has recently pre- dictionaryed words related to a user's search term to search all contents including the words related to the user's search term or the user. Predicts a search term to enter in order to search for content and attaches it to the meta information of the content to help the user search for the content.

However, the method of searching contents using the lexical dictionary also helps the user to select the search terms, but cannot sufficiently reflect the complexity of the search intentions and the contents that are constantly changing. In addition, even when the content provider searches for the content by inserting a keyword in the content in advance, there is a problem in that the search result varies according to the intention of the content provider, so that the content provider searches for the content provider rather than the user.

In order to search the content more faithfully reflecting the user's search intention, a search method using the user's usage history of the content has been proposed.

2 is a flowchart illustrating a method of storing a usage history of content in a search method using a user's usage history for the content. Referring to FIG. 2, when the user terminal accesses the search engine, the user extracts static information such as the user's age, occupation, and propensity (step 10). The usage history of the user is determined by collecting data of content that is viewed or purchased by the user among the contents searched / recommended through the search engine (step 15). The extracted static information of the user and the usage history of the user are stored in the content database (step 18).

In the related art, a search method using a user's usage history searches for a content more suitable for the user's intention based on a content database storing the user's static information and the user's inquiry / purchase pattern and recommends it to the user. For example, based on the extracted user's static information, users can recommend the user's preferred content with similar static information to the user, or extract other content that is viewed / purchased together when searching / purchasing specific content from the user's history. Recommends other content to the user when viewing / purchasing specific content.

However, the conventional search method based on the usage history of the user recommends similar content by using only the user's static information or other content with the same weight based on the search / purchase pattern. The problem is that it cannot be reflected.

Accordingly, an object of the present invention is to provide a database of contents by processing various usage history of the user into statistical data, such as when, where and why the user uses a specific content, how is the reaction after use, and what is the subject of the content. Provides a way to update it.

It is an object of the present invention to provide a method of structurally updating and storing various usage history of a user so as to extract statistical data necessary for searching in real time.

The structured storage method of the content database according to an embodiment of the present invention for achieving the object of the present invention comprises the steps of receiving a user's usage history for the content from the user terminal, the user's usage history received using the information ontology Processing the statistical data updated in the content database and updating the processed statistical data in the content database.

Here, the user's usage history is the user's behavior log and the evaluation log for the content, the user's behavior log is at least one of the time of use, the location of the content, and the usage situation. , At least one of the number of times of use.

Hereinafter, a structured storage method of a content database according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

3 illustrates a content search system according to an embodiment of the present invention.

Referring to FIG. 3, a user terminal 1 and a web server 2 are connected to a wired / wireless internet network 3. The user terminal 1 may access the search server 10 through a wired / wireless internet network 3 such as a desktop personal computer, a mobile phone, a portable terminal (PDA), etc. and receive content provided by the search server 10. To use the terminal generically.

The search server 10 includes a client unit 11, an information collecting unit 12, a database 13, a log processing unit 14, a storage control unit 15, and a search control unit 16.

The client unit 11 provides a user interface to the user terminal 1 and manages a user's usage history of the user's static information and content input through the user interface. The log processing unit 14 processes the usage history of the received user using the information ontology into statistical data updated in the database 13. The user's usage history includes the user's behavior log and the evaluation log for the content. An information ontology means an ontology that is referred to to define a relationship between each word constituting a user's behavior log and an evaluation log and to extend semantic information deduced from each word. For example, time-related ontology such as day / night, am / pm, day of the week, month, season, year, vacation, holiday, holiday, etc., place-related ontology such as country, city, mountain, beach, amusement park, travel, work Information ontologies are used for situations such as business trips, business trips, honeymoons, and dating.

The storage control unit 15 generates the new statistical data by reflecting the processed statistical data in the statistical data stored in the database 13 and updates the generated new statistical data in the content database 13. The database 13 includes a user database for storing static information of a user, a usage database for storing a user's usage history for content, and a content database for storing statistical data of the content.

