JP2003157278A - Digital contents preparation system, contents data selection system, digital contents preparation program, and method for preparing digital contents - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a digital contents preparation system suitable for information provision considering both of user's liking or interest and an objective topicality and capable of reflecting a user's request about the importance of information. SOLUTION: A contents distribution terminal 200 acquires priority information concerned with priority indicating with is preferentially to be considered, user information or topical information, selects contents data from a contents data registering DB82 on the basis of the user information registered in a user information registering DB60 and the topical information registered in a topical information registering DB40, determines an output layout by using the selected contents data, and prepares digital contents.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a system, a program, and a method for creating digital contents, and particularly to provide information in consideration of both user's preference and interest and objective topicality. The present invention relates to a digital content creation system, a content data selection system, a digital content creation program, and a digital content creation method that are suitable and can reflect user's wishes regarding the importance of information.

[0002]

2. Description of the Related Art Conventionally, there is a digital content distribution system for providing digital content such as news to users. In the digital content distribution system, a content data registration database (hereinafter, the database is simply abbreviated as DB). Content data is selected from (.), The digital content is edited using the selected content data, and the edited digital content is distributed to the user.

As a technique for creating digital contents, there is, for example, an information filtering device disclosed in Japanese Patent Laid-Open No. 10-340270. This constitutes an information filtering device with the following functions. That is, a set of information vectors whose similarity to the user profile indicating the degree of interest of the user with respect to predetermined digitized information exceeds the first reference value is specified by the filtering module, and further, by the usefulness determination module, the user is interested. Select a vector set B with. The selected vector set B is divided by the vector division module, and only a set of information vectors whose mutual similarity exceeds a second reference value larger than the first reference value is set as a feedback vector set. The feedback module updates the user profile based on the feedback vector set.

[0004] This enables filtering that accurately reflects the user's interest. However, in the above conventional information filtering device,
Since the filtering is performed by focusing only on the points that reflect the interests of the user, there is a possibility that some users do not select information that is objectively highly topical at all because the interests are given too much priority. , It was not enough to use for the delivery of news etc.

In order to solve this problem, Japanese Patent Laid-Open No. 2001-092
The information recommendation method disclosed in Japanese Patent No. 832 (hereinafter referred to as the first
The conventional example of. ), And a document processing device disclosed in Japanese Patent Laid-Open No. 11-53394 (hereinafter referred to as a second conventional example). A first conventional example is a user profile storage unit that stores a user profile indicating an interest in information of a user, a user profile updating unit that updates the user profile from the information browsing history of the user, and information of recommendation to the user. Referral information storage unit that stores referral information, referral information acquisition unit that obtains referral information, referral information evaluation unit that evaluates information recommended to the user from the referral information and user profile, and referral information evaluation unit evaluation and referral And a recommendation degree consideration type information selection unit that presents to the user the introduction information selected in consideration of the recommendation degree included in the information.

[0006] Thus, the information recommended to the user is determined in consideration of the recommendation degree of the information provided by the information introducer, so that more useful information can be provided to the user. Second
In the prior art example, first, a processing important word (keyword) is acquired from the appearance frequency in the past processed document, and a GP vector representing the preference of the entire user is acquired from the appearance frequency of the processing important word in the processed document. . In addition, the importance of the processing important word in the reference document A, which is the reference for obtaining the similarity, is acquired, the document vector Va whose element is this importance is acquired, and the GP vector and each element of the document vector Va are multiplied. To obtain the preference document vector V'a. The taste of the user is reflected in the taste document vector V'a. The cosine value cos (q) of the angle q formed by the preference document vector V′a and the document vector Vb of the other document B is set as the similarity between the reference document A and the other document B. The higher the degree of similarity, the closer the other document B is to the preference of the user.

[0007]

However, in the first conventional example, when there is a plurality of pieces of introduction information, if there is at least one piece of introduction information that is close to the information resource, that information will be used. Since it is provided to the user,
The more referral information, the more difficult it is to provide useful information. In addition, even if the recommendation level of the information introducer can be taken into consideration in the provision of information, if the recommendation of the information introducer does not objectively match the topicality, information with high topicality should be provided. I can't.

Further, since the information to be provided includes a certain proportion of information that matches the interests of the user and information that matches the recommendation of the information introducer, for example, the proportion of information that matches the interests of the user. When there is a user who wants to increase or a user who desires the opposite, it is difficult to satisfy all the demands of such a user. Therefore, there is a problem that it is not possible to reflect the user's wishes regarding the importance of information.

On the other hand, in the second conventional example, with respect to the document B to be provided, the importance (G
Since the ratio of the P vector) and the ratio of the importance degree of the user's own preference (V'a vector) are constant,
For example, if there is a user who wants to increase the proportion of interests of all users, or conversely, a user who wants to increase the proportion of importance of one's own preference, request of such a user is requested. It is difficult to meet all. Therefore, there is a problem that it is not possible to reflect the user's wishes regarding the importance of information.

Therefore, the present invention has been made by paying attention to such unsolved problems of the conventional technique, and information in consideration of both the user's taste and interest and objective topicality. An object of the present invention is to provide a digital content creation system, a content data selection system, a digital content creation program, and a digital content creation method that are suitable for providing and that can reflect the user's wishes regarding the importance of information. There is.

[0011]

In order to achieve the above object, the digital content creation system according to the first aspect of the present invention is such that when a content data storage means for storing content data becomes available, A system for selecting the content data from the content data storage means and creating digital content using the selected content data, the user information regarding a user, other target information regarding a target other than the user, and the user. Content selection means for selecting the content data from the content data storage means based on priority information regarding priority indicating which of the information and the other target information is preferentially considered, and the content selection means. Output layout using selected content data Determines out and a content creating means for creating the digital contents.

With such a configuration, when the content data storage unit becomes available, the content selection unit selects the content data storage unit based on the user information, the other target information, and the priority information. Content data is selected, and an output layout is determined by the content creating means using the selected content data to create digital content.

Here, the other target information includes, for example, topicality information regarding topicality, introduction information desired to be introduced to the user, or user group information regarding a group to which the user belongs. Hereinafter, the same applies to the digital content creation system according to claim 2, the content data selection system according to claim 22, the digital content creation program according to claim 23, and the digital content creation method according to claim 24.

The user information includes, for example, the age, sex, interests and preferences of the user, an address, a name, or a usage environment related to the user terminal. Hereinafter, the same applies to the digital content creation system according to claim 2, the content data selection system according to claim 22, the digital content creation program according to claim 23, and the digital content creation method according to claim 24.

As for the user information, the user information may be stored in the storage means and the user information in the storage means may be used. Alternatively, the user information may be input when the system is operated and the input user is input. Information may be used. This also applies to other target information or priority information. Hereinafter, the same applies to the content data selection system according to claim 22, the digital content creation program according to claim 23, and the digital content creation method according to claim 24.

The user information and the priority information may be configured separately or may be configured as integrated data. In the latter case, the priority information may be included in the user information, the user information may be included in the priority information, or the user information and the priority information may be integrated and configured as separate information. . Hereinafter, the same applies to the digital content creation system according to claim 2, the content data selection system according to claim 22, the digital content creation program according to claim 23, and the digital content creation method according to claim 24.

Here, the content data storage means stores the content data by any means and at any time, and may store the content data in advance, or may store the content data in advance. Alternatively, the content data may be stored by an external input when the present system operates. Further, using the content data storage means means using the content data of the content data storage means in the present system, for example,
In addition to reading the content data from the content data storage means, when the content data in the content data storage means flows on the network as stream data, it includes acquiring the stream data. Hereinafter, the same applies to the digital content creation system according to claim 2, the content data selection system according to claim 22, the digital content creation program according to claim 23, and the digital content creation method according to claim 24.

The present system may be realized as a single device, or may be realized as a network system in which a plurality of terminals are communicably connected. In the latter case, each component may belong to any of the plurality of terminals as long as they are communicably connected. Hereinafter, the same applies to the digital content creation system according to claim 2.

The output layout means, for example, in the case of creating digital content for the purpose of displaying it on the screen, when creating the digital content for the purpose of printing the display layout on paper. Refers to the print layout. The same applies to the digital content creation system described in claim 2, the digital content creation program described in claim 23, and the digital content creation method described in claim 24.

Further, a digital content creation system according to a second aspect of the present invention relates to content data storage means for storing content data, user information storage means for storing user information about a user, and objects other than the user. A system for selecting the content data from the content data storage means and creating digital content using the selected content data when the other target information storage means for storing the other target information becomes available. And priority information acquisition means for acquiring priority information regarding priority indicating which of the user information and the other target information is to be preferentially considered, user information of the user information storage means, and the other target Other target information of the information storage means, and the priority information acquired by the priority information acquisition means. Content selecting means for selecting the content data from the content data storage means based on the degree information, and content creating means for determining the output layout using the content data selected by the content selecting means to create the digital content. With.

With such a configuration, when the content data storage means, the user information storage means and the other target information storage means become available, the priority information acquisition means acquires the priority information, The content selection means selects content data from the content data storage means based on the user information of the user information storage means, the other target information of the other target information storage means, and the obtained priority information, and the content creation means An output layout is determined using the selected content data, and digital content is created.

Here, the user information storage means stores the user information by any means and at any time, and may store the user information in advance, or may store the user information in advance. Alternatively, the user information may be stored by an input from the outside when the system is operated. This is the same when the other target information is stored in the other target information storage means.

Further, in the digital content creating system according to claim 3 of the present invention, in the digital content creating system according to claim 2, the other target information is topical information on topicality, and the other target information. The storage unit is a topicality information storage unit that stores the topicality information. With such a configuration, when the content data storage means, the user information storage means, and the topic information storage means become available, the priority information acquisition means acquires the priority information, and the content selection means. According to, the content data is selected from the content data storage means based on the user information in the user information storage means, the topicality information in the topicality information storage means, and the acquired priority information, and is selected by the content creation means. The output layout is determined by using the content data, and the digital content is created.

Further, the digital content creation system according to claim 4 of the present invention is the digital content creation system according to claim 3, wherein the content selection means is user information and topic information of the user information storage means. Based on the topicality information of the storage means, content data suitable for the user's taste or interest and topicality is selected from the content data storage means, and based on the priority information acquired by the priority information acquisition means. Then, the ratio of the content data that matches the taste or interest of the user and the content data that matches the topicality is adjusted.

With such a structure, the content selection means makes the content data suitable for the user's taste or interest and topicality based on the user information in the user information storage means and the topicality information in the topicality information storage means. Is selected from the content data storage means. Further, based on the acquired priority information, the ratio between the content data that matches the taste or interest of the user and the content data that matches the topicality is adjusted.

Here, the content selection means may have any configuration as long as it adjusts the ratio of the content data that matches the taste or interest of the user and the content data that matches the topicality. Well, for example, it may be adapted to adjust the ratio of its importance,
The ratio of the amount of data may be adjusted, or the ratio of the number may be adjusted.

Furthermore, a digital content creation system according to a fifth aspect of the present invention is the digital content creation system according to any of the third and fourth aspects, in which the priority information is stored in association with a user's situation. When the priority information storage means to be used becomes available, the content data is selected from the content data storage means based on the priority information of the priority information storage means. Alternatively, a status information acquisition unit that acquires status information about a future status, and priority information about the current or future status of the user based on the status information acquired by the status information acquisition unit is stored in the priority information storage unit. And a priority information search means for searching from among them, and the priority information acquisition means searches the priority information search means. Sakido is adapted to retrieve the information.

