KR100928042B1 - Method and device for providing customized content using metadata tag - Google Patents

Abstract

The present invention relates to a method and a device for providing customized content using a metadata tag. More specifically, the present invention relates to a personal Internet site, such as a blog of a subscriber who has subscribed to an Internet service, and a type of metadata from a site of another person connected by a link to the site. The present invention relates to a method and apparatus for providing personalized content according to an individual's taste by extracting an IN tag and extracting a region of interest of an individual by applying a weight based on a predetermined criterion.

The method for providing customized content using the metadata tag according to the present invention includes the following steps.

In step (a), the basic user information and the personal homepage information of the subscriber are input. In step (b), the metadata tag is extracted from each user's homepage and / or each post posted on the homepage. In the step (c), the extracted tag is classified according to a predetermined tag classification, and the importance weight, number of neighbors, and contents belonging to tags by other users are proportional to the number of times extracted from the user's homepage for each tag classification. The degree of interest of the user is calculated using the content popularity degree determined by at least one of the number of views and the number of recommendations as a variable. In step (d), contents corresponding to a tag classification having high user interest are first provided to the user according to the calculated user's interest.

Furthermore, the method for providing customized content using the metadata tag according to the present invention may further include the following steps.

In (c1), the interests of neighbors having a neighbor relationship with the user are calculated in the same manner as in step (c), and the average value divided by the total number of neighbors is added to be reflected in the interest calculated by step (c) as a percentage.

The present invention can extract information related to a person's interests and the like from a personal blog or similar personal web page. In addition, the present invention can provide a content suitable for individuals by making the extracted data into a database.

That is, the present invention has the effect of automatically providing content as close to the field of interest of the individual as possible, compared to the conventional method, by extracting the interest of the individual in a reliable manner and providing customized content accordingly.

Description

Customized method of providing content using metadata tag and apparatus thereof

The present invention relates to a method and a device for providing customized content using a metadata tag. More specifically, the present invention relates to a personal Internet site, such as a blog of a subscriber who has subscribed to an Internet service, and a type of metadata from a site of another person connected by a link to the site. The present invention relates to a method and apparatus for providing personalized content according to an individual's taste by extracting an IN tag and extracting a region of interest of an individual by applying a weight based on a predetermined criterion.

Recently, a number of technologies have been developed to enable web surfing by accessing the Internet through a computer or a personal portable terminal, and related social infrastructures have been rapidly spreading. That is, there is a method of using various Internet services provided by various Internet service providers (ISPs) through personal computers (PCs), personal digital assistants (PDAs), mobile phones, and the like.

In the case of using the Internet, it is important to provide personalized Internet service, that is, information suited to the tastes and interests of the individual, from the beginning, in order to increase user convenience and save Internet fees.

An example of such technology is Korean Patent Application No. 10-2004-0075156, "Method and System for Providing Customized Content" (hereinafter referred to as "prior art").

The prior art relates to a method and system for providing customized content,

In the system for registering the interest information about the desired content to be provided by the content user to search for desired content that matches the interest information from the registered content to inform the content user,

A mobile communication terminal provided with the desired content that matches the interest information including at least one of a classification of the desired content, a name of the desired content, a desired content provider name, a desired content size, and a desired content data type; A mobile communication network for transmitting and receiving data to and from the mobile communication terminal wirelessly; A content providing server providing desired content to a mobile communication terminal; Indexing content information including at least one of words included in registered content registered in a content providing server, meta information of registered content, type of registered content, data type of registered content, and an address of a registered content providing server. A content index server that stores the database-indexed content index; An interest information registration server for databaseing the interest information and the personal information received from the mobile communication terminal; And matching the interest information of the interest information registration server with the content index of the content index server to find desired content that matches the interest information, and to retrieve the interest information search result, which is information about the desired content, through the mobile communication network. It provides a customized content providing system comprising a server for searching for information of interest to transmit.

That is, in addition to the prior art, in the related art, contents related to the field of interest are provided based on information registered directly by the user, such as the field of interest and classification registered by the content user. However, in recent years, as users subscribe to a very diverse and large number of Internet services, it is rare to write a lot of relevant information that should be written in the registration process. Therefore, the effectiveness of providing customized services based on such low reliability information is increasingly questioned.

