JP5158302B2 - Information provision system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To allow a user of a mobile terminal to retrieve another person having personal information having a statistically high correlation degree to personal information such as one's own taste or idea. <P>SOLUTION: This information provision system has: a member personal information database 23 holding a plurality of pieces of personal information comprising member IDs and a plurality of keywords expressing the taste of members; an extraction part 34 extracting the personal information having the large correlation degree to the personal information of a first member among the plurality of pieces of the personal information held by the member personal information database 23 by use of a first keyword and a first member ID of the first member; and a provision part 20 providing the personal information having the large correlation degree extracted by the extraction part 34 to the member terminal of the first member. <P>COPYRIGHT: (C)2007,JPO&amp;INPIT

Description

  The present invention relates to an information providing system, and more particularly to an information providing system suitable for use in an Internet community site.

  A social networking service (hereinafter referred to as SNS [Social Networking Service]) for building a social network on the Internet is known. In SNS, a large number of users register as members on a specific site on the Internet, and exchange between individuals, exchange information between businessmen, and the like.

  2. Description of the Related Art In recent years, an operating organization such as a company that operates an SNS provides a service in which a member displays information of other members on a portable terminal using a portable terminal to perform communication. This service requires real-world involvement among members. For this reason, the management organization acquires information such as profiles, photos, hobbies, etc. in advance for actual communication between members, and provides a communication service for members.

2. Description of the Related Art Conventionally, a technique for exchanging personal information using a mobile phone is known (for example, see Patent Document 1). This Patent Document 1 discloses an electronic business card information utilization method that makes electronic business card information exchanged using a portable terminal available not only to the exchanged individual but also to members of the organization to which it belongs. .
JP 2005-182444 A

  When an operating organization organizes an event, party, or off-party for social networking service members, at the venue of the event, the member has a hobby or interest that is the same as his / her hobby or interest. I would like to get acquainted with a member who has, or exchange information on hobbies etc. at the event venue. However, there is a problem in that it is not possible to perform a member search based on a small amount of contact between members in the real world such as an event venue.

In view of such a situation, the present invention enables a user of a mobile terminal to search for another person whose personal information is statistically highly correlated with personal information such as his / her hobbies and preferences in an information providing system using the mobile terminal. it is possible to, is intended to provide an information providing system capable of displaying the list in the information that is relevant most useful highly mobile phone in order narrow screen.

  In order to achieve the above object, the information providing system of the present invention has personal information of a plurality of members having a member ID, and provides personal information extracted from the personal information of the plurality of members to a plurality of member terminals. A providing system, a member personal information database storing a plurality of personal information including a plurality of member IDs and a plurality of keywords representing hobbies of the members corresponding to the member ID, the member terminal, the member ID, and the individual A transmission / reception unit that transmits / receives information, and when the transmission / reception unit receives one and other member IDs, the personal information corresponding to the one and other member IDs stored in the member personal information database is compared, and the individual Calculates the degree of correlation indicating the degree of correlation based on the matching rate of keywords included in information, and correlates member information including keywords whose correlation degree is greater than a predetermined threshold An extraction unit that extracts the member ID as a large member ID, and a provision unit that provides the member ID extracted by the extraction unit and personal information corresponding to the member ID to the member terminal by transmitting and receiving the one and the other member IDs The first feature is the provision.

  The present invention further includes a member personal information database for storing a plurality of personal information composed of a plurality of member IDs and a plurality of keywords representing hobbies of the members corresponding to the member IDs, and a plurality of members having the member IDs. Information providing system that provides personal information extracted from the personal information of the plurality of members to a plurality of member terminals, wherein one and the other member IDs stored in the member personal information database Compared with corresponding personal information, calculates a correlation degree indicating a degree of correlation based on a matching rate of keywords included in the personal information, and member information including keywords whose correlation degree is greater than a predetermined threshold Store in the member personal information database together with the degree of correlation, search the personal information of a plurality of member IDs stored in the member personal information database, and share the other member ID An extraction unit that extracts a member ID including the member ID, and a providing unit that provides the member ID extracted by the extraction unit and personal information corresponding to the member ID to the member terminal by transmitting and receiving the one and the other member IDs This is the second feature.