With such a configuration, the status information acquisition unit acquires the status information, and the priority information retrieval unit prioritizes the present or future status of the user based on the acquired status information. The priority information is retrieved from the priority information storage means, and the retrieved priority information is obtained by the priority information acquisition means. Furthermore, the digital content creation system according to claim 6 of the present invention is
The digital content creation system according to claim 5, wherein priority information input means for inputting the priority information, and priority information input by the priority information input means are specified by status information acquired by the status information acquisition means. And priority information registration means for registering in the priority information storage means in association with the user situation.

With such a configuration, when priority information is input to the priority information input means, the priority information registration means identifies the input priority information from the acquired status information. It is registered in the priority information storage means in association with the user situation. Furthermore, the digital content creation system according to claim 7 of the present invention is the digital content creation system according to claim 5, wherein priority information input means for inputting the priority information and the status information, and the priority information. And priority information registration means for registering the priority information input by the input means in the priority information storage means in association with the situation of the user identified by the situation information input by the priority information input means.

With this configuration, when priority information and status information are input to the priority information input means, the priority information registration means changes the input priority information to the input status information. It is registered in the priority information storage means in association with the specified user situation. Furthermore, the digital content creation system according to claim 8 of the present invention is the digital content creation system according to any one of claims 5 to 7, wherein the priority information storage means stores the priority information as position information. The status information acquisition unit is configured to acquire the position information as the status information from the position information generation unit that generates the position information for specifying the position of the user. There is.

With such a configuration, the position information generating means generates the position information, and the status information acquiring means acquires the generated position information as the status information.
Further, the position information generating means may acquire the position information by measuring the position of the mobile terminal with a communication terminal to which the mobile terminal of the user is communicatively connected, or GPS (Global Positioning). System) etc. may be used to measure the position with a mobile terminal, or the position information may be obtained by calculating with the communication terminal based on measurement information from the mobile terminal. , Even if the position information is acquired by measuring the position of the mobile terminal at the base station to which the mobile terminal is connected, or by calculating at the communication terminal based on the measurement information from the base station. Good.

Furthermore, the digital content creation system according to claim 9 of the present invention is the digital content creation system according to any one of claims 3 to 8, wherein the content selection means is the content data storage means. The content data is read, a preference value indicating the user's preference or degree of interest in the content data is calculated based on the read content data and the user information in the user information storage unit, and the read content data and the topic Based on the topicality information of the content information storage means, a topicality value indicating the degree of topicality of the content data is calculated, and the calculated preference value is calculated based on the priority information acquired by the priority information acquisition means. And weighting calculation for topical value The total value is calculated, and also for the other content data in the content data storage means, the reading, the preference value calculation, the topicality value calculation, and the matching value calculation are performed, and the content data is converted into the matching value. It is designed such that the highest one is selected in order.

With such a configuration, the content data is read from the content data storage means by the content selection means, and the content data is read based on the read content data and the user information in the user information storage means. A preference value indicating the degree of the user's preference or interest is calculated, and based on the read content data and the topicality information of the topicality information storage means,
A topicality value indicating the degree of topicality of the content data is calculated. Then, based on the acquired priority information, weighting calculation is performed on each of the calculated preference value and topicality value, and the compatible value is calculated. Similarly, the other content data in the content data storage means is read, the preference value is calculated, the topicality value is calculated, and the matching value is calculated. Then, the content data is selected in order from the one having the highest matching value.

Further, in the digital content creating system according to claim 10 of the present invention, in the digital content creating system according to claim 9, the priority information is user's preference or interest among all selected content data. And the occupancy rate of tastes that are compliant with
The content selection means includes a topical occupation rate of all content data that matches the topicality, and the content selection means is based on the priority information acquired by the priority information acquisition means. Is calculated by multiplying the preference value by a coefficient corresponding to the above, the coefficient corresponding to the topical occupation ratio by the topical value, and adding the multiplication results.

With such a configuration, the content selecting means multiplies the preference value by the coefficient according to the preference occupancy rate based on the acquired priority information and the coefficient according to the topicality occupancy rate. The adaptive value is calculated by multiplying the gender value and adding the multiplication results. Furthermore, the digital content creation system according to claim 11 of the present invention is the digital content creation system according to any one of claims 9 and 10, wherein the user information storage means is a specific target that can be a target of preference or interest. The representative preference target information representative of the content is stored as the user information in association with the preference degree indicating the degree of the user's preference or interest in the specific content, and the topic information is stored. The information storage unit associates the topicality degree indicating the degree of topicality of the specific content with the representative topicality target information representatively indicating the specific content that can be the topicality, The content selection unit stores the information as the information, and the content selection unit includes the representative preference included in the read content data. The number of pieces of stochastic information or a stochastic feature amount is calculated, the preference value is calculated by multiplying the calculated number or stochastic feature amount by the degree of preference of the user information, and the preference value is included in the read content data. The number of representative topicality target information or the stochastic feature amount is calculated, and the topicality value is calculated by multiplying the calculated number or stochastic feature amount by the topicality degree of the topicality information. There is.

With such a configuration, the content selection means calculates the number or the probabilistic feature amount of the representative preference target information included in the content data, and the user information preference is calculated based on the calculated number or the probabilistic feature amount. The preference value is calculated by multiplying the degree. Further, the number or probabilistic feature amount of the representative topicality target information included in the content data is calculated, and the topicality value is calculated by multiplying the calculated number or probabilistic feature amount by the topicality degree of the topicality information. To be done.

Here, as the representative preference target information, for example, if the specific content that can be the target of preference or interest is related to baseball, the word "Ichiro" corresponds to this. Further, as the representative topicality target information, for example, if the specific content that can be the topicality target is related to politics, the word "politics" corresponds to this.
In addition, the probabilistic feature quantity, like the ratio and TF-IDF value,
A numerical value calculated based on a stochastic feature amount.

Further, in the digital content creating system according to claim 12 of the present invention, in the digital content creating system according to claim 11, the representative taste object information represents a specific content that can be a taste or an object of interest. The representative topicality target information is a term that typically represents specific content that can be a target of topicality.

With such a configuration, the content selection means calculates the number or probabilistic characteristic amount of the word or phrase included in the content data, which is a word representative of the specific content that can be the object of preference or interest, and calculates it. The preference value is calculated by multiplying the selected number or the probabilistic feature amount by the preference degree of the user information. In addition, the number or probabilistic feature amount included in the content data of a word or phrase representatively showing specific content that can be the subject of topicality is calculated, and the calculated number or probabilistic feature amount is the topicality of the topicality information. The topicality value is calculated by multiplying the degree.

Further, the digital contents creating system according to claim 13 of the present invention is defined by claim 3 to claim 12.
In the digital content creation system according to any one of 1 to 3, when the article information storage means for storing article information becomes available, the topicality of the topicality information storage means is based on the article information in the article information storage means. The information is updated, and the topic information from the article information acquisition unit that acquires the article information from the article information storage unit and the article information acquired by the article information acquisition unit based on a predetermined extraction rule. Topical information extraction means for extracting
And a topicality information updating means for updating the topicality information in the topicality information storage means based on the topicality information extracted by the topicality information extraction means.

With such a configuration, when the article information storage means becomes available, the article information acquisition means acquires the article information from the article information storage means, and the topicality information extraction means determines a predetermined value. The topicality information is extracted from the acquired article information based on the extraction rule of 1., and the topicality information updating unit updates the topicality information in the topicality information storage unit based on the extracted topicality information.

Here, the article information storage means stores the article information by any means and at any time. The article information may be stored in advance, or the article information may be stored in advance. Alternatively, article information may be stored by an external input or the like when the present system operates. Further, in the digital content creation system according to claim 14 of the present invention, in the digital content creation system according to claim 13, when the extraction rule storage means for storing the predetermined extraction rule becomes available, The topical information is extracted based on the extraction rule of the extraction rule storage unit, and the topical information extraction unit is acquired by the article information acquisition unit based on the extraction rule of the extraction rule storage unit. The topical information is extracted from the published article information.

With such a configuration, the topic information extracting means can generate the extraction rule storing means based on the extraction rules.
Topic information is extracted from the acquired article information. Here, the extraction rule storage means is a means for storing the extraction rule by any means and at any time, and the extraction rule may be stored in advance, or without storing the extraction rule in advance, The extraction rule may be stored by an external input or the like when the present system operates.

Further, the digital contents creating system according to claim 15 of the present invention is the digital contents creating system according to claims 13 and 1.
4. In the digital content creation system according to any one of 4 above, the extraction rule includes representative topicality target information representatively showing specific content that can be a topicality target,
The topicality information extraction means extracts the topicality information based on the position or rank of the representative topicality target information in the article information acquired by the article information acquisition means.

With such a configuration, the topicality information extraction means extracts topicality information based on the position or rank of the representative topicality target information in the acquired article information. Furthermore, in the digital content creation system according to claim 16 of the present invention, in the digital content creation system according to any one of claims 13 and 14, the extraction rule represents a specific content that can be a subject of topicality. Representative topicality target information, the topicality information extraction means, the representative topicality target information, the number included in the article information acquired by the article information acquisition means or a stochastic feature amount, The topical information is extracted based on the calculated number or stochastic feature amount.

With such a configuration, the topicality information extraction means calculates the number or the probabilistic feature amount of the representative topicality target information included in the article information by the calculation method based on the acquired article information. Topic information is extracted based on the calculated number or stochastic feature amount. Furthermore, the digital content creation system according to claim 17 of the present invention is the digital content creation system according to any one of claims 13 to 16, wherein the topicality information update means is extracted by the topicality information extraction means. The topicality information in the topicality information storage means is updated in consideration of the temporal change of the topicality information.

With such a configuration, the topicality information updating means updates the topicality information in the topicality information storage means in consideration of the temporal change of the extracted topicality information.
Further, in the digital content creation system according to claim 18 of the present invention, in the digital content creation system according to claim 17, the topicality information update means is the topicality information extracted by the topicality information extraction means. The influence that contributes to the update is made smaller toward the past as it is farther from the present and larger as it is closer to the present.

With such a configuration, the influence of the extracted topicality information on the update by the topicality information updating means becomes smaller as it goes farther from the present toward the past,
The extracted topicality information is handled so that the closer it is to the present, the larger it becomes. Further, claim 19 according to the present invention
The described digital content creation system is claim 1.
In the digital content creation system described in 8,
In the topicality information updating means, the degree of influence of the topicality information to be updated contributing to the update is smaller than the degree of influence of the topicality information extracted by the topicality information extracting means to contributing to the update. Thus, the topical information to be updated is calculated, and the topical information to be updated is updated based on the calculated topical information and the topical information extracted by the topical information extraction means. It has become.

With this configuration, the degree of influence of the topicality information to be updated by the topicality information updating means is greater than the degree of influence of the extracted topicality information on the update. The topical information to be updated is calculated such that the topic becomes small, and the topical information to be updated is updated based on the calculated topical information and the extracted topical information.

Furthermore, the digital content creation system according to claim 20 of the present invention is defined by claim 13 through claim 1.
9. In the digital content creation system according to any one of 9 above, when a plurality of article information storage means for storing article information of different formats becomes available, the topicality is based on the article information in the article information storage means. The topicality information of the information storage means is updated, and the article information conversion means includes article format conversion means for converting the article information acquired by the article information acquisition means into article information of a predetermined format. The topical information is extracted from the article information in the predetermined format converted by the article format conversion means based on the predetermined extraction rule.

With such a configuration, when a plurality of article information storage means for storing article information of different formats becomes available, the article information acquisition means causes the article information to be stored in the plurality of article information storage means. Is acquired, and the acquired article information is converted into article information in a predetermined format by the article format conversion means. Then, the topicality information extraction means extracts topicality information from the converted article information in the predetermined format based on a predetermined extraction rule, and the topicality information update means extracts a topic based on the extracted topicality information. The topic information in the sex information storage means is updated.