On the contrary, in recent years, blogs or similar personal homepages have become widespread so as to be a social issue, and accordingly, more and more individuals decorate and personally manage these personal Internet pages for personal PR. The information written on these personal web pages shows a very high level of reliability, unlike other subscription information, which is usually habitual and repetitive and unintentional when signing up for Internet services, and thus provides personalized contents using such information. There is a need to develop methods.

From the above problems or needs,

An object of the present invention is to provide a means for extracting personal interests from a personal blog or similar personal web page.

In addition, an object of the present invention is to provide a means for providing a database suitable for individuals by extracting the extracted data.

In order to achieve the above technical problem,

The method for providing customized content using the metadata tag according to the present invention includes the following steps.

In step (a), the basic user information and the personal homepage information of the subscriber are input. In step (b), the metadata tag is extracted from each user's homepage and / or each post posted on the homepage. In the step (c), the extracted tag is classified according to a predetermined tag classification, and the importance weight, number of neighbors, and contents belonging to tags by other users are proportional to the number of times extracted from the user's homepage for each tag classification. The degree of interest of the user is calculated using the content popularity degree determined by at least one of the number of views and the number of recommendations as a variable. In step (d), contents corresponding to a tag classification having high user interest are first provided to the user according to the calculated user's interest.

Furthermore, the method for providing customized content using the metadata tag according to the present invention may further include the following steps.

In (c1), the interests of neighbors having a neighbor relationship with the user are calculated in the same manner as in step (c), and the average value divided by the total number of neighbors is added to be reflected in the interest calculated by step (c) as a percentage.

On the other hand, the computer-readable recording medium that records the tag and weight data structure for providing customized content using the metadata tag according to the present invention is a tag classification field, a neighbor field, a popularity field, a user neighbor field, importance And a weight field and a content popularity field.

The tag classification field indicates a classification to which each tag belongs to a tag that is expected to be extracted. Set the weight proportional to the number of neighbors in the neighbor field. The popularity field sets a numerical value proportional to the degree of popularity determined by any one of the number of views and recommendations of the content.

The user's neighbor field corresponds to each user, and the neighbor according to the number of neighbors of each user is stored with reference to the user's neighbor field. The weight weight field corresponds to a tag classification to which each user and each content belong, and a weight calculated to be proportional to the number of times the content is extracted from the user's homepage. The content popularity field corresponds to a tag classification to which each user and each content belongs, and stores the popularity of the content posted in the homepage of the user with reference to the popularity field.

From the structural features mentioned above,

The present invention can extract information related to a person's interests and the like from a personal blog or similar personal web page.

In addition, the present invention can provide a content suitable for individuals by making the extracted data into a database.

That is, the present invention has the effect of automatically providing content as close to the field of interest of the individual as possible, compared to the conventional method, by extracting the interest of the individual in a reliable manner and providing customized content accordingly.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.

First, the term 'tag' will be described.

Whereas existing meta tags could only be used to write metadata for web pages written in HTML and simply retrieve web documents, the recent trend of the new web has been to standardize on all kinds of data on the Internet, including multimedia. Emphasis is placed on creating a structure in which various types of data can be combined or interworked with computer-relevant relationships based on metadata.

That is, a tag means that the person who created and updated the data summarizes what the data is in a few words, so that the computer can use this word to properly classify and search for complex data. This tag is also a kind of metadata. For example, a tag is attached to a personal homepage such as a blog or a mini homepage that is a social issue in recent years, so that users can view it.

Hereinafter, throughout the specification, a tag refers to metadata that summarizes the content of data for each data so that a computer can process it.

A network environment for the present embodiment will be described with reference to FIG. 1.

The network environment for the present embodiment is composed of a main server 10, a network 20, a personal home page server 30 and a user terminal 40. At this time, the network 20 refers to a network in a broad sense irrespective of the type of an ISP (internet service provider).

2, the main server 10 according to the present embodiment will be described.

The main server 10 according to the present embodiment includes a reference database 11, a user database 12, and a content database 13.