  Further, according to the present invention, in any one of the information providing systems, the extraction unit calculates a statistical coincidence between common keywords among a plurality of keywords corresponding to the one and the other member IDs. The third feature is the extraction of a member ID having a high degree of correlation. In any of the information providing systems, the extraction unit is a threshold for determining the number of personal information to be extracted. A fourth feature is to extract a member ID having a high degree of correlation using a rate.

  According to a fifth aspect of the present invention, in any one of the information providing systems, the information exchange system further includes an ID exchange history database that holds the provision of the member ID and personal information provided to the one and other member IDs as a history. In the information providing system according to the first, third, fourth, or fifth feature, one and other member IDs provided by the extraction unit are stored in the member personal information database and stored in the member personal information database. The sixth feature is to search the personal information of the plurality of member IDs and extract the member ID including the other common member ID.

  According to the information providing system of the present invention as set forth in claim 1, each member can easily search for members having personal information correlated with their own personal information, such as members having similar hobbies, by exchanging data. An excellent effect of being able to do so can be achieved.

  Further, according to the information providing system of the present invention described in claims 2 to 5, each member can search for a member having specific personal information, thereby facilitating communication between the members. Members can also receive more detailed social networking services. Further, each member can efficiently and commonly know information such as names of acquaintances, hobbies, and careers at any place. The member can easily find a member having a similar hobby without inputting a lot of information on the mobile terminal and displaying a lot of information.

Hereinafter, an embodiment of an information providing system according to the present invention will be described in detail with reference to the drawings. 1 is a diagram for explaining a system configuration of an information providing system according to an embodiment of the present invention, FIG. 2 is a block diagram of a member terminal in FIG. 1, FIG. 3 is a block diagram of a management server in FIG. FIG. 5 is a diagram for explaining the matching rate calculation matrix, FIG. 6 is a diagram for explaining the correlation calculation unit, FIG. 7 is a diagram for explaining the business card database, and FIG. Is a diagram for explaining the contact history calculation unit, FIG. 9 is a diagram for explaining a modified configuration example of the correlation calculation unit, FIG. 10 is a diagram for explaining an information providing sequence according to this embodiment, and FIG. FIG. 12 is a diagram for explaining a method for generating a rate calculation matrix, FIG. 12 is a diagram for explaining a correlation calculation method, and FIG. 13 is a diagram for explaining a contact history calculation method. 1 to 9, the same reference numerals denote the same parts.
<Configuration>
The information providing system according to the present embodiment has personal information of n (n = 1, 2, 3...) Members having a member ID and extracted from the personal information of n members for n member terminals. As shown in FIG. 1, there are n (n = 1, 2, 3,...) Member terminals 1 having a function of transmitting and receiving IDs (Identifiers) to and from nearby member terminals, and members. A management server 10 having a database for searching for members having personal information correlated with the personal information, the Internet 11 for transferring data accessed by the management server 10 and many users, and the Internet 11. The mobile phone network 12 is connected to a base station 13 that transmits and receives radio signals.

An example of the operating entity of the information provision system according to the present embodiment, reunion attracted companies and to support the holding of a member of the event has a plurality of registered members, the person each other became acquainted through the bulletin boards on the Internet 11 Is a company that holds

  As shown in FIG. 2, the member terminal 1 according to the present embodiment includes a radio transmission / reception unit 18 that transmits and receives radio signals to and from the base station 13, and a main control unit 17 for processing transmission / reception data and controlling each unit of the terminal. An ID holding unit 19 that holds a member ID pre-assigned to the member terminal 1, a proximity communication unit 14 that transmits and receives the member ID to and from other member terminals, a display unit 15 that displays information, a telephone number and data And an input unit 16 for inputting. Here, the proximity communication unit 14 includes an IC (Integrated Circuit) chip and an IC card, and transmits / receives ID data to / from an active member terminal near the member terminal 1. The member terminal 1 transmits its own ID to the other member terminal 1 via the proximity communication unit 14 and receives the transmitted partner ID from the partner member terminal 1. That is, each member terminal 1 performs ID exchange. The proximity communication unit 14 can also use an infrared communication device, an infrared communication card, or the like.

