JP2007328706A - Method, server, and program for transmitting additional information data - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method of determining user's preference from the selection history of an item related to the character (avatar) displayed on a Web page, and transmitting related additional information (advertisement) data to a terminal. <P>SOLUTION: A server 10 extracts the history of item attribute data from an item table storing item attribute data of the item for constituting a part of the character data and a coordination history table storing item ID data of the item selected by a user in the past, analyzes the feature with reference to a concept dictionary table, and extracts the additional information data related with a keyword having high relevancy with the generated feature data and transmits it to a terminal 20. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a method, a server, and a program for transmitting additional information data. In particular, the present invention relates to a method, a server, and a program for transmitting additional information data to a terminal connected to a communication network.

  With the spread of the Internet to the society, not only passive users who browse information on the network, search, or purchase products, but also users themselves as information senders on the Web The number of users who take active actions such as publishing a simple diary (so-called blog) or forming a community with people with similar preferences is rapidly increasing.

  In particular, the background of the rapid spread of blogs over the past few years is thought to be largely due to the contribution made by blog editors, which even beginners of the Internet can easily register and send texts and photos on their homepages.

  And the spread of such blogs to society is another one in which the society on the network (so-called network community) that was not considered in the era when the information was browsed simply by the terminal that can be connected to the communication network is different from the actual society. It has emerged and shows that it is developing rapidly.

  Under such circumstances, an increasing number of users utilize “avatars” as symbols representing the users themselves on the network. An avatar that means “another” is a so-called character that is specifically represented by image data, video data, audio data, etc., but expresses itself in a network community that exists separately from the real society, In various activities such as interacting with, sympathizing with and discussing with other users, and expanding friendships that are similar to each other, it has increased its significance as a pseudo-acting subject.

  Specifically, for example, when publishing a blog, by using an avatar in the screen, the user can be intuitively expressed by character data separately from the document written by the user. Viewers can feel as if their alternation exists on the network, and can strongly support communication in the network community.

  In fact, coordinating items such as the avatar's hairstyle, clothes, accessories, accessories, and backgrounds is one of the important activities in the network community to appeal to users' senses and preferences. For this reason, the user purchases such an item for a fee or presents it to a friend, and the coordination of the avatar is also an object of economic activity.

  Therefore, as with buying clothes in the real world and coordinating accessories and accessories, avatar coordination activities determine user preferences on the network and capture trends and changes in the network community. It is also an important analysis target.

  Further, for Web pages, a method has been used in which additional information data (such as advertisements) that easily attracts the user's interest is related to the content and guided to another page such as a product purchase page. And the service which can receive consideration from an advertiser by displaying advertisement data by such a method is also provided.

In such a situation, an advertisement distribution method according to the character (avatar) displayed on the web page is also conceivable. For example, in Patent Document 1, a method of providing advertisement information using hobby preference information based on an avatar selected by the user. Is disclosed.
JP 2006-30482 A

  However, in the above-mentioned Patent Document 1, advertisement information is selected based on hobby preference information acquired from each item relating to a character, and the item selection tendency (history) is reflected, including characters generated in the past. It is not a thing. Therefore, since it is based on the characteristic of a temporary character, it cannot necessarily reflect the user's preference over a long period of time.

  Therefore, an object of the present invention is to provide a method for obtaining user preference from an item selection history related to a character (avatar) displayed on a Web page and transmitting related additional information (advertisement) data to a terminal.

  For the above purpose, the following are specifically provided.

(1) A method in which a server connected to a user terminal via a communication network transmits additional information data to the terminal,
Storing a plurality of the additional information data in advance in association with keywords related to the additional information data (in the advertisement DB 212);
Item attribute data of an item for constituting a part of character data stored in association with the user ID of the user (in the avatar DB 201) is associated with the item ID of the item as an item table (in the item DB 202). Memorizing step;
Storing item ID data of items previously selected by the user with respect to the character as a coordination history table in association with the user ID data of the user (in the coordination history DB 203);
In response to a request from the terminal, referring to the coordination history table, reading item ID data associated with the user ID data of the user;
The item attribute data associated with the read item ID data is read with reference to the item table, the feature is analyzed with reference to the concept dictionary table (stored in the concept dictionary DB 204), and the feature data is Generating step;
Extracting the additional information data associated with the keyword having a high degree of association with the feature data generated by the stored keyword;
Transmitting the extracted additional information data to the terminal;
Including methods.