Preferably, in the content database, statistical data of various contents processed from user usage history is structured and stored in a multi-dimensional manner.

When the user search term is input through the client unit 11, the search engine unit 15 may include a user's search term, 1) static information of the user, 2) a time when a search term is input, a user's search intention, a search place, 3) Similarity of the content mapped to the user's search term is calculated using the dynamic information of and the statistical data of the content stored in the content database. According to the similarity of the calculated content, the content having a similarity or higher than a predetermined threshold value is searched and provided to the user terminal 1 through the client unit 11.

The user may attach an action log or an evaluation log to content provided from the search server 10 through a user interface displayed on the user terminal 1, and the attached action log and evaluation log may be stored in the user terminal 1. After the reconnection with the search server 10 is sent to the search server 10.

4 is a flowchart illustrating a method of storing a user's usage history in the user terminal 1 and transmitting the user's usage history to the search server 10 according to an embodiment of the present invention.

Referring to FIG. 4, the user terminal 1 executes the content provided by the search server 10 (step 20), and stores the user's evaluation log for the executed content (step 22). The user's evaluation log means user's evaluation data about the content. The user can assign or write an evaluation score, reply, or tag for the content executed through the user interface. Preferably, the evaluation scores, replies, and tags for the content may be given or written through icons provided through the user interface. The created evaluation log of the user is stored in the memory of the user terminal 1.

On the other hand, the user's behavior log for the executed content is stored (step 24). The user's behavior log is data indicating the user's behavior history of the content, such as the time, place, and situation at which the user executes the content. The user terminal 1 automatically stores, in the memory of the user terminal 1, an execution log of execution time, execution place, and execution status whenever the user executes the content. Preferably, the situation of executing the content may be directly input by the user through an icon provided through the user interface.

When reconnecting to the search server 10 through the user terminal 1, the user terminal 1 performs a synchronization process with the search server 10 to access the search server 10 (step 26), and in the synchronization process If the user's behavior log or the user's evaluation log is stored in the user terminal 1, the user behavior log and the evaluation log stored in the search server 10 are transmitted (step 28).

5 is a flowchart illustrating a method of storing a content database according to an embodiment of the present invention.

Referring to FIG. 5, when the user terminal 1 is connected, an evaluation log and an action log of the user are received from the user terminal 1 (step 30), and the received evaluation log and the action log of the user are stored in a content database. Process into statistical data (step 33). Since the user's usage history stored in the received evaluation log and behavior log is raw raw data, it is processed into statistical data.

For example, if the execution time of the content 'A' is AM 09:23 and is executed at a latitude 36 degrees / longitude 45 degrees, the execution time is processed into time statistical data in the morning using a time-related ontology, and the executed position is executed. The place is searched and the search place is processed into place statistics data such as beach / mountain / island using place-related ontology.

Also, for example, when a rating score of content input from a user is input, an icon mapped to a situation in which the user's preference for the content is processed into maximum / medium / minimum affinity statistical data according to the preference classification criteria or the content is executed. The data is processed into situation statistical data in which the content is executed.

The processed statistical data is assigned a classification identifier for classifying the processed statistical data according to the type of statistical data (step 35), and the statistical data stored at the position corresponding to the assigned classification identifier and the processed statistical data are allocated. Generate new statistical data and update the generated statistical data in the content database (step 37). The data of the various usage history included in the user's behavior log or the evaluation log are divided into different identifiers. When generating statistical data from the user's behavior log or the evaluation log, the data attached to the user's behavior log or evaluation log Different classification identifiers are assigned to the generated statistical data.

6 is a flowchart illustrating in more detail a step of receiving a user's usage history from the user terminal 1 according to an embodiment of the present invention.

Referring to FIG. 6, a user ID is received from the user terminal 1 (step 40), and static information of the user stored in the user database is extracted based on the received user ID (step 43). In the process of synchronizing the user terminal 1 with the search server 10, the user terminal 1 searches for a new usage history that is not stored in the user's usage database, and if a new usage history is retrieved, The usage history of the new user is received (step 45), and the usage history of the received user is stored in the usage history database (step 47). When storing the received usage history of the new user in the usage history database, the static information of the extracted user and the usage history of the new user are stored to be mapped to each other.