  The management server 10 (FIG. 1) according to the present embodiment includes personal information data of registered members, data necessary for correlation calculation and contact history calculation described below, extracted from the access history and access history of each member to the management server 10. And hold. As shown in FIG. 3, the management server 10 includes a transmission / reception unit (providing unit) 20 that transmits and receives packet data between the Internet and the management server 10, a keyword that represents a member's hobbies and preferences from the received packet data, and each member's individual. The original book creation unit 21 that creates the original book database 22 that holds information, and the member ID, image, member name, gender age, residence, affiliated company, qualification, ability, hobby, other keywords, numerical information, Using the original book database 22 that holds the member ID, event history, title, etc. of the ID exchanged member as original book data, and for performing correlation calculation and contact history calculation to be described later using the original book data held in the original book database 22 A primary database 25 that holds data and a primary database that uses data held in the original book database 22 A database creation unit 30 that creates the database 25 and an extraction unit 34 that performs correlation calculation and contact history calculation using data held in the primary database 25 and extracts member IDs having a common hobby and preference. Is done.

  The original book database 22 includes a keyword definition database 24 and a member personal information database 23. Here, as shown in FIG. 4A, the keyword definition database 24 includes keyword items representing hobbies and preferences such as wine, beer, cigar, Europe, piano, liquor, Japanese confectionery, respectively, as keywords aa, ab, It is held in correspondence with ac, ad, ae, af, ag, etc. Each keyword is likely to be used for correlation calculation and is held as master data.

  As shown in FIG. 4B, the member personal information database 23 stores a plurality of personal information including member IDs 1859, 1967, and a plurality of keywords aa representing individual hobbies of the members “Yamada” and “Ueno”. . The member personal information database 23 holds a member ID, a member name, a keyword representing a hobby, and a contact history representing the ID of a member terminal that has been in contact so far. For example, for a member with ID 1859, the interests are wine, Europe, liquor, etc., and the contacted member terminal IDs are 1021, 2001. As shown in FIG. 4C, the management server 10 can also provide a member personal information database 23a that holds an email address as a contact history.

  The database creation unit 30 (FIG. 3) includes a correlation database 27, a member contact ID database 28, and a member data keyword database 29 described below, a correlation database creation unit 31, a member contact ID database creation unit 32, and a member data keyword. It consists of a database creation unit 33.

  The extraction unit 34 uses the first member ID and the first keyword of the first member (one member), and the personal information of the first member of the plurality of personal information held in the member personal information database The personal information of the other member whose correlation degree is large is extracted, and the correlation calculation unit 35 that performs correlation calculation using the data of the primary database 25 and the contact history calculation using the data of the primary database 25 And a contact history calculation unit 36 to be performed.

  The transmitting / receiving unit 20 functions as a providing unit that provides the first member member terminal 1 with the personal information having a high degree of correlation extracted by the extracting unit 34.

  The primary database 25 includes a correlation database 27, a member contact ID database (ID exchange history database) 28, a member data keyword database 29, and a business card database 26.

  Here, the correlation database 27 holds a matching rate representing the degree of correlation between keywords. The magnitude of the degree of correlation represents the statistical proximity between two keywords such as aa and ab. The member contact ID database 28 holds the member ID held by the member personal information database 23 and the history of other member terminals 1 with which the member terminal 1 having the member ID has exchanged the ID. The member terminal 1 holds a history of the member ID of the partner member terminal 1 whose ID has been exchanged. The member data keyword database 29 holds a plurality of keywords held by each member. The business card database 26 holds the member ID calculated by the extraction unit 34 and transmitted to the member terminal 1.