  According to such a configuration, the server stores a plurality of pieces of additional information data in advance in association with keywords related to the additional information data, and a part of character data stored in association with the user ID of the user. Is stored in association with the item ID of the item as an item table, and the item ID data of the item selected by the user in the past as a character is the user's user as a coordination history table. Store in association with ID data, and in response to a request from the terminal, refer to the coordination history table, read item ID data associated with the user ID data of the user, refer to the item table, Read item The item attribute data associated with the D data is read, the feature is analyzed with reference to a concept dictionary table, the feature data is generated, and the stored keyword is highly related to the feature data generated, The additional information data associated with the keyword is extracted, and the extracted additional information data is transmitted to the terminal.

  Accordingly, the server can extract the feature from the item selection history data by the user and transmit the related additional information data (such as an advertisement) to the terminal. Therefore, since the user's long-term tendency is reflected, there is a possibility that the additional information data suitable for the user's hobbies can be distributed effectively.

(2) Further storing time stamp data indicating a time when the item included in the coordination history table has received a selection from the terminal;
The method according to (1), wherein in the step of reading item ID data associated with user ID data of the user, item ID data of an item whose time stamp data is after a predetermined time is read.

  According to such a configuration, the server extracts the feature of the coordinate history of the item after a predetermined time, so even if the trend changes with time, additional information data (advertisement) based on the recent feature Etc.) may be distributed.

(3) Further storing selection number data indicating the number of times the item included in the item table has received selection from the terminal;
The method according to (1) or (2), wherein in the step of extracting the additional information data, when the selection frequency data is larger, the additional information data is extracted with a larger weight.

  According to such a configuration, the server can increase the appearance probability of additional information data (such as an advertisement) related to the item according to the frequency of use of the item. Therefore, there is a possibility that additional information data related to popular items can be distributed effectively.

  (4) The method according to any one of (1) to (3), wherein the step of reading the item ID data includes reading item ID data associated with user ID data of a user group including the user. .

  According to such a configuration, since the features are extracted based on the coordination histories of a plurality of users including the user, additional information data (advertising etc.) reflecting the tendency (fashion) of many users can be distributed. there is a possibility.

(5) A server connected to a user terminal via a communication network and transmitting additional information data to the terminal,
Means for storing a plurality of the additional information data in association with keywords related to the additional information data in advance;
Means for storing item attribute data of an item for constituting part of character data stored in association with the user ID of the user in association with the item ID of the item as an item table;
Means for storing item ID data of items previously selected by the user with respect to the character in association with the user ID data of the user as a coordination history table;
Means for reading item ID data associated with the user ID data of the user with reference to the coordination history table in response to a request from the terminal;
Means for reading item attribute data associated with the read item ID data with reference to the item table, analyzing the feature with reference to the concept dictionary table, and generating feature data;
Means for extracting the additional information data associated with the keyword having a high degree of association with the feature data generated by the stored keyword;
Means for transmitting the extracted additional information data to the terminal;
A server comprising

  According to such a configuration, the same effect as in (1) can be expected by operating the server.

(6) Further storing time stamp data indicating a time when the item included in the coordination history table has received a selection from the terminal;
The server according to (5), wherein in the means for reading item ID data associated with the user ID data of the user, item ID data of an item whose time stamp data is after a predetermined time is read.

  According to such a configuration, the same effect as in (2) can be expected by operating the server.

(7) Further storing selection number data indicating the number of times that the item included in the item table has received selection from the terminal;
The server according to (5) or (6), wherein, in the means for extracting the additional information data, when the selection frequency data is larger, the additional information data is extracted with higher weighting.

  According to such a configuration, the same effect as in (3) can be expected by operating the server.

  (8) The server according to any one of (5) to (7), wherein the means for reading the item ID data reads item ID data associated with user ID data of a user group including the user. .

  According to such a configuration, the same effect as in (4) can be expected by operating the server.

(9) A program for causing a server connected to a user terminal via a communication network to transmit additional information data to the terminal,
Storing a plurality of the additional information data in association with keywords related to the additional information data in advance;
Storing item attribute data of an item for constituting a part of character data stored in association with the user ID of the user in association with the item ID of the item as an item table;
Storing item ID data of items previously selected by the user with respect to the character in association with the user ID data of the user as a coordination history table;
In response to a request from the terminal, referring to the coordination history table, reading item ID data associated with the user ID data of the user;
Referring to the item table, reading item attribute data associated with the read item ID data, analyzing the feature with reference to the concept dictionary table, and generating feature data;
Extracting the additional information data associated with the keyword having a high degree of association with the feature data generated by the stored keyword;
Transmitting the extracted additional information data to the terminal;
A program that executes

  According to such a configuration, the same effect as in (1) can be expected by executing the program on the server.