Here, as article information in different formats,
For example, in addition to article information of different formats such as newspaper articles, article information of different media such as article information from television programs and radio programs is included. Furthermore, the digital content creation system according to claim 21 of the present invention is the digital content creation system according to any one of claims 1 to 20, wherein a schedule information storage means for storing schedule information regarding the schedule of the user is used. When it becomes possible, the priority information acquisition means acquires the priority information from the schedule information in the schedule information storage means.

With such a configuration, when the schedule information storage means becomes available, the priority information acquisition means acquires the priority information from the schedule information in the schedule information storage means. Here, part or all of the priority information is included in the schedule information. For example, the PDA (Personal Dig.
Ital Assistant) and the user's calendar, etc. managed on the mobile terminal are applicable.

The schedule information storage means stores schedule information by any means and at any time.
The schedule information may be stored in advance, or the schedule information may be stored by an external input or the like when the present system operates without storing the schedule information in advance. On the other hand, in order to achieve the above object, the content data selection system according to claim 22 of the present invention is a system applied as a part of the digital content creation system according to claim 1, and is user information about a user, The content data stored in the content data storage means based on other target information related to a target other than the user, and priority information related to priority indicating which of the user information and the other target information is preferentially considered. Content selection means for selecting is provided.

With such a configuration, when the content data storage unit becomes available, the content selection unit selects the content data storage unit based on the user information, the other target information, and the priority information. Content data is selected. On the other hand, in order to achieve the above-mentioned object, the digital content creation program according to claim 23 of the present invention is configured so that when the content data storage means for storing content data becomes available, A program for selecting the content data from the above and creating digital content using the selected content data, the user information relating to a user, other target information relating to a target other than the user, and the user information and the other target information. Using content selection means for selecting the content data from the content data storage means based on priority information about priority indicating which is preferentially considered, and content data selected by the content selection means Determine the output layout Is a program for executing a process to be achieved by the content creating means for creating a serial digital content to the computer.

With such a configuration, the program is read by the computer, and when the computer executes the process in accordance with the read program, the method according to claim 1
An effect equivalent to that of the digital content creation system described can be obtained. On the other hand, in order to achieve the above object, the digital content creating method according to claim 24 of the present invention is characterized in that when the content data storage means for storing content data becomes available, A method of selecting the content data from the above, and creating digital content using the selected content data, comprising user information about the user,
The content data stored in the content data storage means based on other target information related to a target other than the user, and priority information related to priority indicating which of the user information and the other target information is preferentially considered. And a content creation step of creating the digital content by determining an output layout using the content data selected in the content selection step.

[0057]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described below with reference to the drawings. 1 to 19 are diagrams showing an embodiment of a digital content creation system, a content data selection system, a digital content creation program, and a digital content creation method according to the present invention.

In the present embodiment, as shown in FIG. 1, a digital content creation system, a content data selection system, a digital content creation program, and a digital content creation method according to the present invention are used in a content distribution terminal 200, news, etc. This is applied to the case where the digital content of 1 is distributed to the mobile terminal 300.

First, the configuration of a network system to which the present invention is applied will be described with reference to FIG. FIG. 1 is a block diagram showing the configuration of a network system to which the present invention is applied. On the Internet 199, as shown in FIG. 1, a topicality information registration terminal 100 for registering topicality information about topicality, a priority information registration terminal 150 for registering priority information, and a plurality of content data providing terminals. a content data providing terminal S ₁ to S _n, the content data providing terminal S ₁ content distribution terminal 200 to the content distribution distributes collect storing contents data provided from to S _n, the mobile terminal 300 to be subjected to the use of the user
Relay station 32 that relays communication between the Internet and the Internet 199
0 and 0 are connected. Although only one mobile terminal 300 is shown in order to facilitate understanding of the invention, a plurality of mobile terminals are actually connected to the Internet 199.

A plurality of base stations 310 that wirelessly communicate with the mobile terminal 300 are connected to the relay station 320. The relay station 320 replaces the mobile terminal 300 when the mobile terminal 300 connects to the Internet 199. As a terminal on the Internet 199, the data from the mobile terminal 300 received via the base station 310 is transmitted to the target terminal via the Internet 199, and the data of the target terminal on the Internet 199 is transmitted. Is transmitted to the mobile terminal 300 via the base station 310.

Further, the relay station 320 allows the mobile terminal 300 to communicate with at least three base stations 310 at the same time so that the radio waves from the mobile terminal 300 are transmitted to the base stations 31.
Measure each time difference of the time to reach 0,
Based on the measured time difference, the current position of the mobile terminal 300 is measured and mobile terminal position information for specifying the position is generated.

The content data providing terminals S _{1 to} S _n are C
It is configured to have the same functions as a general computer in which PU, ROM, RAM, I / F, etc. are connected by a bus.
When the content data is created, the created content data is transmitted to the content distribution terminal 200. The mobile terminal 300 includes a CPU, ROM, RA
It is configured to have the same function as a general computer in which M and I / F and the like are connected to a bus.
Web) browser is provided, and the WWW browser is used to access the content distribution terminal 200.

Next, the configuration of the topic information registration terminal 100 will be described in detail with reference to FIG. FIG. 2 is a functional block diagram showing the configuration of the topicality information registration terminal 100.
As shown in FIG. 2, the topicality information registration terminal 100 includes a CPU 30 that controls calculations and the entire system based on a control program, a ROM 32 that stores a control program of the CPU 30 in a predetermined area in advance, and a ROM 32.
It is composed of a RAM 34 for storing the data read from the computer and the calculation result necessary for the calculation process of the CPU 30, and an I / F 38 for mediating the input / output of data to / from an external device. The buses 39, which are signal lines for transfer, are connected to each other and can exchange data.

The I / F 38 has, as external devices, a topical information registration DB 40 for registering topical information, an acquired article registration DB 42 for registering article information acquired via the network in a predetermined format, and topical information An extraction rule registration DB 44 for registering extraction rules and a signal line for connecting to the Internet 199 are connected. Also, I / F3
In 8, a newspaper article registration DB 50 for registering newspaper article information on newspaper articles, a magazine article registration DB 52 for registering magazine article information on magazine articles, and audio article information on audio articles such as news programs and radio broadcasts are registered. The voice article registration DB 54 is connected via a network.

As shown in FIG. 3, the topicality information registration DB 40 stores a topicality information registration table 500 for registering topicality information. FIG. 3 is a diagram showing a data structure of the topicality information registration table 500. In the topic information registration table 500, as shown in FIG. 3, one record can be registered for each topic information. Each record is configured to include a field 502 for registering a topicality keyword that can be a subject of topicality, and a field 504 for registering a topicality degree which is a degree of topicality regarding the topicality keyword.

In the example of FIG. 3, the first row record contains
“Ichiro information” is registered as the topic keyword and “0.7” is registered as the topic degree. This means that the topicality degree of the topical keyword “Ichiro information” is “0.7”. The degree of topicality is expressed by a value of 0 or more and 1 or less.

As shown in FIG. 4, the acquired article registration DB 42 stores an acquired article registration table 550 for registering the article information acquired via the network in a predetermined format. FIG. 4 is a diagram showing a data structure of the acquired article registration table 550. In the acquired article registration table 550, as shown in FIG. 4, one record can be registered for each article information. Each record registers a field 552 for registering the date and time when the content of the article was published, a field 554 for registering the resource of the article, a field 556 for registering the order in which the article was introduced in a program etc., and a headline of the article. A field 558 for registering the text of the article and a field 560 for registering the text of the article are included.

In the example of FIG. 4, the record in the first row is
"8/30 PM 7:30" as the date and time, "TV News: MHK" as the resource, and "1" as the order
, "Today's Market" is registered as the headline, and the text data A is registered as the body. this is,
Article information A that begins with the heading "Today's Market"
Means that it is related to the article introduced at the top (first) in the program "TV News: MHK" broadcast on "8/30 PM 7:30".

Newspaper article registration DB 50, magazine article registration DB
The article information acquired from 52 and the voice article registration DB 54 have various formats, but the acquired article registration DB 42 converts the article information into a format that can be stored in the acquired article registration table 550 and stores it. For example, when storing voice article information, voice recognition is performed based on the voice article information, and information to be registered in the fields 552 to 560 is extracted from the recognition result.

The extraction rule registration DB 44 stores the acquired article registration D.
The extraction rule for extracting the topical information from the article information of B42 is registered, and the extraction rule registration DB 44 corresponds to the extraction condition, the topical keyword, and the calculation method of the topical degree as shown in FIG. An extraction rule registration table 600 to be added and registered is stored. FIG. 5 is a diagram showing a data structure of the extraction rule registration table 600.

The extraction rule registration table 600 is designed to register a rule for calculating a topicality degree for a topical keyword by a predetermined calculation method when an extraction condition is satisfied, as shown in FIG. , One record can be registered for each extraction rule. In each record, a field 602 for registering the date and time for which an article whose content is disclosed at a predetermined date and time is set as an extraction target article is set as an extraction condition, and an article for a predetermined resource is set as an extraction condition for the resource Field 6 for registering
04, a field 606 for registering an article containing a predetermined keyword as an extraction condition, a field 606 for registering the keyword, a field 608 for registering a topic keyword, and a field for registering a method of calculating a topic degree. And 610.

In the example of FIG. 5, the record in the first row is
The date and time is "PM 7:00", the resource is "news program", the target keyword is "market or stock price or market", and the topic keyword is "stock price information".
However, “1 / x” (x is the order in which the target article was introduced in the program) is registered as the calculation method. This is “market”, “stock price” or “market” in the “news program” broadcasted at “PM 7:00” among the article information in the acquired article information registration DB 42.
It means that the degree of topicality about the topicality keyword “stock price information” is calculated by the calculation method “1 / x” with the article including the target keyword “is” as the target article. In this case, the degree of topicality regarding "stock price information" is calculated as the reciprocal of the order x in which the articles including the topicality keyword "stock price information" among the target articles were introduced in the program. Therefore, the smaller the order of introduction, the greater the topicality degree, and conversely, the larger the order of introduction, the smaller the topicality degree.

Next, the processing executed by the CPU 30 will be described with reference to FIG.
7 and FIG. 7. The CPU 30 includes a micro processing unit MPU, etc., and a ROM
A predetermined program stored in a predetermined area of 32 is activated, and the article information acquisition process and the topic information update process shown in the flowcharts of FIGS. 6 and 7 are executed in time division according to the program. There is.

First, the article information acquisition process will be described in detail with reference to FIG. FIG. 6 is a flowchart showing the article information acquisition processing. The article information acquisition process is a process of acquiring article information from the newspaper article registration DB 50, the magazine article registration DB 52, and the voice article registration DB 54 at predetermined time intervals (for example, one day). , Step S100, as shown in FIG.
It is designed to move to.

In step S100, the newspaper article registration DB
50, the process proceeds to step S102, newspaper article information is acquired from the newspaper article registration DB 50, and step S1
04, the acquired newspaper article information is converted into article information in a predetermined format, the process proceeds to step S106, the converted article information is registered in the acquired article registration table 550, and the process proceeds to step S108.

In step S108, the magazine article registration DB
52, the process proceeds to step S110, the magazine article information is acquired from the magazine article registration DB 52, and step S1
12, the acquired magazine article information is converted into article information in a predetermined format, the process proceeds to step S114, the converted article information is registered in the acquired article registration table 550, and the process proceeds to step S116.