Each of the original book creation unit 21, the database creation unit 30, and the extraction unit 34 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like.
<Description of primary database creation>

Hereinafter, data stored in the correlation database 27, the member contact ID database 28, the member data keyword database 29, and the business card database 26 in the management server 10 will be described in detail.
[1. Member data keyword database creation unit 33]

The member data keyword database creation unit 33 reads the member personal information database 23 and, as shown in FIG. 5, the member data keyword database 29 stores, for example, a member ID of ID1859 and a plurality of keywords aa, ad, ID of the member ID of ID1859. af, ak, etc. are written in association with each other. As an example, hobbies, preferences or interests of the member of ID 1859 are beer, Europe, sake, Japanese confectionery ... corresponding to the keywords aa, ad, af. Hobbies and the like for ID 1967 are wine, European, Western food ...
[2. Creating a match rate calculation matrix]

The correlation database creation unit 30 creates work data called a coincidence rate calculation matrix 37 in the work area of the RAM. The number of rows or columns in the coincidence rate calculation matrix 37 is the total number of keywords aa, ab... Zz, and is 676 (26 × 26), for example. A total of 676 × 676 cells in the coincidence rate calculation matrix 37 has three types of data of an upper stage, a middle stage, and a lower stage. Hereinafter, the three types of data are referred to as upper data, middle data, and lower data.
[3. Creation of Keyword Holding ID Holding Units 38a and 38b]

  The correlation database creation unit 30 writes data to the keyword possession ID retaining unit 38a for retaining work data. That is, the correlation database creation unit 30 searches the member data keyword database 29 for the member ID that holds the keyword aa, and writes all the member IDs that hold the keyword aa in the keyword holding ID holding unit 38a. The correlation database creation unit 30 writes the IDs 1967 and 2105 having the keyword aa in the area 1 of the keyword holding ID holding unit 38a. The correlation database creation unit 30 searches the member data keyword database 29 for the member ID holding the keyword ab, and writes the hit member ID in the area 2 of the keyword holding ID holding unit 38a. Similarly, the correlation database creation unit 30 writes the member IDs having the keywords ac to zz to the keyword holding ID holding unit 38a for all 676 keywords of the keywords ac to zz.

The correlation database creation unit 30 duplicates the keyword holding ID holding unit 38a obtained in this way, and generates the keyword holding ID holding unit 38b.
[4. Calculation of lower data of cells in coincidence rate calculation matrix 37]

  The correlation database creation unit 30 calculates lower data. The lower data is a count value obtained by counting the number of IDs included in each of the 676 regions n (n = 1 to 676) of the keyword holding ID holding units 38a and 38b.

First, the correlation database creation unit 30 counts the number of member IDs (1967, 2105, 2321, 2341,...) That have the keyword aa for the region 1 and calculates the count value (for example, 876) in the matching rate calculation matrix 37. The lower data of all cells located in one row (first row) is written as 876. Further, the correlation database creation unit 30 counts the number of member IDs (2392, 2923, 3028, 3235... When n is 2) from the area 2 and holds the count value (for example, 237). The lower data of all the cells located in the second row of the calculation matrix 37 are written as 237. Similarly, the correlation database creation unit 30 counts the number of member IDs that hold the keywords ac... Zz from the region n (n = 3 to 676), and uses the count values in all the n-th rows of the coincidence rate calculation matrix 37. Write to the lower data of the cell.
[5. Calculation of middle data of cells in first row in coincidence rate calculation matrix 37]

Correlation database creation unit 30, I D included in the region 1 of the keyword possessed ID holding portion 38a is to count if it contains any number in the respective regions 1~n keywords holdings ID holding section 38b. Here, if a cell located in i (i represents a natural number) row j (j represents a natural number) column is represented as a cell ij, ID included in the region 1 of the keyword holding ID holding unit 38a is a keyword. Since the area 1 of the possessed ID holding unit 38b includes 876 pieces, the correlation database creating unit 30 writes 876 as the middle stage data of the cell 1-1. Next, the correlation database creation unit 30 counts the number of IDs included in the region 2 of the keyword holding ID holding unit 38b and writes, for example, 123 in the middle stage of the cell 1-2. Similarly, the correlation database creation unit 30 counts the number of IDs included in the copy areas 3, 4, 5,..., 5, 78, respectively, in the middle stages of the cells 1-3, 1-4, 1-5. 467 ... are written. When this writing is completed, the processing for the first row aa of the coincidence rate calculation matrix 37 is completed.
[6. Calculation of middle data of cells after second row of coincidence rate calculation matrix 37]

  The correlation database creation unit 30 performs the process on the second row of the coincidence rate calculation matrix 37.