First, the reference database 11 is composed of a tag classification field, a neighbor field and a popularity field.

The tag classification field refers to a tag that is expected to be extracted from a user's personal homepage and a classification to which each tag belongs, as shown in [Reference 1] below.

[Reference Figure 1]

tag Classification movie movie Doodle Drawing Song music … … OST music … …

The neighbor field is set to a weight proportional to the neighbor number, as shown in [Reference Figure 2] below. In other words, if the number of neighbors is 80 for a user, the corresponding neighbor degree is 1. However, the criterion for dividing each weight and the neighbor number is not decisive, and the number may change depending on which part is weighted in calculating the final interest of the user.

[Reference Figure 2]

Neighbors Neighbor 100 or more 2 76-100 One 56-75 0.9 46 to 55 0.8 26 to 45 0.7 10 to 25 0.6 10 or less 0.5

As shown in [reference 3] below, the popularity field is a preset value of the popularity determined by any one of the number of views and the number of recommendations of each content, that is, a weight proportional to the number of views and / or recommendations of the corresponding content. For example, if the number of views of the content is 580, the popularity of the content is 1. This popularity is also not a definite figure like the above-mentioned neighbors, and may vary depending on which part to focus for the final calculation interest.

[Reference Figure 3]

Viewed, recommended Popularity More than 10000 3 More than 1000 2 100 or more One Less than 10 0.5

The user database 12 is described below.

The user database 12 includes a user basic information field, a user neighbor field, a weight weight field, and a content popularity field for each user.

The basic user information field stores information related to basic personal information about the user and information about the user's personal homepage.

In the user neighbor field, the corresponding weight is calculated and stored from the neighbor field on the reference database based on the number of others who have a certain relationship on the homepage. Here, a certain relationship means that a personal homepage is connected to other people's homepages in various forms, such as 'making friends', 'gathering neighbors' or 'building villages'. Since the personal homepages of others linked in a certain relationship are not linked by coercion or coincidence, but are usually linked with others related to the person's acquaintance or interests, extracting a tag from the personal homepage of another person is also concerned with personal interest. It is meant to grasp. These user neighbors are calculated and stored for each user individually.

In the importance weight field, the weight is determined according to the tag exposure frequency searched by the classification to which the corresponding tag belongs in the user's homepage, that is, the exposure frequency for each category of content. The importance weighting value can be calculated as in the following equation (1).

… 식(1)

… Formula (1)

In the content popularity field, the popularity of each content posted on each user's homepage is numerically calculated and stored. Popularity is calculated by referring to the popularity field of the reference database based on the number of recommendations and / or views of the content.

The content database is a place for storing content for providing to users, and there is no difference compared to the conventional method. The content database is a database for storing content to be provided to the user, and includes content that is continuously added and changed.

A user terminal 40 and a personal homepage server 30 will be described with reference to FIG. 1.

The user terminal 40 is a general term for a terminal used by a user to receive content, and is a concept for a mobile phone, a PDA, and a general computer system.

The personal homepage server 30 refers to a server in which a homepage of another person connected in a certain relationship with a user's personal homepage or a user's personal homepage is stored. The main server 10 is to extract the tag from the personal home page server 30.

Hereinafter, the operation to the process according to the present embodiment will be described with reference to FIGS. 2 and 3.

The process according to the present embodiment includes a reference determination step (S20), a user subscription step (S30), a tag extraction step (S40), an interest calculation step (S50), and a content providing step (S60).

As the first step (S20), to set the reference database, the weight field, the neighbor field and the popularity field is set. The weight given to each of them is not determined decisively but can be determined to suit the weight of each element.

In the second step (S30), the user will receive a subscription. In the step of receiving user registration, the basic user information field including information about the homepage is created.

In the third step S40, a tag is extracted from the homepage of each user for the subscribed users.

In a fourth step S50, the degree of interest for each user is calculated. A method of calculating the degree of interest is described below with an example.