In step S116, the voice article registration DB
54, the process proceeds to step S118, the voice article information is acquired from the voice article registration DB 54, and step S1
20, the voice recognition process is performed based on the acquired voice article information, the process proceeds to step S122, the recognition information output as a result of the voice recognition process is converted into article information in a predetermined format, and step S124. Then, the converted article information is registered in the acquired article registration table 550, and a series of processing is terminated and the original processing is restored.

Next, the topic information updating process will be described in detail with reference to FIG. FIG. 7 is a flowchart showing the topicality information update processing. The topic information update process is performed by the acquired article registration DB 42 every predetermined time (for example, one day).
Of the topicality information registration table 500 based on the calculated topicality degree, which is executed by the CPU 30, as shown in FIG. , And proceeds to step S200.

In step S200, the extraction rule is read from the extraction rule registration table 600, and in step S202
Then, it is determined whether or not there is article information in the acquired article information registration DB 42 that matches the extraction condition,
When it is determined that there is one that matches the extraction conditions (Ye
In step s), the process proceeds to step S204. Step S204
Then, by using the article information of the acquired article registration DB 42, the topicality degree of the topicality keyword is calculated by a predetermined calculation method, the process proceeds to step S206, and the topicality information registration is performed based on the calculated topicality degree. Of the degree of topicality in the table 500, the degree of topicality with respect to the same topicality keyword is updated, the process proceeds to step S208, and it is determined whether or not the processes of steps S202 to S208 have been completed for all extraction rules. When it is determined that the processing has been completed for all the extraction rules (Yes), the series of processing is ended and the original processing is restored.

On the other hand, when it is determined in step S208 that the processes of steps S202 to S208 have not been completed for all extraction rules (No), step S20 is performed.
Move to 0. On the other hand, when it is determined in step S202 that there is no article information in the acquired article information registration DB 42 that matches the extraction condition (No), step S20
Go to 8.

Next, the configuration of the priority information registration terminal 150 will be described in detail with reference to FIG. FIG. 8 is a functional block diagram showing the configuration of the priority information registration terminal 150.
As shown in FIG. 8, the priority information registration terminal 150 includes a CPU 56 that controls computation and the entire system based on a control program, a ROM 58 that stores a control program of the CPU 56 in a predetermined area in advance, and a ROM 58.
RAM 60 for storing the data read from the computer and the calculation result necessary for the calculation process of the CPU 56, and the I / F 62 for mediating the input / output of data to / from an external device. The buses 64, which are signal lines for transfer, are connected to each other and can exchange data.

In the I / F 62, as an external device, a priority information registration DB 66 for registering priority information regarding priority indicating which of user information and topical information is to be preferentially considered when selecting content data. , A signal line for connecting to the Internet 199 is connected. In the priority information registration DB 66, as shown in FIG. 9, a priority information registration table 62 for registering priority information.
0 is stored for each user. FIG. 9 is a diagram showing a data structure of the priority information registration table 620.

The priority information registration table 620 is adapted to register a rule that, when a request is made from the content distribution terminal 200, the priority information whose extraction conditions match is extracted. As shown in, one record can be registered for each priority information. Each record has a field 622 for registering a serial number,
A field 624 for registering the position of the user under the extraction condition that the priority information is extracted when the user is located at the predetermined position, and the extraction of the priority information when the user is performing the predetermined operation A field 626 for registering the operation as a condition, a field 628 for registering the date and time as the extraction condition that the priority information is extracted when the delivery date and time is a predetermined date and time, and a field 628 of all the content data selected It is configured to include a field 630 for registering a preference occupancy ratio occupied by those that are suitable for tastes or interests, and a field 632 for registering a topic occupancy ratio occupied by those that are suitable for topicality among all selected content data. ing.

In the example of FIG. 9, the second row record contains
The number is “2”, the position is “car”, the operation is “driving”, the date and time is “around 8:30 on weekday morning”, the preference occupation ratio is “0”, and the topicality occupation ratio is “1”. . ”Is registered. This means that when a user is in a vehicle and driving at around 8:30 on weekday mornings, when distributing digital content to the user, the preference occupation ratio is “0” and the topicality occupation ratio is “1.
The priority information set to “0” is the priority information registration table 6
It means that it is extracted from 20. In this case, since the preference occupancy rate is “0”, the user is provided with the digital content in which only the content suitable for the topicality is laid out.

Next, the processing executed by the CPU 56 is shown in FIG.
0 and FIG. 11 will be described. The CPU 56
R consisting of a micro processing unit MPU, etc.
A predetermined program stored in a predetermined area of the OM 58 is started, and the program shown in FIG.
The priority information registration process and the priority information extraction process shown in the flowchart of FIG.

First, the priority information registration process will be described in detail with reference to FIG. FIG. 10 is a flowchart showing the priority information registration processing. The priority information registration process is a process which is activated when a registration request for priority information is made from the mobile terminal 300 and registers the priority information in the priority information registration table 620 of the user relating to the registration request.
When executed by the CPU 56, first, as shown in FIG. 10, the process proceeds to step S250. In addition, hereinafter, all input in each step is performed by interactive communication with the user.

In step S250, the priority information is input, the process proceeds to step S252, the portable terminal position information is acquired from the relay station 320, the process proceeds to step S254, and the current time is acquired from a timer (not shown). In step S256, the input priority information is registered in the priority information registration table 620 in association with the position specified by the mobile terminal position information and the current time, and the series of processes is ended and the original process is completed. Return to.

Next, the priority information extraction processing will be described in detail with reference to FIG. FIG. 11 is a flowchart showing the priority information extraction processing. The priority information extraction process is a process that is activated when a request for acquiring priority information is received from the content distribution terminal 200, and extracts priority information from the priority information registration table 620 of the user relating to the acquisition request. When executed by the CPU 56,
First, as shown in FIG. 11, the process proceeds to step S260.

In step S260, the portable terminal position information is acquired from the relay station 320, the process proceeds to step S262, the current time is acquired from a timer (not shown), the process proceeds to step S264, and the priority information registration table 620 is obtained. The leading extraction condition is read out, and the process proceeds to step S266. In step S266, it is determined whether the position and the current time specified by the acquired mobile terminal position information satisfy the extraction condition, and when it is determined that the extraction condition is satisfied (Yes), the process proceeds to step S268. Then, the corresponding priority information is read from the priority information registration table 620, the process proceeds to step S270, the read priority information is transmitted to the content distribution terminal 200, and the process proceeds to step S272.

In step S272, all extraction conditions of the priority information registration table 620 are processed in step S2.
When it is determined whether or not the processes of 64-S270 have been completed, and it is determined that the processes have been completed for all the extraction conditions of the priority information registration table 620 (Yes), the series of processes is completed and the original process is completed. Return to. On the other hand, step S27
When it is determined that the processing of steps S264 to S270 has not been completed for all the extraction conditions of the priority information registration table 620 (No) in step 2, the process proceeds to step S274 and the priority information registration table 620 The extraction condition of is read, and the process proceeds to step S266.

On the other hand, when it is determined in step S266 that the position specified by the acquired mobile terminal position information and the current time do not satisfy the extraction condition (No), the process proceeds to step S272. Next, the content distribution terminal 200
The functional outline of will be described in detail with reference to FIG. FIG. 12 is a functional block diagram showing an outline of functions of the content distribution terminal 200.

As shown in FIG. 12, the content distribution terminal 200 inputs an XML parser 11 that analyzes the content data file 10 in the XML (eXtensible Markup Language) format and a content data file 10 that is analyzed by the XML parser 11. Data file input section 12 and layout definition file 13 in XML format
An XML parser 14 for analyzing a layout definition file, a layout definition file input section 15 for inputting a layout definition file 13 analyzed by the XML parser 14, and a layout based on the content data file 10 and the layout definition file 13 input by the input sections 12, 15. And an XML parser 18 for analyzing the drawing specification file 17 in the XML format from the layouting unit 16.
And the drawing specification file 17 analyzed by the XML parser 18.
PDF (Portable Doc) by drawing based on
and a rasterization unit 19 that creates a file 20 in the Ument Format format.

Next, the configuration of the content distribution terminal 200 will be described in detail with reference to FIG. FIG. 13 is a block diagram showing the configuration of the content distribution terminal 200.
As shown in FIG. 13, the content distribution terminal 200 includes a CPU 70 that controls computation and the entire system based on a control program, a ROM 72 that stores a control program of the CPU 70 in a predetermined area in advance, and a ROM 7.
It is composed of a RAM 74 for storing the data read out from the device 2 and the like and a calculation result necessary for the calculation process of the CPU 70, and an I / F 78 for mediating the input / output of the data to / from an external device. Are mutually connected by a bus 79, which is a signal line for transferring data.

The I / F 78 includes, as external devices, a user information registration DB 80 for registering user information, a content data registration DB 82 for collecting and accumulating content data provided from the content data providing terminals S _{1 to} S _n, and the Internet. The signal line for connecting to 199 is connected. Next, the data structure of the user information registration DB 80 will be described in detail with reference to the drawings.

The user information registration DB 80 stores a user profile table 650 for registering user information, as shown in FIG. FIG. 14 is a diagram showing a data structure of the user profile table 650.
In the user profile table 650, as shown in FIG. 14, one or more records can be registered for each user. Each record has a field 652 for registering a user ID for identifying a user and a field 65 for registering a delivery address of digital contents.
4, a field 660 for registering the distribution date, a field 662 for registering the distribution time, a field 664 for registering the layout number, a field 666 for registering the maximum number of pages, and a field 668 for registering the font size. It is configured to include.

In the field 660, the delivery date on which the user wishes to deliver the digital content is registered. As the distribution date, for example, specify "every day" if you want to distribute digital contents every day, specify "weekday" if you want to distribute only on weekdays, or "weekend" if you want to distribute only on weekends. Is specified. In the example of FIG. 14, “every day” is displayed in the field 66 in the first row of the field 660.
"Weekdays" are registered in the second row of 0, respectively.

In the field 662, the distribution time desired to distribute the digital contents on the distribution date designated by the user is registered. As the delivery time, for example, any time when one day is expressed by a 24-hour time from 0:00 to 23:00 is designated. In the example of FIG. 14, 5 o'clock is registered in the first row of the field 662, and 11 o'clock is registered in the second row of the field 662.

The field 664 contains a layout number for specifying the output layout of the digital contents.
To register. The layout number is, for example, a layout for specifying the output layout desired by the user.
Specify No. In the example of FIG. 14, the layout No. 2 is registered in the first row of the field 664, and the layout No. 5 is registered in the second row of the field 664. The layout number will be described in detail later.

In the field 666, the maximum number of pages, which is the upper limit when digital content is displayed or printed, is registered. As the maximum number of pages, for example,
In addition to specifying the maximum number of pages as the upper limit, it is possible to specify that the upper limit is not set by the notation "u". In the example of FIG. 14, two pages are registered in the first row of the field 666, and “u” is registered in the third row of the field 666.

In the field 668, the size of the font when the digital content is displayed or printed is registered. In the example of FIG. 14, “small” is registered in the first row of the field 668, and “normal” is registered in the third row of the field 668. Further, as shown in FIG. 15, in the user information registration DB 80, a preference degree registration table in which a preference keyword that can be a user's preference or interest and a preference degree that is the user's preference or interest are associated and registered. 700 is stored for each user. FIG. 15 is a diagram showing a data structure of the preference degree registration table 700.

In the preference degree registration table 700, as shown in FIG. 15, one record can be registered for each preference keyword. Each record is configured to include a field 702 for registering a preference keyword and a field 704 for registering a degree of preference for the preference keyword. In the example of FIG. 15, “Ichiro” is registered as the preference keyword and “0.9” is registered as the preference degree in the first record. this is,
This means that the degree of preference for the preference keyword “Ichiro” is “0.9”. The degree of preference is expressed by a value of -1 or more and 1 or less.