The correlation database creation unit 30 counts the number of IDs included in the areas 1, 2, 3, 4... Of the keyword holding ID holding unit 38b, and the cells 2-1, 2-2, 2-3, 2-4. ... Are written in the middle stage as 123, 237, 18, 35, respectively.

The correlation database creation unit 30 performs similar processing, and completes the data in the middle and lower stages of the coincidence rate calculation matrix 37.
[7. Calculation of upper data of coincidence rate calculation matrix 37]

The correlation database creation unit 30 calculates the coincidence rate (middle data / lower data) of all cells. As an example, the matching rate between the keywords aa and aa is 1.00, the matching rate between aa and ab is 0.14, and between the keywords aa and ac is 0.01.
[8. Generation of Correlation Database 27 by Extracting Upper Data of Matching Ratio Calculation Matrix 37 by Correlation Database Creation Unit 30]

As described above, the extraction unit 34 calculates the statistical coincidence between two keywords out of the 676 keywords held in the member personal information database 23 using the first member ID and the first keyword. Thus, a plurality of pieces of personal information having a high degree of correlation are extracted.
<Explanation of correlation calculation>

  The correlation calculation unit 35 calculates the correlation between one self ID and a plurality of partner IDs using the matching rate of the correlation database creation unit 30. The correlation calculation unit 35 is a retained data highly correlated keyword holding unit 39, a target ID holding unit 40, a matching number holding unit 41, a display keyword holding unit 42, a highly correlated keyword holding unit 43, as a work data holding unit. A rate holding unit 44 is provided. Hereinafter, a correlation calculation between the member ID 1859 (hereinafter referred to as self ID) and the member ID 1967 (hereinafter referred to as partner ID) will be described.

  As shown in FIG. 6, the correlation calculation unit 35 uses the keywords aa, ad, ak, bd... In the member data keyword database 29 corresponding to the ID 1967 for the partner ID 1967 out of the input self ID and partner ID. , Respectively, in the target ID holding unit 40.

  For the self ID 1859, the correlation calculation unit 35 refers to the keywords ab, ad, af, ak,... In the member data keyword database 29 corresponding to the ID 1859, and uses the keywords ab, ad, af, ak,. 43 is notified.

  The highly correlated keyword calculation unit 43 refers to the correlation database 27 for each of the keywords ab, ad, af, ak..., Extracts keywords having a cutoff rate exceeding the initial value 0.95, and extracts the extracted keywords. Write to the highly correlated keyword holding unit 43 as the target keyword. The highly correlated keyword calculation unit 43 extracts, for example, the keywords ab (self), bb, and bg having a cut-off rate exceeding 1.00, 0.97, and 0.98 for the keyword ab of number 1. Then, the extracted keyword is stored in the highly correlated keyword storage unit 60 in association with the keyword ab. The highly correlated keyword calculating unit 43 also extracts highly correlated keywords for the keywords ad, af,. The cut-off rate is a threshold value for determining the number of personal information to be extracted.

  The correlation calculating unit 35 writes the degree 1, 2,..., The keyword ab, and the keywords ab, bb, and bg exceeding the cut-off rate 0.95 in association with each other into the highly correlated keyword holding unit 60. Further, the correlation calculation unit 35 writes the keyword ab and the keywords ab, bb, and bg in the highly correlated keyword holding unit 60 in the retained keyword highly correlated keyword holding unit 39 as the calculation result for the partner ID 1967. Thus, the process for keyword aa ends.