7 is a flowchart illustrating in more detail a step of storing processed statistical data in a content database according to an embodiment of the present invention.

Referring to FIG. 7, the identification classifier is extracted from the processed statistical data (step 51), and the position of the content database to update the processed statistical data is determined based on the extracted identification classifier (step 53). Statistical data stored at the determined content database location is extracted (step 55), and new statistical data is generated by reflecting the processed statistical data in the extracted statistical data (step 57). The generated new statistical data is updated to the determined location of the content database (step 59).

Various processed statistical data are generated from the user's behavior log and the evaluation log, and the generated statistical data is structured and stored in different areas (multi-dimensional).

8 shows an example of various statistical data for music contents' A ',' B ',' C ', D', 'E', 'F', 'G', and 'H'.

Referring to FIG. 8 (a), the hourly preferences for the music contents' A ',' B ',' C ', D', 'E', 'F', 'G', and 'H' and Seoul, Gyeonggi, Statistical data on regional preferences such as Busan is structurally stored.

Referring to FIG. 8 (b), the hourly preferences for the music contents' A ',' B ',' C ', D', 'E', 'F', 'G', and 'H', birthday, travel, Statistical data on preferences by travel situation, such as business trips, are stored in a structured way.

Referring to FIG. 8 (c), the hourly preferences for the music contents' A ',' B ',' C ', D', 'E', 'F', 'G', and 'H' are shown in teenagers and 20s. Statistical data on preferences by age, such as teens and thirties, are structurally stored.

Referring to FIG. 8 (d), the hourly preferences for the music contents' A ',' B ',' C ', D', 'E', 'F', 'G', and 'H', as well as spring, summer, Statistical data on seasonal preferences for autumn and winter are structurally stored.

Meanwhile, the above-described embodiments of the present invention can be written as a program that can be executed in a computer, and can be implemented in a general-purpose digital computer that operates the program using a computer-readable recording medium.

The computer-readable recording medium may be a magnetic storage medium (for example, a ROM, a floppy disk, a hard disk, etc.), an optical reading medium (for example, a CD-ROM, DVD, etc.) and a carrier wave (for example, the Internet). Storage medium).

Although the present invention has been described with reference to the embodiments shown in the drawings, this is merely exemplary, and it will be understood by those skilled in the art that various modifications and equivalent other embodiments are possible. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

The method of storing a content database according to the present invention structurally stores statistical data of various usage histories from a user's behavior log and an evaluation log, thereby helping to search for content more faithful to the user's search intention when searching for content. .

Claims (7)

(a) receiving a user's usage history including a user's behavior log and an evaluation log for the content from the user terminal; (b) processing the received user's usage history into statistical data using an information ontology for defining the relationship between each word constituting the user's behavior log and the evaluation log and extending the semantic information deduced from each word Doing; And (c) updating the processed statistical data in a database of contents. The method of claim 1, wherein step (a) Receiving a user ID from the user terminal; Extracting user information from a user database based on the received user ID; Receiving a user's usage history of content from the user terminal; And And storing the received usage history by mapping the extracted user information to the extracted user information. delete The method of claim 2, wherein the user's activity log is And at least one of a use time, a use location, and a use situation of the content. The method of claim 2, wherein the user's evaluation log is And at least one of an evaluation score, a reply, a tag, and the number of times of use of the content. The method of claim 2, wherein step (c) Determining a location of a content database in which the processed statistical data is to be stored; Generating new statistical data using the statistical data stored in the determined content database area and the processed statistical data; And Updating the generated new statistical data to the determined location of the content database. The method of claim 6, wherein the processed statistical data is A classification identifier for classifying the processed statistical data is assigned according to the type of statistical data, The area of the content database in which the processed statistical data is stored is determined by the classification identifier.

Images