Further, in the user information registration DB 80, FIG.
As shown in FIG. 6, a plurality of layout definition files form01-fo that define the output layout of digital contents.
rm06, a layout number correspondence table 750 indicating the correspondence between the layout definition files form01 to form06 and the layout numbers are stored. FIG. 16 is a diagram showing a data structure of the layout definition file and the layout number correspondence table 750.

Layout definition files form01 to form06
Is, for example, a character information storage frame for storing character information, the size of the image included in the content data and the arrangement position in the print paper area, the font size, type and color of the character information, It defines the character spacing and line pitch, and the number, quality, size, and ratio of images, which are described in XML or the like.

In the layout number correspondence table 750,
As shown in FIG. 16B, one record is registered for each layout number. Each record is configured to include a field 752 in which the layout number is registered and a field 754 in which the file name of the layout definition file is registered. In the example of FIG. 16B, the first
The layout number "1" is added to the second row of records.
"Form01" is registered as the layout definition file name, and the layout is set in the second record.
“2” is registered as the No. and “form02” is registered as the layout definition file name.

Next, the processing executed by the CPU 70 is shown in FIG.
This will be described with reference to FIGS. CPU 70
R consisting of a micro processing unit MPU, etc.
A predetermined program stored in a predetermined area of the OM 72 is activated, and according to the program, the program shown in FIG.
The user registration process and the content distribution process shown in the flowchart of FIG. 8 are executed in a time-sharing manner.

First, the user registration process will be described in detail with reference to FIG. FIG. 17 is a flowchart showing the user registration process. The user registration process is a process of requesting a user who has accessed to input necessary user information such as a user ID, and registering the input user information in the user profile table 650.
When executed at 70, first, as shown in FIG. 17, the process proceeds to step S302. In addition, hereinafter, all input in each step is performed by interactive communication with the user.

In step S302, the user ID and password are input, the process proceeds to step S304, the delivery destination address is entered, the process proceeds to step S306, the delivery date and the delivery time are entered, and the process proceeds to step S308. . In step S308, enter the layout number,
Go to step S310, enter the maximum number of pages,
The process proceeds to step S312, the font size is input, the process proceeds to step S314, and steps S302 to
The user information input in S312 is registered in the user profile table 650, and a series of processes is ended and the original process is restored.

Next, the content distribution process will be described in detail with reference to FIG. FIG. 18 is a flowchart showing the content distribution process. The content distribution process is a process of distributing digital contents to the mobile terminal 300 by referring to the user profile table 650, and when executed in the CPU 70, first, FIG.
As shown in, the process moves to step S400. Note that, hereinafter, the processing of each step is processing for one record of the user profile table 650. Actually, the user profile table 65
The processing of each step is executed by the number of records registered in 0.

In step S400, the delivery date and delivery time are read from the user profile table 650,
In step S402, it is determined whether or not the digital content should be distributed based on the read distribution date and distribution time, and when it is determined that the digital content should be distributed (Yes), , Step S
Moves to 404, but when it is determined that it is not (No)
Moves to step S400.

In step S404, the preference keyword and the preference degree are read from the preference degree registration table 700, the process proceeds to step S406, and the topicality keyword and the topicality degree are acquired from the topicality information registration terminal 100,
The process proceeds to step S407, the priority information about the user to be distributed is acquired from the priority information registration terminal 150, the process proceeds to step S408, the content data is read from the content data registration DB 82, and the process proceeds to step S410. .

In step S410, a preference value indicating the degree of the user's preference or interest in the read content data is calculated based on the read preference keyword and the degree of preference. Specifically, a morpheme analysis is performed on the read content data X, the number c (w) of the preference keywords w included in the analyzed morpheme group is calculated,
According to the following formula (1), the degree of preference p is added to the calculated number c (w).
The preference value P (X) for the content data X is calculated by multiplying (w) and adding the multiplication results for all the preference keywords.

[0112]

[Equation 1]

In the above equation (1), p (w) indicates the degree of preference for the preference keyword w. For example, when the preference keyword w is “Nakada”, and p (Nakada) = 1.0 and c (Nakada) = 2, 1.0 × 2 = 2.0 is P
It is added to (X). Next, the process proceeds to step S412, and a topicality value indicating the degree of topicality of the read content data is calculated based on the read topicality keyword and the degree of topicality. Specifically, morpheme analysis is performed on the read content data X, and the number c of topical keywords w included in the analyzed morpheme group c
(w) is calculated, and the calculated number c (w) is calculated by the following equation (2).
Is multiplied by the topicality degree t (w), and the multiplication result is added for all the topicality keywords to calculate the topicality value T (X) for the content data X.

[0114]

[Equation 2]

In the above equation (2), t (w) represents the degree of topicality of the topical keyword w. For example, if the topicality keyword w is “Ichiro”, and t (Ichiro) = 0.7 and c (Ichiro) = 3, 0.7 × 3 = 2.1 is added to T (X). Next, the process proceeds to step S414, and a compatible value for the read content data is calculated based on the calculated preference value and topicality value. Specifically, the weighting factor A corresponding to the topical occupation ratio included in the priority information acquired in step S407 is multiplied by the topicality value T (X) for the content data X by the following equation (3). , The weighting coefficient B according to the preference occupancy ratio included in the priority information acquired in step S407 is set to the preference value P (X) for the content data X.
To calculate the compatible value U (X) for the content data X.

[0116]

[Equation 3]

Then, the process proceeds to step S416, it is determined whether or not the processes of steps S408 to S414 have been completed for all the content data in the content data registration DB 82, and it is determined that the processes have been completed for all the content data. If yes, step S4
In step 18, the predetermined number of content data are selected from the content data registration DB 82 in descending order of matching value, and the process proceeds to step S420.

In step S420, the layout number is read from the user profile table 650, the process proceeds to step S422, the layout number correspondence table 750 is referenced, and the layout definition file corresponding to the read layout number is set in the user information. After reading from the registration DB 80, the process proceeds to step S424, and based on the read layout definition file, step S418
An automatic layout process for determining an output layout and creating digital contents is executed using the contents data selected in step S426.

In step S426, the delivery destination address is read from the user profile table 650, the process proceeds to step S428, the created digital content is delivered to the read delivery destination address, and a series of processing is terminated to restore the original content. Return to processing. On the other hand, step S
If it is determined in 416 that the processes of steps S408 to S414 have not been completed for all the content data in the content data registration DB 82 (No), the process proceeds to step S408.

Next, the operation of the above embodiment will be described with reference to the drawings. First, a case of registering information necessary for distributing digital contents will be described. When the user wants to distribute the digital content, the user accesses the content distribution terminal 200 with the WWW browser on the mobile terminal 300 and inputs a user registration request.

When the user registration request is input in the mobile terminal 300, the user is requested to input necessary user information by communicating with the content distribution terminal 200. Here, when the user inputs a user ID, a password, a delivery destination address, a delivery date, a delivery time, a layout No., a maximum page number, and a font size as user information in response to the input request, the user information is It is transmitted to the content distribution terminal 200.

When the content distribution terminal 200 receives the user information in response to the registration request, steps S302-
The received user information is registered in the user profile table 650 through S314. Next, the user accesses the priority information registration terminal 150 with the WWW browser in the mobile terminal 300, and inputs a priority information registration request.

In the portable terminal 300, when a priority information registration request is input, communication with the priority information registration terminal 150 causes an input screen in which priority information can be set by a slide bar as shown in FIG. Is displayed. Here, for example, when the user wants the content of the digital content to be half-matched to his / her taste and interest and half-matched to the topicality, as shown in FIG. Set the slide bar at the position. Further, for example, when it is desired to minimize the degree of conforming to the taste or interest of the digital content and maximize the degree of conforming to the topicality, the content of the digital content conforms to the topicality as shown in FIG. Set the slide bar at the leftmost position that indicates the maximum value of FIG. 19 is a diagram showing an input screen for setting priority information.

In the portable terminal 300, when the priority information is input in this way, the input priority information is transmitted to the priority information registration terminal 150. Priority information registration terminal 15
In 0, when the priority information is received along with the registration request, the mobile terminal position information and the current time are acquired through steps S250 to S256, and the received priority information indicates the position and the position specified by the mobile terminal position information. It is registered in the priority information registration table 620 in association with the current time.

Next, the case where the topic information in the topic information registration DB 40 is updated will be described. Topic information registration terminal 10
At 0, the article information acquisition process is executed every predetermined time,
Article information is acquired from the newspaper article registration DB 50, the magazine article registration DB 52, and the voice article registration DB 54. First, through steps S100 to S106, the newspaper article registration DB5
0, the newspaper article information is acquired from the newspaper article registration DB 50, the acquired newspaper article information is converted into article information in a predetermined format, and the converted article information is registered in the acquired article registration table 550.

Next, through steps S108 to S114, the magazine article registration DB 52 is connected to the magazine article registration DB 52.
The magazine article information is acquired from 52, the acquired magazine article information is converted into article information in a predetermined format, and the converted article information is registered in the acquired article registration table 550. Then, through steps S116 to S124, the voice article registration DB 54 is connected, voice article information is acquired from the voice article registration DB 54, voice recognition processing is performed based on the acquired voice article information, and the result of the voice recognition processing is obtained. The recognition information output as is converted into article information in a predetermined format, and the converted article information is registered in the acquired article registration table 550.

As described above, in the acquired article registration DB 42,
Article information from the newspaper article registration DB 50, the magazine article registration DB 52, and the audio article registration DB 54 is regularly supplied,
The latest article information can be retained. The topicality information is updated by executing the topicality information update process every predetermined time. First, steps S200 and S2
After 02, the extraction rule is read from the extraction rule registration table 600, and it is determined whether or not there is article information in the acquired article information registration DB 42 that matches the extraction condition. At this time, if there is article information that matches the extraction condition, through steps S204 and S206, the article information of the acquired article registration DB 42 is used to calculate the topicality degree of the topical keyword by a predetermined calculation method, and the calculation is performed. Based on the degree of topicality, the degree of topicality of the same topicality keyword in the degree of topicality in the topicality information registration table 500 is updated. For example, when a new topicality degree is calculated for the topicality keyword “Ichiro information”, the topicality information registration table 500.
In, the topicality degree for the topicality keyword “Ichiro information” is updated to the calculated topicality degree.

Next, the case of distributing digital contents will be described. The content distribution terminal 200 refers to the user profile table 650, and when the date and time at which the digital content should be distributed is reached, first, step S4.
Through 04 to S407, the preference keyword and the preference degree are read from the preference degree registration table 700, and the topicality keyword and the topicality degree are acquired from the topicality information registration terminal 100, and the priority information about the users to be distributed. Is acquired by the priority information registration terminal 150.
Sent to.

Upon receiving the priority information acquisition request, the priority information registration terminal 150 receives steps S260 to S26.
After 6, the mobile terminal location information and the current time are acquired,
Priority information registration table 620 of the user relating to the acquisition request
The extraction conditions are sequentially read from the top, and it is determined whether the position and the current time specified by the acquired mobile terminal position information satisfy the extraction conditions. As a result, if it is determined that the extraction condition is satisfied, step S26
8, the corresponding priority information is read from the priority information registration table 620. For example, when the current time is about 8:30 on weekdays and the user is currently in the vehicle and is driving, in the example of FIG. 9, the preference occupancy rate is “0” and the topicality occupancy rate is “1.0”. The priority information set to “” is read from the priority information registration table 620. Then, through step S270, the read priority information is transmitted to the content distribution terminal 200.