  Further, for the keyword ad, the correlation calculation unit 35 creates a retained keyword highly correlated keyword holding unit 39 to hold the keyword ad and the keywords ad and az that exceed the cut-off rate for the keyword ad in association with each other, The keyword ad and the keywords ad and az are written in the retained keyword highly correlated keyword holding unit 39. The retained keyword highly correlated keyword holding unit 39 thus created holds a keyword ab and a pair of highly correlated keywords ab, bb and bg, a keyword ad and a pair of highly correlated keywords ad and az. Therefore, the retained keyword high correlation keyword holding unit 39 stores the high correlation keywords ab, bb, bg, ad, az, af, ag, bb, ak, bg, fe, sa corresponding to the keywords ab, ad, af, ak. ... is written.

  The correlation calculation unit 35 performs a matching search between the highly correlated keyword of the retained keyword highly correlated keyword holding unit 39 and the keyword of the target ID holding unit 40 for each of the keywords ab, ad, af, ak. For example, with respect to the keyword ab, the correlation calculation unit 35 determines the high correlation keywords ab, bb, bg corresponding to the retained keywords aa, ad, ak, bg... Of the target ID retaining unit 40 and the retained keywords highly correlated keyword retaining unit 39. Are searched for a matching keyword, and the matching number (hit number) for the keyword ab is written in the matching number holding unit 41. Similarly, the correlation calculation unit 35 writes the matching search result for each of ad, af, ak,.

  The correlation calculation unit 35 sorts the retained keywords in descending order of the matching number of the matching number holding unit 41. The correlation calculation unit 35 writes the retained keywords bg, ab, ad, and ak corresponding to the matching numbers 3, 2, 1, 1 to the display keyword holding unit 42. The correlation calculation unit 35 writes these retained keywords bg, ab, ad, and ak in the business card database 26 as shown in FIG.

  The transmission / reception unit 20 (FIG. 3) transmits the written data of the retained keywords bg, ab, ad, and ak to the member terminal having the self ID. When the member terminal having the self ID 1859 receives the data of the retained keywords bg, ab, ad, and ak, it displays them on the display unit 15 as highly correlated keywords.

  In this way, the correlation calculation unit 35 extracts a plurality of keywords that match the keyword of the self ID from among a large number of keywords based on a predetermined cut-off rate, and extracts a keyword having a high degree of matching. To do. That is, the extraction unit 34 extracts a plurality of pieces of personal information having a high degree of correlation using a cut-off rate for determining the number of pieces of personal information to be extracted.

The correlation calculation unit 35 does not write the retained keyword af... With the matching number 0 to the display keyword holding unit 42. For this reason, the display keyword holding unit 42 may have an area on the RAM for writing the keyword, and the number of extracted keywords may be less than the preset display number. In this case, the highly correlated keyword calculation unit 43 refers to the cutoff rate holding unit 44 and uses the retained keyword high correlation keyword holding unit 39 again with a cutoff rate of 0.7 that is one step lower than 0.95 as a reference. Update. Here, the cut-off rate holding unit 44 holds the orders 1, 2, 3... And the cut-off rates 0.95, 0.7, 0.5. The highly correlated keyword calculation unit 43 additionally displays the result obtained by performing the re-search on the basis of the cut-off rate 0.7.
<Explanation of contact history calculation>

  When the contact history calculation unit 36 receives the member ID (member ID 1859) from the member terminal 1 of the member A, the contact history calculation unit 36 searches the history of the other member terminal 1 that the member terminal 1 of the member A has previously exchanged, and so on. When the history of the member terminal 1 is held, the member ID (for example, member ID 1967) of the member terminal 1 is transmitted to the member terminal 1 of the member A. The contact history calculation unit 36 includes an enlarged contact ID calculation unit 52 that calculates an enlarged contact ID. In addition, the contact history calculation unit 36 includes a member contact ID database 45, a first contact ID list 46, and a second contact ID list. 47, a contact ID holding unit 48, a total ID holding unit 49, a common ID number holding unit 50, a display ID holding unit 51, a current dimension holding unit 55, an OR calculation unit, and an AND calculation unit.

  The contact history calculation unit 36 refers to the member contact ID database 45 for each of the partner ID 1859 and the self ID 1967, and stores 1021, 2001, 2289, 3409, 4381, and 4937 corresponding to the partner ID 1859 in the first contact ID list 46. Write. The contact history calculation unit 36 writes 1533, 2001, 2211, 2593, 3409, and 3814 corresponding to the self ID 1967 in the second contact ID list 47.