  According to the present invention, there is a possibility that the user's preference is obtained from the item selection history related to the character displayed on the Web page, and the additional information data that the user is interested in can be effectively transmitted.

An example of a preferred embodiment according to the present invention will be described below based on the drawings.
[System overall configuration]

  FIG. 1 is a block diagram showing an overall configuration of a computer system 1 and a functional configuration of a server 10 according to an example of a preferred embodiment of the present invention.

  Server 10 and terminal 20 are connected via communication network 30. Here, there is no restriction | limiting in the number of the servers 10, You may comprise by 1 or multiple as needed. Further, the server 10 may be configured to include a Web server, a DB server, and an application server as necessary, and may be configured with one server or different servers.

  The server 10 is configured as an avatar management device that manages at least a character as an avatar, and the storage unit 200 includes an avatar DB 201, an item DB 202, a coordination history DB 203, a concept dictionary DB 204, and an advertisement DB 212.

  Furthermore, the control unit 100 controls the entire server 10 and includes at least an item ID data reading unit 101, an item attribute data feature analysis unit 102, an advertisement data extraction unit 113, and an advertisement data transmission unit 114.

  The server 10 stores an item selection history regarding the character (avatar) in the terminal 20. Subsequently, the server 10 refers to various data (FIGS. 2, 3, 4, 7, and 8) stored in the storage unit 200, and the control unit 100 adds additional information data (advertisement) related to the selection history. Data) is extracted and transmitted to the terminal 20. Details of the processing will be described later (FIGS. 5 and 6).

Hereinafter, the character will be described as an avatar, and the additional information data will be described as advertisement data.
[Avatar table]

  FIG. 2 is a diagram illustrating an avatar table according to an example of the preferred embodiment of the present invention.

  The storage unit 200 stores items for each classification such as “face”, “hairstyle”, “clothes”, and “bottoms” in the avatar DB 201, for example, as an avatar table shown in FIG. An item ID to be identified is associated and stored.

  For example, for a user whose user ID is “ABC12”, the storage unit 200 displays “D678” for “face”, “B898” for “hairstyle”, “C1120” for “clothes”, and “A178” for bottoms. Are stored in association with “ABC12”, respectively.

Thus, the avatar table manages the item ID based on the coordinates of the current avatar in association with the user ID.
[Item table]

  FIG. 3 is a diagram showing an item table according to an example of the preferred embodiment of the present invention.

  The storage unit 200 stores image data, classification data, item attribute data (attribute 1, attribute 2, attribute 3), and the number of times selected (in the item DB 202 as an item table shown in FIG. The number of uses) is stored in association with each other.

  For example, item attribute data such as “suit”, “spring”, “gray”, and “business” is associated with an item having an item ID “C1120”, together with image data representing the item, Can be read 1000 times.

Here, the image data is exemplified as the data representing the substance of the item. However, the present invention is not limited to this, and it may be moving image data such as MPEG, FLASH (registered trademark), 3GP, or audio data such as WAV, MP3. It may be. In the present invention, everything that can be handled as data constituting a part of the avatar that is finally transmitted to the terminal 20 is included.
[Coordinate history table]

  FIG. 4 is a diagram showing a coordination history table according to an example of the preferred embodiment of the present invention.

  The storage unit 200 stores, in the coordination history DB 203, for example, as a coordination history table shown in FIG. 4, item ID data of items selected by the user in the past in association with user ID data as a key.

  For example, a user whose user ID data is “ABC12” selects “D678” and “B658” as “face” in the past, and “B898”, “D158”, and “E773” as items as “hairstyle”. It is possible to read the selection and the like.

In the example of FIG. 4, past selection histories are listed, but data relating to the date and time when each item was selected by the user may be stored together. This makes it possible to read the item selection status at a certain point in time, the item selection tendency during a predetermined period, and the like.
[Main processing]

  FIG. 5 is a flowchart showing the flow of main processing according to an example of the preferred embodiment of the present invention.