When the content distribution terminal 200 receives the priority information, the content data is read from the content data registration DB 82 through step S408. Next, through steps S410 and S412, the preference value for the content data is calculated by the above equation (1) based on the preference keyword and the preference degree read out, and the acquired topical keyword and topicality are calculated. Based on the degree, the topicality value for the content data is calculated by the above equation (2). Then, through step S414, a compatible value for the content data is calculated based on the calculated preference value and topicality value. The conformance value for the content data is the above formula (3).
Thus, the preference value is multiplied by the coefficient B corresponding to the preference occupancy rate included in the acquired priority information, and the topicality value is multiplied by the coefficient A corresponding to the topic occupancy rate included in the acquired priority information. Then, it is calculated by adding the multiplication results.

Then, after repeating steps S408 to S416, the calculation of the compatible value is performed in the content data registration DB.
This is done for all 82 content data. When the compatible values are calculated for all the content data, the content data registration D is performed through step S418.
From B82, a predetermined number of content data are selected in descending order of matching value. And step S420
Through S424, user profile table 650
The layout number is read from the layout number and the layout number corresponding to the read layout number is referred to by referring to the layout number correspondence table 750.
The layout definition file corresponding to is user information registration D
Based on the layout definition file read from B80, the output layout is determined using the selected content data, and the digital content is created.

The created digital contents are delivered to the delivery destination address read from the user profile table 650 through steps S426 and S428. In this way, in the present embodiment, the content distribution terminal 200 acquires the priority information regarding the priority indicating which of the user information and the topicality information is to be preferentially considered, and the user of the user information registration DB 80. Information, topic information in the topic information registration DB 40, and content data is selected from the content data registration DB 82 based on the acquired priority information, and an output layout is determined using the selected content data to create digital content. It is supposed to do.

As a result, since both the information about the user and the topicality are referred to regarding the selection of the content data, it is possible to create the digital content that is relatively in line with the user's wish while securing the topicality. . Further, depending on the setting of the priority information, the degree of conformity of the digital content with the user information can be increased, and the degree of conformity with the topicality can be increased. Therefore, it is possible to provide information in consideration of both the user's preference and interest and objective topicality, and it is possible to relatively reflect the user's wishes regarding the importance of the information.

Further, in the present embodiment, the content distribution terminal 200, based on the user information in the user information registration DB 80 and the topic information in the topic information registration DB 40,
Content data suitable for the user's taste or interest and topicality is selected from the content data registration DB 82, and based on the acquired priority information, the content data suitable for the user's taste or interest and the topicality. It adjusts the ratio with the content data that was created.

As a result, since the user's preference or interest and topicality are both referred to in selecting the content data, it is possible to create digital content having a content that further meets the user's wish while securing the topicality. it can. Further, depending on the setting of the priority information, it is possible to increase the proportion of the content data that matches the user's tastes and interests, or increase the proportion of the content data that matches the topicality, for all the selected content data. You can also

Furthermore, in the present embodiment, the content distribution terminal 200 reads the content data from the content data registration DB 82, and based on the read content data and the user information in the user information registration DB 80, the user of the content data is read. A preference value indicating the degree of preference or interest is calculated, and based on the read content data and the topicality information of the topicality information registration DB 40, a topicality value indicating the degree of topicality of the content data is calculated and acquired. Based on the priority information, the calculated preference value and topicality value are respectively weighted to calculate compatible values, and other content data in the content data registration DB 82 are also read out, the preference value is calculated, The topicality value and the conformance value are calculated, and the content And to select the order of decreasing suitability value data.

This makes it possible to adjust the ratio of the degree of importance between the user's preference or interest and topicality, so that the user who wants to emphasize the topicality or conversely the user's preference or interest is important. Even a user who wants to view can create digital content having a content relatively in line with the desire.
Furthermore, in the present embodiment, the content distribution terminal 200
Is based on the user information in the user information registration DB 80,
The output layout of the digital content is decided to create the digital content.

As a result, since the user's unique information and the user's designation information are referred to in determining the output layout, it is possible to create digital contents with an output layout that is relatively in line with the user's wishes. Furthermore, in the present embodiment, the priority information registration terminal 150
Acquires the mobile terminal position information and the current time, and searches the priority information registration DB 66 for the priority information about the current situation of the user based on the acquired mobile terminal position information and the current time. ing.

As a result, the degree of conformity of the contents of the digital contents to the user information or the degree of topicality can be adjusted by the priority according to the current situation of the user. Furthermore, in the present embodiment, the priority information registration terminal 150 inputs priority information in response to a registration request from the mobile terminal 300, and the input priority information indicates the position and position specified by the mobile terminal position information. The priority information is registered in the priority information registration DB 66 in association with the current time.

Thus, it is only necessary to input the priority information in order to provide information according to the current situation of the user.
Furthermore, in the present embodiment, the topicality information registration terminal 100
Acquires article information from the newspaper article registration DB 50, magazine article registration DB 52, and audio article registration DB 54, extracts topical information from the acquired article information based on a predetermined extraction rule, and based on the extracted topical information The topic information in the topic information registration DB 40 is updated.

As a result, the topicality information is updated based on the article information, so that the topicality information that is relatively in line with the situation can be secured as the topicality information. Therefore, it is possible to create a digital content having a content relatively in line with the user's wish while securing the topicality relatively in line with the situation. Further, in the present embodiment, the topicality information registration terminal 100 includes the newspaper article registration DB 50 and the magazine article registration DB.
52 and the article information acquired from the voice article registration DB 54 are converted into article information of a predetermined format, and the converted article information is registered in the acquisition article registration table 550.

As a result, steps S200 to S208 are performed.
Since the processing of can be unified, even if the corresponding article registration DB is increased, decreased or changed, it is only necessary to change the design of the article format conversion processing, and steps S200 to S2.
It is not necessary to change the design of the processing of 08. Therefore, it is possible to cope with increase, decrease, or change of the article registration DB relatively easily.

In the above-mentioned embodiment, the topicality information registration DB 40 is the other target information storage means according to claim 2 or 3, or claim 3, 4, 9, 11, 13 or 20.
Corresponding to the topic information storage means described, extraction rule registration DB
44 corresponds to the extraction rule storage means according to claim 14,
The newspaper article registration DB 50, the magazine article registration DB 52, and the voice article registration DB 54 correspond to the article information storage means according to claim 13 or 20. Also, the priority information registration DB
66 corresponds to the priority information storage means according to claim 5, 6 or 8, and the user information registration DB 80 corresponds to claim 2, 4,
The content data registration DB 82 corresponds to the user information storage means described in 9 or 11 and claims 1, 2, 4, 5,
It corresponds to the content data storage means described in 9, 22 to 24.

In addition, in the above embodiment, the relay station 3
Reference numeral 20 corresponds to the position information generating means according to claim 8, steps S100 to S124 correspond to the article information acquiring means according to claim 13 to 15, or step S10.
4, S112 and S122 correspond to the article format conversion means described in claim 20. In addition, steps S200 to S
Reference numeral 204 corresponds to the topicality information extracting means described in claims 13 to 15 or 20, and step S206 corresponds to claim 13.
Corresponding to the described topical information updating means, step S250
Corresponds to the priority information input means described in claim 6, and steps S252, S254, S260 and S262 correspond to the status information acquisition means described in claim 5, 6 or 8.

Further, in the above-mentioned embodiment, step S256 corresponds to the priority information registration means described in claim 6, steps S264 to S268 correspond to the priority information search means described in claim 5, and step S407 corresponds to the priority information acquisition unit according to claim 2, 4, 5, 9 or 10, and steps S410 to S414, S418 correspond to claim 1, 2, 4, 9 to 11, 22 or 23. This corresponds to the content selecting means or the content selecting step described in claim 24. Also, step S420
~ S424 corresponds to the content creation means according to claim 1, 2 or 23, or the content creation step according to claim 24, and the topicality information is the content creation step according to claims 1 to 3, 22.
24 to 24, the mobile terminal position information and the current time correspond to the situation information described in claim 5, 6 or 8.

Further, in the above embodiment, the preference keyword corresponds to the representative preference target information described in claim 11 or 12, and the topicality keyword corresponds to the representative topicality target information described in claim 11, 12 or 15. It corresponds. In addition,
In the above embodiment, the priority information registration terminal 150
Inputs priority information in response to a registration request from the mobile terminal 300, and registers the input priority information in the priority information registration DB 66 in association with the position specified by the mobile terminal position information and the current time. However, the present invention is not limited to this, and the priority information and the information regarding the position, time, and operation desired to be applied are input in response to the registration request from the mobile terminal 300, and the priority information is obtained based on the input information. It may be configured to be registered in the priority information registration DB 66 in association with the position, time and operation.

Thus, the user and others can register in the priority information registration DB 66. In this case, the priority information registration DB 66 corresponds to the priority information storage means described in claim 7, step S250 corresponds to the priority information input means described in claim 7, and step S250
Reference numeral 256 corresponds to the priority information registration means described in claim 7, and the mobile terminal position information and the current time correspond to the situation information described in claim 7.

Further, in the above-mentioned embodiment, although the automatic acquisition of the user's current operation is not described, for example, by the input from the user, the home electric appliance or the computer in the vehicle, , You can get what you are eating or driving now. This can be easily linked by JAVA (registered trademark) or the like.

Further, in the above embodiment, the priority information registration terminal 150 inputs the priority information in response to the registration request from the mobile terminal 300, and the input priority information is specified by the mobile terminal position information. It is configured to be registered in the priority information registration DB 66 in association with the position and the current time. However, when the priority information is registered for the same position and time at the time of registration, for example, a weighted average It is preferable that the registration is performed while taking the priority information of the past into consideration, for example.

Further, in the above embodiment, the content distribution terminal 200 is configured to calculate the preference value and the topicality value separately, but the present invention is not limited to this, and the topicality value and the priority information are considered. The preference value may be calculated by calculating the topicality value in consideration of the preference value or the priority information. In this way, it is possible to select information that is more suitable to the user's wish by considering both of them instead of simply calculating them separately.

In the above embodiment, the number c (w) of the preference keywords w is used as a multiplier of the preference degree p (w) in calculating the preference value P (X). , The ratio of the preference keyword w included in the morpheme group, TF-IDF and other indexes can be adopted. Further, in the above-described embodiment, when calculating the topicality value T (X), the number c (w) of topicality keywords w is adopted as a multiplier of the topicality degree t (w), but instead of this, , Ratio of topical keywords w included in the morpheme group, TF
-IDF and other indicators can be adopted.

In the above embodiment, the degree of topicality is calculated in step S204 as the reciprocal of the order x in which the article containing the topical keyword is introduced in the program, but the invention is not limited to this. The ratio or the number of topical keywords included in the article may be calculated, and the degree of topicality may be calculated based on the calculated ratio or the number.

In this case, steps S100-S
Reference numeral 124 corresponds to the article information acquisition unit described in claim 16, and the topicality keyword corresponds to the representative topicality target information described in claim 16. Further, in the above embodiment, the topicality degree is calculated in step S204 as the reciprocal of the order x in which the article including the topicality keyword is introduced in the program. However, the present invention is not limited to this.
The calculation may be performed as a logarithm of the order x.

Also, in the above embodiment, topicality
The degree of topicality of the information registration table 500 was newly calculated.
Although it is configured to update the topic level, it is not limited to this
No, the newly calculated topicality is F (X), the topic before update
The degree of sex is P_old(X), and topic information registration table 50
If 0 is updated once a day, the degree of topicality P after the update will be
_newEven if it is configured such that (X) is calculated by the following equation (4)
Good. Here, "0.1" and "10" are required coefficients
Yes, there is no limitation to this value.