  Further, the enlarged contact ID calculation unit 52 writes the contact IDs 1021, 2001, 2289,... Of the partner ID 1859 read from the member contact ID database 45 in the enlarged contact ID holding unit 53 for holding work data. These contact IDs 1021, 2001, 2289,... Correspond to the so-called personal network of the partner ID 1859. The enlarged contact ID calculation unit 52 also writes the contact IDs 1021, 2001, and 2289 in the column of the contact ID holding unit 54 of the enlarged contact ID for holding work data.

  The enlarged contact ID calculation unit 52 performs the following processing for the ID 1021 among the contact IDs 1021, 2001, 2289. The enlarged contact ID calculation unit 52 reads from the member contact ID database 45 contact ID lists 1859, 2001, 2138, 5321... Holding ID1021 as a contact ID list, and holds these ID1859. The data is written in the unit 54 in association with the ID 1021. These contact ID lists 1859, 2001, 2138, 5321... Are all human networks with ID 1021. In other words, the contact ID lists 1859, 2001, 2138, 5321... Are personal connections for ID 1021, which is one of the personal connections of ID 1859. Accordingly, the expanded contact ID calculation unit 52 calculates the history of members who have contacted the first member for the first member such as ID1021 and the plurality of friend members such as ID1859 held by the first member.

  Also for the contact ID list of the self ID 1967, the enlarged contact ID calculation unit 52 writes the contact ID list of the self ID 1967 in the enlarged contact ID holding unit 54 in the same manner as the partner ID 1859 is written. The enlarged contact ID calculation unit 52 associates the self ID 1967 with the contact ID list corresponding to the self ID 1967 and writes it in the contact ID holding unit 54 of the enlarged contact ID.

  The contact history calculation unit 36 performs AND calculation of a plurality of IDs held in each of the first contact ID list 46 and the second contact ID list 47, and acquires, for example, ID 2001, 3409,. To do. The contact history calculation unit 36 writes these common IDs 2001, 3409... As common IDs in the column of the contact ID holding unit 48. Further, the contact history calculation unit 36 reads contact IDs corresponding to the common IDs 2001, 3409... From the member contact ID database 45, and writes the read contact IDs into the contact ID holding unit 48.

  Furthermore, the contact history calculation unit 36 adds both the contact ID lists of the first contact ID list 46 and the second contact ID list 47 (OR calculation). The contact history calculation unit 36 writes the IDs 1021, 1533, 2001, 2211, 2289, 2593, 3409... Included in both lists in the total ID holding unit 49.

  The contact history calculation unit 36 performs matching calculation for each of the common IDs in the column of the contact ID holding unit 48 to determine whether or not the ID of the total ID holding unit 49 matches, and the hit ID is stored in the common ID number holding unit. Write to 50. Here, the contact history calculation unit 36 also holds the number of matching for each common ID in a matching number holding unit (not shown), and uses this matching number to hold the common ID number holding unit 50. A plurality of common IDs are sorted, and the sorted result is written in the display ID holding unit 51. The contact history calculation unit 36 also writes the result written in the display ID holding unit 51 in the business card database 26 (FIG. 7).

  Further, the contact history calculation unit 36 determines whether or not there is an area margin on the RAM in the display ID holding unit 51. If there is no area margin, the contact history calculation unit 36 determines the ID of the display ID holding unit 51. To the member terminal 1 of the self ID, and the member terminal 1 of the self ID displays the ID.

  On the other hand, when there is an area margin, the enlarged contact ID calculation unit 52 refers to the current dimension holding unit 55 and each enlarged contact of the self ID and the partner ID in the dimension held in the current dimension holding unit 55. Regarding the ID, the contact ID holding unit 53 of the enlarged contact ID is referred to. The enlarged contact ID calculation unit 52 updates the first contact ID list 46 and the second contact ID list 47 with the contact ID held in the contact ID holding unit 53 of the enlarged contact ID. The contact history calculation unit 36 performs contact history calculation again using the updated first contact ID list 46 and second contact ID list 47.