  In step S <b> 11, the control unit 100 accepts selection of items constituting the avatar of the terminal 20. Here, the control unit 100 may receive data related to the selection of an item by the user from the terminal 20, or the selection of the item is automatically selected by the server 10, for example, regardless of the user's intention. May be.

  In Step S12, control part 100 memorizes history data about selection of an item received in Step S11. Specifically, the item ID data is stored using the above-described coordination history table (FIG. 4).

  In step S13, the control unit 100 extracts feature data characterizing the item attribute data based on the history data stored in step S12. Details of the processing contents will be described later with reference to FIG.

  In step S14, the advertisement data extraction unit 113 of the control unit 100 calculates the degree of association between the feature data extracted in step S13 and the keyword data of each advertisement stored in the advertisement table (FIG. 8).

  The advertisement table shown in FIG. 8 stores keyword data related to each advertisement content in association with advertisement data including image data and link data. That is, the degree of relevance is highly evaluated for an advertisement that matches feature data and keyword data, and is stored as an index for extracting advertisement data.

  Here, the degree of relevance can be expressed by, for example, converting the number of words included in two pieces of data to be compared as points. Alternatively, when the words included in the keyword data match, higher points may be given, and when the synonyms and synonyms match, lower points may be given. In addition, known techniques for improving the accuracy and efficiency of various relevance determinations can be applied to the present invention.

  In step S15, the advertisement data extraction unit 113 of the control unit 100 selects and extracts advertisement data to be transmitted to the terminal 20 based on the relevance calculated in step S14. The advertisement data extracted here may be data having a predetermined relevance level or higher. Alternatively, a predetermined number may be extracted in descending order of relevance.

In step S16, the advertisement data transmission unit 114 of the control unit 100 transmits the advertisement data extracted in step S15 to the terminal 20.
[Feature data extraction process]

  FIG. 6 is a flowchart showing a flow of feature data extraction processing according to an example of the preferred embodiment of the present invention. This process corresponds to step S13 of the main process (FIG. 5).

  In step S21, the item ID data reading unit 101 of the control unit 100 reads item ID data associated with the user ID data of the user of the terminal 20 with reference to the coordination history table (FIG. 4). Thereby, the selection history of the item regarding the user's avatar is acquired.

  In step S22, the item attribute data feature analysis unit 102 of the control unit 100 refers to the item table (FIG. 3) and reads the item attribute data associated with the item ID read in step S13.

  In step S23, the item attribute data feature analysis unit 102 of the control unit 100 reads concept dictionary data. Specifically, for example, a rule for associating the tendency of the item attribute data with the data (word) representing the user's preference concept, which is a feature thereof, is acquired from the concept dictionary table shown in FIG.

  For example, for item attribute data corresponding to a coordination history, when “business clothes are continuous”, “business suit” is associated as a preference concept (feature data). In this way, words (feature data) that characterize the item coordination history are stored in advance in the concept dictionary table.

  In step S24, the item attribute data feature analysis unit 102 of the control unit 100 performs matching evaluation between the item attribute data read in step S22 and the concept dictionary data read in step S23. That is, it is determined whether or not the read item attribute data applies to each tendency of the item attribute data stored in the concept dictionary table, and the evaluation points are stored.

  At this time, if they do not match but are similar, a lower evaluation score may be stored than when they match. Further, items related to the item attribute data of items that have been used frequently may be evaluated with high weighting.

  In step S25, based on the evaluation in step S24, the stored preference concept having a high evaluation score is extracted as feature data. Note that the feature data to be extracted may be more than a predetermined evaluation score, or a predetermined number may be extracted from those having a high evaluation score.

  In the feature data extraction process described above, there may be a plurality of users who read the item ID data. By referring to the history of item selection regarding a plurality of users, the trend of the world including users other than the user is reflected in the feature data, and there is a possibility that a trendy advertisement can be distributed.

  In the above embodiment, the concept dictionary table shown in FIG. 7 is used. However, the concept dictionary table is not limited to this configuration. For example, the upper / lower relationship of words, the partial / whole relationship, and synonyms Words may be classified and organized according to relationships, synonymous relationships, and other known concept dictionaries can be used in the present invention.

  In that case, the read item attribute data is compared with the keyword data of the advertisement, and the degree of association is calculated based on the upper / lower relationship, the partial / whole relationship, the synonym relationship, the synonym relationship, etc. of both words. Alternatively, matching may be performed after item attribute data and keyword data are converted into representative words by the dictionary.