[0155]

[Equation 4]

According to the above equation (4), if F (X) is "0" for 10 consecutive days, that is, if the article containing the topical keyword does not exist for 10 consecutive days, the topic is The degree of topicality P _new (X) about sex keywords is
It becomes "0". As a result, it is possible to relatively accurately collect the topicality that changes day by day, and thus it is possible to create digital content having a content that further secures topicality in accordance with the situation.

In this case, the topic information registration DB 4
0 corresponds to the topicality information storage means according to claim 17,
Steps S200 to S204 correspond to the topicality information extracting means described in claims 17 to 19. Further, although the mobile terminal 300 is used as a moving body in the above-described embodiment, the present invention is not limited to this, and a PDA, a notebook computer, a car navigation system, or the like may be used as a moving body.

Further, in the above embodiment, the digital content such as news is distributed to the portable terminal 300, but the present invention is not limited to this, and the PDA, the notebook personal computer, the desktop personal computer, the printer, the car navigation system or the like can be used. It may be configured to be delivered. Further, in the above embodiment, the mobile terminal 300
The mobile terminal position information for identifying the current position of the mobile terminal is acquired and the digital content such as news is distributed to the mobile terminal 300 based on the acquired mobile terminal position information. However, the present invention is not limited to this. Terminal 300, PD
A, a laptop computer, a car navigation system, or the like is used as a moving body to acquire its position information, and based on the acquired position information, another terminal used by the user of the mobile terminal 300 (for example, another mobile terminal, PDA, notebook). The digital content may be distributed to a personal computer, desktop personal computer, printer or car navigation system).

In the above embodiment, the priority information of the user is registered in the priority information registration DB 66 and the priority information is acquired from the priority information registration DB 66. However, the present invention is not limited to this. The priority information may be acquired from the user's schedule or the like managed on the PDA or the mobile terminal. In this case, information equivalent to the registered content of the priority information registration table 620 is registered in the user's schedule or the like.

Further, in the above embodiment, the user information and the topicality information are expressed by associating the keyword with the numerical value. However, the present invention is not limited to this, and the numerical value associated with the keyword is stochastically calculated. It may be provided or may be directly designated by the user. Further, in the above embodiment, the user information and the topicality information are expressed by associating the keyword with the numerical value, but the present invention is not limited to this, and may be expressed by a vector such as a feature vector, It may be displayed by a probabilistic model such as a hidden Markov model. In this case, the content data is selected by vector calculation.

In the above embodiment, the operation of the user information registration DB 80 and the topic information registration DB 40 was not particularly explained, but the user information registration DB 80 is not described.
The person who operates (for example, an administrator or an owner) and the person who operates the topicality information registration DB 40 may be different persons. That is, the system having the user information registration DB 80 has a topicality information registration DB 4 operated by another person.
0 can also be used, and conversely the topicality information registration DB
The system having 40 can also use the user information registration DB 80 operated by another person. This is not limited to between the user information registration DB 80 and the topic information registration DB 40, but the topic information registration DB 40 and the extraction rule registration DB 4 are also included.
4, the newspaper article registration DB 50, the magazine article registration DB 52, the voice article registration DB 54, the priority information registration DB 66, the user information registration DB 80, and the content data registration DB 82 are the same.

In the above embodiment, the user information registration DB 80 and the topic information registration DB 40 are edited and
I didn't explain about the modification, but user information registration D
B80 can be edited / corrected by a user who receives the service or a service provider who provides the service, and the topicality information registration DB 40 can be directly edited / corrected by a third party or another service. It can also be configured as follows. In this case, the user information registration DB 80 belongs to the possession of the service provider, and the topicality information registration DB 40
Is assumed to belong to the possession of another person.

In the above embodiment, the article information is acquired from the newspaper article registration DB 50, the magazine article registration DB 52 and the voice article registration DB 54.
Not limited to this, of course, the article information may be acquired from a DB other than those. In addition, in preparation for the broadband era, it is assumed that broadcasting information such as television programs and radio programs will flow on the network as streaming data, so that it is possible to handle such cases.
The configuration is not limited to the acquisition of article information from a DB, and streaming data flowing on a network may be acquired as article information.

Further, in the above embodiment, the topicality information registration terminal 100 is constructed by providing the topicality information registration DB 40, the acquired article registration DB 42 and the extraction rule registration DB 44, but the present invention is not limited to this, and topicality information registration is possible. The DB 40, the acquired article registration DB 42, or the extraction rule registration DB 44 may be provided in another terminal on the network and used.

Further, in the above-mentioned embodiment, the content distribution terminal 200 is configured by providing the user information registration DB 80 and the content data registration DB 82, but the present invention is not limited to this, and the user information registration DB 80 or the content data registration DB 82 may be provided on the network. It may be provided in another terminal and used. Further, in the above embodiment, the newspaper article registration DB 50, the magazine article registration DB
Although the 52 and the voice article registration DB 54 are provided in another terminal of the network, the present invention is not limited to this, and may be provided in the topicality information registration terminal 100.

In the above embodiment, the output layout of the digital contents is determined based on the user information. However, the present invention is not limited to this, and the number of images included in the contents data or the contents data is included in the contents data. The output layout of the digital content may be determined based on the amount of character information to be output.

As a result, even if the number of images included in the content data or the amount of character information included in the content data is large, or vice versa, the output layout can be made relatively easy to see. Further, in the above embodiment, the layout processing of steps S420 to S424 is configured to be executed by the content distribution terminal 200, but the present invention is not limited to this, and the layout processing is configured to be executed by the mobile terminal 300. Good.

As a result, it is possible to reduce the concentration of processing load on the content distribution terminal 200. Also,
In the above-described embodiment, in executing the processes shown in the flowcharts of FIGS.
Although the case of executing the control program stored in advance in 32 has been described, the present invention is not limited to this, and the program may be read into the RAM 34 from the storage medium in which the program showing these procedures is stored and executed. Good.

Further, in the above-mentioned embodiment, the case where the control program stored in advance in the ROM 72 is executed has been described in executing the processes shown in the flowcharts of FIGS. 17 to 18.
However, the present invention is not limited to this, and the program may be read into the RAM 74 from a storage medium that stores a program indicating these procedures and executed.

Here, the storage medium is a semiconductor storage medium such as RAM or ROM, a magnetic storage type storage medium such as FD or HD, an optical reading type storage medium such as CD, CDV, LD or DVD, or MO or the like. The magnetic storage type / optical reading type storage medium includes any storage medium as long as it is a computer-readable storage medium regardless of a reading method such as electronic, magnetic, or optical.

In the above embodiment, the case where the digital content creating system, the content data selecting system, the digital content creating program, and the digital content creating method according to the present invention are applied to the network system including the Internet 199 will be described. However, not limited to this, for example,
It may be applied to a so-called intranet that communicates by the same method as the Internet 199. Of course, the present invention can be applied to not only a network that communicates in the same manner as the Internet 199 but also a normal network.

Further, in the above embodiment, the digital content creating system, the content data selecting system, the digital content creating program, and the digital content creating method according to the present invention are shown in FIG.
As shown in FIG. 5, the content distribution terminal 200 is applied to the case where digital content such as news is distributed to the mobile terminal 300. Is.

[0173]

As described above, according to the digital content creation system of claims 1 to 9 and 11 to 20 of the present invention, the information regarding the user regarding the selection of the content data and the information regarding the object other than the user are displayed. Since both are referred to, it is possible to create digital content having a content relatively in line with the user's wishes while securing information regarding objects other than the user, as compared with the related art. Further, depending on the setting of the priority information, the degree of conformity of the digital content with the user information can be increased, and the degree of conformity with the other target information can be increased. Therefore, it is possible to provide information in consideration of both the user's preferences and interests and targets other than the user, and it is possible to relatively reflect the user's wishes regarding the importance of the information.

Further, according to the digital content creation system of claims 3 to 20 according to the present invention, since both the information and the topicality regarding the user regarding the selection of the content data are referred to, the topicality is ensured. It is possible to create digital content that is relatively in line with the user's wishes. In addition, depending on the setting of the priority information, it is possible to increase the degree of conformity of the digital content with the user information,
It is also possible to increase the degree of adaptability to topicality. Therefore, it is possible to provide information in consideration of both the user's preference and interest and objective topicality, and it is possible to relatively reflect the user's wishes regarding the importance of information.

Further, according to the digital content creation system of the fourth aspect of the present invention, since the user's preference or interest and topicality are referred to in selecting the content data, while maintaining topicality. It is also possible to obtain the effect that it is possible to create a digital content that is more in line with the wishes of the user. Further, depending on the setting of the priority information, it is possible to increase the proportion of the content data that matches the user's tastes and interests, or increase the proportion of the content data that matches the topicality, for all the selected content data. The effect of being able to do is also obtained.

Further, according to the digital content creation system of the fifth aspect of the present invention, the degree of conformity of the content of the digital content to the user information or the degree of topicality can be determined based on the present or future of the user. There is also an effect that the priority can be adjusted according to the situation. Further, according to the digital content creation system of the sixth aspect of the present invention, it is possible to obtain the effect that it is only necessary to input the priority information to provide information according to the present or future situation of the user.

Further, according to the digital content creation system of the seventh aspect of the present invention, there is an effect that the user and others can register in the priority information storage means. Further, claim 9 according to the present invention
According to the digital content creation system of any one of claims 1 to 12, it is possible to adjust the degree of importance of the preference or interest of the user and the topicality, so that the user who wants to emphasize the topicality or conversely his or her preference. Even for a user who wants to attach importance to those who are interested, it is possible to obtain the effect that the digital content having a content relatively in line with the desire can be created.

[0178] Further, claims 13 to 20 according to the present invention.
According to the described digital content creation system, since the topicality information is updated, it is possible to create the digital content having the content relatively in line with the user's wish while securing the topicality relatively in line with the situation. The effect is also obtained. Furthermore, according to the digital content creation system of the 17th to 19th aspects of the present invention, the topicality that changes day by day can be collected relatively accurately, so that the topicality further in line with the situation is secured. At the same time, it is possible to obtain the effect that it is possible to create digital content having contents that are relatively in line with the user's wishes.

Furthermore, claim 18 or 19 according to the present invention.
According to the described digital content creation system, it is possible to more accurately collect the topicality that changes from day to day, so that it is possible to create digital content that has more topicality in line with the situation. Can also be obtained. Furthermore, according to the digital content creation system of claim 19 of the present invention, it is possible to more accurately collect the topicality that changes day by day, so that the digital content of which the topicality is further secured according to the situation The effect that content can be created is also obtained.

Further, according to the digital content creation system of claim 20 of the present invention, the topic information extracting means and the topic information updating means can be integrated, so that the corresponding article information storing means can be provided. Even if the number is increased, decreased, or changed, only the design of the article format conversion means needs to be changed, and the topic information extraction means and the topic information update means need not be changed in design. Therefore, the effect that the increase, decrease, or change of the article information storage means can be dealt with relatively easily is also obtained.

Further, according to the digital content creation system of the twenty-first aspect of the present invention, the user registers the schedule in the schedule or the like, so that the content data is relatively prioritized to the user's schedule. It is also possible to obtain the effect that can be selected. On the other hand, according to the content data selection system of claim 22 of the present invention, both the information about the user and the information about the object other than the user are referred to in selecting the content data. When applied to, it is possible to create digital content having a content that is relatively in line with the user's wishes while securing information regarding objects other than the user, as compared with the related art. Further, depending on the setting of the priority information, the degree of conformity of the digital content with the user information can be increased, and the degree of conformity with the other target information can be increased. Therefore, it is possible to provide information in consideration of both the user's preferences and interests and targets other than the user, and it is possible to relatively reflect the user's wishes regarding the importance of the information.