First, in order to calculate interest of each user, it is assumed that the number of users A's 50 people and the total number of views of the contents corresponding to the cooking of the classification tag are 200 times. Assume that

[Reference Figure 4]

tag Field tags Anchovy Cooking potato Cooking vegetable Cooking fried food Cooking Cooking Cooking food life side dish life nutrition health

At this time, the total number of extracted tags is 8, and the extracted classification tag dishes are extracted 5 times, so the weight of importance is as follows.

Importance Weight (User A, Cooking) = 5/8 × 100 = 62.5

User A's user neighbors have 50 neighbors, which are calculated from the neighbor fields of the reference database (see also Figure 2).

User neighbor (user A) = 0.8

Content popularity is 200 views of the classification tag dishes posted in the user A's homepage, which is calculated from the popularity field of [Reference 3] as follows.

Content popularity (user A, cooking) = 1

The interest level in this embodiment is calculated by combining interests of user A and neighbors having a certain relationship with user A on the homepage. At this time, user A's interest is called subjective interest and the average value of neighbors' interest is called interest.

The degree of interest is calculated according to the following equation.

Interest (User A, Cooking) = X × Attention + Y × Attention

In this case, X and Y are ratios of allocating weights to subjective interest and interest. In this embodiment, X is calculated assuming 0.3 Y is 0.7.

On the other hand, subjectivity and interest are calculated according to the following equation.

Subjectivity (cooking) = importance weight (user A, cooking) × neighbors (user A) × content popularity (user A, cooking)

Attention (cooking) means the average value of all neighbors' subjective (cooking) values divided by the number of neighbors.

Accordingly, the subjective interests and the interests are calculated as follows.

Subjectivity = 62.5 × 0.8 × 1 = 50

Attention is assumed to be 60 for convenience of calculation.

User A's interest in cooking

0.3 * subjectivity + 0.7 * interest = 0.3 * 50 + 0.7 * 60 = 57.

In a fifth step S60, the content is provided to the user A. The content of high interest calculated in the interest calculation step S50 described above is first provided to the user A.

Although the preferred embodiments of the present invention have been described above, the technical spirit of the present invention is not limited to the above-described preferred embodiments, and various metadata tags may be used in a range that does not depart from the technical spirit of the present invention specified in the claims. It can be implemented by using a method and a device for providing customized content.

1 is a schematic diagram schematically showing an implementation environment of the present invention.

2 is a block diagram schematically showing the configuration of the present invention.

3 is a flow chart showing a process according to the present invention.

<Description of the symbols for the main parts of the drawings>

10: Main Server 11: Reference Database

12: user database 30: personal homepage server

40: user terminal

Claims (3)

       Main server (10). It consists of a network 20, personal home page server 30 and the user terminal 40, and operates,        The operation of the main server 10 is (a) receiving basic user information and personal homepage information of a subscriber; (b) extracting a metadata tag from the user's homepage or each post posted on the homepage; (c) at least any one of the number of times extracted from the user's homepage, the number of neighbors, and the number of views and recommendation of contents to which the tag belongs by other users by classifying the extracted tag according to a predetermined tag classification; Calculating a degree of interest of the user based on the content popularity determined by the variable; And (d) providing the user with contents corresponding to a tag classification from the highest priority to the predetermined priority according to the calculated interest of the user to the user, including: (c1) calculating interests of neighbors having a neighboring relationship with the user in the same manner as in step (c), and adding the average value divided by the total number of neighbors to be reflected in the interest calculated by the step (c) as a percentage; Custom content providing method using a metadata tag further comprising. delete A tag classification field indicating a classification to which each tag belongs to a tag that is expected to be extracted; A neighbor field set to a weight proportional to the neighbor number; A popularity field for setting a numerical value proportional to the degree of popularity determined by any one of the number of views and recommendation of the content; A user neighbor field corresponding to each user and storing a neighbor value according to the neighbor number of each user with reference to the neighbor field; An importance weight field corresponding to a tag classification to which each user and each content belongs, and storing a weight calculated to be proportional to the number of times the content is extracted in the user's homepage; And A content popularity field corresponding to a tag classification to which each user and each content belongs, and storing the popularity of the content posted in the homepage of the user with reference to the popularity field; Computer-readable recording medium that records tag and weight data structures.

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