  Moreover, regarding the item ID data to be read, data stored in the coordination history table may be data after a predetermined time. This may reflect trends, for example, based on item selection trends over the last month.

  Alternatively, the degree of association may be calculated by weighting according to the time when the item is selected. In this way, for example, an advertisement related to the recently selected item can be preferentially extracted.

Furthermore, if weighting according to the number of times the item is used is performed, the trend of item selection is reflected, and there is a possibility that a popular advertisement is preferentially extracted.
[Hardware configuration of server]

  FIG. 9 is a diagram illustrating an example of a hardware configuration of the server 10 described in FIG. The server 10 includes a CPU (Central Processing Unit) 1010 (a plurality of CPUs such as a CPU 1012 may be added in a multiprocessor configuration), a bus line 1005, a communication I / F 1040, a main memory 1050, a BIOS ( (Basic Input Output System) 1060, USB port 1090, I / O controller 1070, and input means such as a keyboard and mouse 1100 and a display device 1022.

  Storage means such as a tape drive 1072, a hard disk 1074, an optical disk drive 1076, and a semiconductor memory 1078 can be connected to the I / O controller 1070.

  The BIOS 1060 stores a boot program executed by the CPU 1010 when the server 10 is started up, a program depending on the hardware of the server 10, and the like.

  The hard disk 1074 constituting the storage unit 200 stores various programs for the server 10 to function as a server and programs for executing the functions of the present invention, and various databases can be configured as necessary.

  As the optical disc drive 1076, for example, a DVD-ROM drive, a CD-ROM drive, a DVD-RAM drive, or a CD-RAM drive can be used. In this case, the optical disk 1077 corresponding to each drive is used. A program or data can be read from the optical disk 1077 by the optical disk drive 1076 and provided to the main memory 1050 or the hard disk 1074 via the I / O controller 1070. Similarly, the tape medium 1071 corresponding to the tape drive 1072 can be used mainly for backup.

  The program provided to the server 10 is provided by being stored in a recording medium such as the hard disk 1074, the optical disk 1077, or a memory card. The program may be installed in the server 10 and executed by being read from the recording medium via the I / O controller 1070 or downloaded via the communication I / F 1040.

  The aforementioned program may be stored in an internal or external storage medium. Here, in addition to the hard disk 1074, the optical disk 1077, or the memory card, a magneto-optical recording medium such as an MD, or a tape medium can be used as the storage medium constituting the storage unit 200. Further, a storage device such as a hard disk 1074 or an optical disk library provided in a server system connected to a dedicated communication line or the Internet may be used as a recording medium, and the program may be provided to the server 10 via the communication line.

  Here, the display device 1022 displays a screen for accepting data input to the user, or displays a screen of a calculation processing result by the server 10, and includes a cathode ray tube display device (CRT) and a liquid crystal display device (LCD). ) And the like.

  Here, the input means accepts input by the user, and may be constituted by a keyboard, a mouse 1100, and the like.

  The communication I / F 1040 is a network adapter for enabling the server 10 to be connected to a terminal via a dedicated network or a public network. The communication I / F 1040 may include a modem, a cable modem, and an Ethernet (registered trademark) adapter.

In the above example, the server 10 has been mainly described. However, the functions described above can also be realized by installing a program in a computer and operating the computer as a server device. Therefore, the functions realized by the server described as an embodiment in the present invention can be realized by executing the above-described method by the computer, or by introducing the above-mentioned program into the computer and executing it. It is.
[Device hardware configuration]

  The terminal 20 also has the same configuration as the server 10 described above. In the above-described example, an example realized by a so-called computer has been described. Furthermore, as long as the principle of the present invention is applicable, it can be realized by various terminals such as a mobile phone, a PDA (Personal Data Assistant), and a game machine. It's okay.

  As mentioned above, although embodiment of this invention was described, this invention is not restricted to embodiment mentioned above. The effects described in the embodiments of the present invention are only the most preferable effects resulting from the present invention, and the effects of the present invention are limited to those described in the embodiments of the present invention. is not.