On the other hand, according to the digital content creating program of the twenty-third aspect of the present invention, the same effect as that of the digital content creating system of the first aspect can be obtained. On the other hand, according to the digital content creation method of the twenty-fourth aspect of the present invention, the same effect as that of the digital content creation system of the first aspect can be obtained.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration of a network system to which the present invention is applied.

FIG. 2 is a functional block diagram showing a configuration of a topicality information registration terminal 100.

FIG. 3 is a diagram showing a data structure of a topicality information registration table 500.

FIG. 4 is a diagram showing a data structure of an acquired article registration table 550.

5 is a diagram showing a data structure of an extraction rule registration table 600. FIG.

FIG. 6 is a flowchart showing article information acquisition processing.

FIG. 7 is a flowchart showing topicality information update processing.

8 is a functional block diagram showing the configuration of a priority information registration terminal 150. FIG.

9 is a diagram showing a data structure of a priority information registration table 620. FIG.

FIG. 10 is a flowchart showing priority information registration processing.

FIG. 11 is a flowchart showing priority information extraction processing.

12 is a functional block diagram showing an outline of functions of the content distribution terminal 200. FIG.

FIG. 13 is a block diagram showing a configuration of a content distribution terminal 200.

FIG. 14 is a diagram showing a data structure of a user profile table 650.

FIG. 15 is a diagram showing a data structure of a preference degree registration table 700.

16] Layout definition file and layout N
It is a figure which shows the data structure of o. correspondence table 750.

FIG. 17 is a flowchart showing a user registration process.

FIG. 18 is a flowchart showing a content distribution process.

FIG. 19 is a diagram showing an input screen for setting priority information.

[Explanation of symbols]

10 Content Data File 11, 14, 18 XML Parser 12 Content Data File Input Section 13 Layout Definition File 15 Layout Definition File Input Section 16 Layouting Section 17 Drawing Designation File 19 Rasterization Section 100 Topic Information Registration Terminal 150 Priority Information Registration Terminal 200 content distribution terminal 300 mobile terminal 310 base station 320 relay station S ₁ to S _n content data providing terminal 30,56,70 CPU 32,58,72 ROM 34,60,74 RAM 38,62,78 I / F 40 topics Sex information registration DB 42 Acquisition article registration DB 44 Extraction rule registration DB 50 Newspaper article registration DB 52 Magazine article registration DB 54 Voice article registration DB 66 Priority information registration DB 80 User information registration DB 82 Content data registration DB 500 Topic information registration table 550 Acquisition article registration table 600 Extraction rule registration table 620 Priority information registration table 650 User profile table 700 Preference degree registration table 750 Layout No. correspondence table

Claims (24)

[Claims] 1. When content data storage means for storing content data becomes available, the content data is selected from the content data storage means and digital content is created using the selected content data. The system is based on user information about a user, other target information about a target other than the user, and priority information about priority indicating which of the user information and the other target information is to be preferentially considered. The content data storage means includes a content selection means for selecting the content data, and a content creation means for determining an output layout using the content data selected by the content selection means to create the digital content. Digital Content creation system. 2. A content data storage unit for storing content data, a user information storage unit for storing user information about a user, and another target information storage unit for storing other target information about a target other than the user can be used. In this case, it is a system for selecting the content data from the content data storage means and creating digital content using the selected content data, and which of the user information and the other target information is prioritized. Priority information acquisition means for acquiring priority information relating to priority indicating whether to be taken into account, user information of the user information storage means, other target information of the other target information storage means, and the priority information acquisition means. Based on the priority information acquired in step 1, Digital content production system, comprising a content selection means for selecting the data, and a content creating means for creating the digital contents to determine the output layout by using the content data selected by the content selection means. 3. The other target information according to claim 2, wherein the other target information is topicality information regarding topicality, and the other target information storage unit is a topicality information storage unit that stores the topicality information. Digital content creation system. 4. The content selection means according to claim 3, adapted to user preference or interest and topicality based on the user information of the user information storage means and the topicality information of the topicality information storage means. Content data is selected from the content data storage means, and based on the priority information acquired by the priority information acquisition means, content data suitable for the taste or interest of the user and content data suitable for the topicality. A digital content creation system characterized by being adapted to adjust the ratio with. 5. The priority information storage means according to claim 3, wherein when priority information storage means for storing the priority information in association with a user situation becomes available, the priority information storage means stores the priority information. Content data is selected from the content data storage means based on priority information, and a status information acquisition means for acquiring status information relating to the current or future status of the user, and the status information acquisition means. A priority information retrieval unit that retrieves priority information about the current or future situation of the user from the priority information storage unit based on the acquired situation information; and the priority information acquisition unit, A digital content creation system characterized in that the priority information retrieved by the priority information retrieval means is acquired. 6. The priority information input means for inputting the priority information, and the priority information input by the priority information input means is specified by the status information acquired by the status information acquisition means according to claim 5. And a priority information registration means for registering the priority information storage means in association with the user situation. 7. The priority information input means for inputting the priority information and the status information, and the priority information input by the priority information input means are input by the priority information input means according to claim 5. A digital content creation system, comprising: priority information registration means for registering in the priority information storage means in association with the user's situation specified by the situation information. 8. The priority information storage unit according to claim 5, wherein the priority information storage unit stores the priority information in association with position information, and the status information acquisition unit is a user. The position information generating means for generating position information for specifying the position of the position information is acquired as the status information. 9. The content selection means according to claim 3, wherein the content selection means reads the content data from the content data storage means, and based on the read content data and user information in the user information storage means, A preference value indicating the degree of user's preference or interest in the content data is calculated, and the degree of topicality of the content data is calculated based on the read content data and the topicality information of the topicality information storage unit. The topicality value shown is calculated, and based on the priority information acquired by the priority information acquisition means, the calculated preference value and topicality value are respectively weighted to calculate a compatible value, and the content data Also for other content data in the storage means, the reading and the calculation of the preference value are performed. Digital content production system, characterized in that said make calculation and calculation of the adaptive value of topicality value, so as to choose the content data from the highest the adaptive value. 10. The priority information according to claim 9, wherein the priority occupancy ratio is occupied by the content information selected that matches the user's taste or interest, and the topicality of the selected content data. The content selection unit multiplies the preference value by a coefficient according to the preference occupancy ratio, based on the priority information acquired by the priority information acquisition unit. In addition, the digital content creation system is characterized in that the coefficient is calculated by multiplying the topicality value by a coefficient according to the topicality occupation ratio and adding the multiplication results. 11. The representative user information storage unit according to claim 9, wherein the user information storage unit is a representative taste target information representatively showing specific contents that may be a target of taste or interest. Is stored as the user information in association with a preference degree indicating the degree of user's preference or interest, and the topicality information storage unit representatively indicates specific content that can be an object of topicality. For representative topical target information,
The topicality degree indicating the degree of topicality of the specific content is associated and stored as the topicality information, and the content selection unit includes the representative preference target included in the read content data. The number of information or the stochastic feature amount is calculated, the preference value is calculated by multiplying the calculated number or the probabilistic feature amount by the preference degree of the user information, and the representative included in the read content data. The topicality value is calculated by calculating the number or probabilistic feature amount of the topicality target information and multiplying the calculated number or probabilistic feature amount by the topicality degree of the topicality information. A digital content creation system characterized by the above. 12. The information according to claim 11, wherein the representative preference target information is a phrase representatively showing specific contents that can be a target of preference or interest, and the representative topicality target information can be a topicality target. A digital content creation system characterized in that it is a phrase representative of a specific content. 13. The topic information storage means according to claim 3, wherein when article information storage means for storing article information becomes available, the topicality information storage means is based on article information in the article information storage means. The article information acquisition means for acquiring the article information from the article information storage means, and the article information acquired by the article information acquisition means based on a predetermined extraction rule, A topical information extracting unit for extracting topical information, and a topical information updating unit for updating the topical information in the topical information storage unit based on the topical information extracted by the topical information extracting unit. A digital content creation system characterized by. 14. The method according to claim 13, wherein when the extraction rule storage means for storing the predetermined extraction rule becomes available, the topicality information is extracted based on the extraction rule in the extraction rule storage means. According to the extraction rule of the extraction rule storage unit, the topic information extraction unit extracts the topic information from the article information acquired by the article information acquisition unit. A characteristic digital content creation system. 15. The extraction rule according to claim 13, wherein the extraction rule includes representative topicality target information representatively showing specific content that can be an object of topicality, and the topicality information extraction unit includes: A digital content creation system characterized in that the topicality information is extracted based on the position or rank of the representative topicality target information in the article information acquired by the article information acquisition means. 16. The extraction rule according to claim 13, wherein the extraction rule includes representative topicality target information representatively showing specific content that can be a topicality target, and the topicality information extraction unit includes: The representative topicality target information calculates the number or probabilistic feature amount included in the article information acquired by the article information acquisition means, and extracts the topicality information based on the calculated number or probabilistic feature amount. A digital content creation system characterized by the following. 17. The topicality information storage unit according to claim 13, wherein the topicality information update unit considers a temporal change in the topicality information extracted by the topicality information extraction unit. A digital content creation system characterized by updating topic information of. 18. The topicality information updating means according to claim 17, wherein the influence of the topicality information extracted by the topicality information extracting means on the update is reduced as it is farther from the present toward the past. , A digital content creation system characterized in that the closer it is to the present, the larger it is. 19. The topicality information updating means according to claim 18, wherein the degree of influence of the topicality information to be updated contributing to the update is the topicality information extracted by the topicality information extracting means. The topicality information to be updated is calculated so as to be smaller than the degree of influence that contributes to the update, and the update is performed based on the calculated topicality information and the topicality information extracted by the topicality information extraction means. A digital content creation system characterized in that target topic information is updated. 20. The article information storage means according to claim 13, wherein when a plurality of article information storage means for storing article information of different formats becomes available, the article information storage means stores the article information based on the article information stored in the article information storage means. The topic information in the topic information storage means is updated, and the article information conversion means converts the article information acquired by the article information acquisition means into article information of a predetermined format. The digital content creating system is characterized in that the topicality information is extracted from article information in a predetermined format converted by the article format converting means based on the predetermined extraction rule. 21. The priority information acquisition unit according to claim 1, wherein the schedule information storage unit stores the schedule information when the schedule information storage unit that stores schedule information related to the schedule of the user is available. A digital content creation system characterized in that the priority information is acquired from the schedule information of the means. 22. A system applied as a part of the digital content creation system according to claim 1, wherein the user information on a user, other target information on a target other than the user, and the user information and the other target information. A content data selection system comprising: content selection means for selecting the content data from the content data storage means on the basis of priority information relating to priority indicating which is to be preferentially considered. 23. When a content data storage means for storing content data becomes available, the content data is selected from the content data storage means and a digital content is created using the selected content data. The program is based on user information about a user, other target information about a target other than the user, and priority information about priority indicating which of the user information and the other target information is to be preferentially considered. Content selection means for selecting the content data from the content data storage means, and processing realized as content creation means for determining the output layout using the content data selected by the content selection means and creating the digital content. Compu Digital content production program which is a program to be executed by the data. 24. When a content data storage means for storing content data becomes available, the content data is selected from the content data storage means and a digital content is created using the selected content data. A method based on user information about a user, other target information about a target other than the user, and priority information about priority indicating which of the user information and the other target information is to be preferentially considered. A content selection step of selecting the content data from the content data storage means, and a content creation step of determining the output layout using the content data selected in the content selection step and creating the digital content. And de Digital content creation method.