1 is a block diagram showing an overall configuration of a computer system 1 and a functional configuration of a server 10 according to an example of a preferred embodiment of the present invention. It is a figure which shows the avatar table which concerns on an example of suitable embodiment of this invention. It is a figure which shows the item table which concerns on an example of suitable embodiment of this invention. It is a figure which shows the coordination log | history table which concerns on an example of suitable embodiment of this invention. It is a flowchart which shows the flow of the main process which concerns on an example of suitable embodiment of this invention. It is a flowchart which shows the flow of the extraction process of the characteristic data which concerns on an example of suitable embodiment of this invention. It is a figure which shows the concept dictionary table which concerns on an example of suitable embodiment of this invention. It is a figure which shows the advertisement table which concerns on an example of suitable embodiment of this invention. It is a figure which shows an example of the hardware constitutions of the server 10 which concerns on an example of suitable embodiment of this invention.

Explanation of symbols

1 System 10 Server 20 Terminal 30 Communication Network 100 Control Unit 101 Item ID Data Reading Unit 102 Item Attribute Data Feature Analysis Unit 113 Advertising Data Extraction Unit 114 Advertising Data Transmission Unit 200 Storage Unit 201 Avatar DB
202 Item DB
203 Coordination history DB
204 Concept dictionary DB
212 Advertising DB

Claims (9)

A server connected to a user terminal via a communication network is a method for transmitting additional information data to the terminal,
Storing a plurality of the additional information data in association with keywords related to the additional information data in advance;
Storing item attribute data of an item for constituting a part of character data stored in association with the user ID of the user in association with the item ID of the item as an item table;
Storing item ID data of items previously selected by the user with respect to the character in association with the user ID data of the user as a coordination history table;
In response to a request from the terminal, referring to the coordination history table, reading item ID data associated with the user ID data of the user;
Referring to the item table, reading item attribute data associated with the read item ID data, analyzing the feature with reference to the concept dictionary table, and generating feature data;
Extracting the additional information data associated with the keyword having a high degree of association with the feature data generated by the stored keyword;
Transmitting the extracted additional information data to the terminal;
Including methods. Further storing time stamp data indicating a time when the item included in the coordination history table has received a selection from the terminal;
The method according to claim 1, wherein in the step of reading item ID data associated with user ID data of the user, item ID data of an item whose time stamp data is after a predetermined time is read. Further storing selection number data indicating the number of times the item included in the item table has received selection from the terminal;
The method according to claim 1 or 2, wherein, in the step of extracting the additional information data, when the selection number data is larger, the additional information data is extracted with a larger weight.   4. The method according to claim 1, wherein the step of reading out the item ID data reads out item ID data associated with user ID data of a user group including the users. A server connected to a user terminal via a communication network and transmitting additional information data to the terminal,
Means for storing a plurality of the additional information data in association with keywords related to the additional information data in advance;
Means for storing item attribute data of an item for constituting part of character data stored in association with the user ID of the user in association with the item ID of the item as an item table;
Means for storing item ID data of items previously selected by the user with respect to the character in association with the user ID data of the user as a coordination history table;
Means for reading item ID data associated with the user ID data of the user with reference to the coordination history table in response to a request from the terminal;
Means for reading item attribute data associated with the read item ID data with reference to the item table, analyzing the feature with reference to the concept dictionary table, and generating feature data;
Means for extracting the additional information data associated with the keyword having a high degree of association with the feature data generated by the stored keyword;
Means for transmitting the extracted additional information data to the terminal;
A server comprising Further storing time stamp data indicating a time when the item included in the coordination history table has received a selection from the terminal;
6. The server according to claim 5, wherein means for reading item ID data associated with user ID data of the user reads item ID data of items whose time stamp data is after a predetermined time. Further storing selection number data indicating the number of times the item included in the item table has received selection from the terminal;
7. The server according to claim 5, wherein the means for extracting the additional information data is extracted with a larger weight when the selection count data is larger.   The server according to claim 5, wherein the means for reading out the item ID data reads out item ID data associated with user ID data of a user group including the user. A program for causing a server connected to a user terminal via a communication network to transmit additional information data to the terminal,
Storing a plurality of the additional information data in association with keywords related to the additional information data in advance;
Storing item attribute data of an item for constituting a part of character data stored in association with the user ID of the user in association with the item ID of the item as an item table;
Storing item ID data of items previously selected by the user with respect to the character in association with the user ID data of the user as a coordination history table;
In response to a request from the terminal, referring to the coordination history table, reading item ID data associated with the user ID data of the user;
Referring to the item table, reading item attribute data associated with the read item ID data, analyzing the feature with reference to the concept dictionary table, and generating feature data;
Extracting the additional information data associated with the keyword having a high degree of association with the feature data generated by the stored keyword;
Transmitting the extracted additional information data to the terminal;
A program that executes

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