In summary, the contact history calculation unit 36 refers to each contact history of the input self ID and partner ID, searches the exchange history of each ID of the member A and the member B, and makes the exchange history of the member A A common member is searched for each of the included members and the members included in the exchange history of member B. Here, if contact ID data of another member viewed from the member A is referred to as primary data, the contact history calculation unit 36 uses the contact ID data of the member existing in the contact data as secondary data, and the secondary data. The contact ID data of the data ID holder is assumed to be tertiary, and similarly, the data is calculated as quaternary, fifth order,. The contact history calculation unit 36 repeats this search up to a preset order. The contact history calculation unit 36 extracts, for each order, information data of member IDs having many common IDs with the exchange history of the partner member, sorts the extracted information data, and has a large number of contact histories. A display ID holding unit 51 in which member IDs are arranged in order is created. As described above, the extraction unit 34 extracts a plurality of pieces of personal information from the member contact ID database 28 and a common ID held by two members among the plurality of pieces of personal information held by the member personal information database 23. To do.
<Modification of correlation calculation unit>

  As shown in FIG. 9, the correlation calculation unit according to the present embodiment can be configured to include an integration data holding unit 57, a row data integration unit 58, and a correlation integration value holding unit 59. Here, the integration data holding unit 57 holds data calculated by integration described below using the matching rate held in the correlation database 27. The row data integration unit 58 integrates the data held in the row of the integration data holding unit 57. The correlation accumulated value holding unit 59 holds the data accumulated by the row data integrating unit 58 for each keyword.

  The correlation calculation unit 56 refers to the member data keyword database 29 for the self ID 1859 and itemizes the keywords ab, ad, af, ak, bg... Corresponding to the ID 1859 in the column of the accumulation data holding unit 57. The correlation calculation unit 56 items the keywords aa, ad, ak, bd, ca... In the row of the accumulation data holding unit 57 for the partner ID 1967 as well.

  The correlation calculation unit 56 calculates the matching rate between the keyword ab in the first row of the accumulation data holding unit 57 and the keywords aa, ad, ak in each column of 1, 2, 3,. Then, referring to the correlation database 27, the data is written in each cell of the integration data holding unit 57. For example, the correlation calculation unit 56 calculates the matching rate 0.52 at which the keyword ab in the second row of the correlation database 27 and the target keyword aa in the first column of the correlation database 27 intersect with each other in the accumulation data holding unit 57. Write to one row, first column of cells. The correlation calculation unit 56 writes the coincidence rate 0.15 of the second row and the fourth column in the correlation database 27 to the cell C1-2 of the first row and the second column of the accumulation data holding unit 57, and The coincidence rate 0.13 of the second row and the eleventh column is written in the cell 1-3 of the first row and the third column of the integration data holding unit 57.

  Similarly, the correlation calculation unit 56 calculates the matching rate between the keyword ad in the second row of the accumulation data holding unit 57 and the keywords aa, ad, ak,. , The data is written in each cell of the integration data holding unit 57. Further, the correlation calculation unit 56 refers to the correlation database 27 and writes the coincidence rate for the keywords af, ak, bg... Located after the third row of the accumulation data holding unit 57. That is, the items corresponding to the vertical and horizontal keywords in the correlation database 27 are written in the integration data holding unit 57.

  The row data integration unit 58 integrates the coincidence rates of the rows 1, 2, 3,... Of the integration data holding unit 57 obtained in this way. The matching rate in the first to seventh columns for the keyword ab in the first row is 3.06 (0.52 + 0.15 + 0.13 + 0.25 + 0.81 + 0.79 + 0.41).

  The correlation calculation unit 56 holds the matching rate 3.06 in the correlation integrated value holding unit 59 in association with the keyword ab. The correlation calculation unit 56 writes each integrated value of the keywords ad, af, ak, bg... In the correlation integrated value holding unit 59.

The correlation calculation unit 56 sorts the keywords held in the correlation accumulated value holding unit 59 using the accumulated values, and holds the keywords ca, co, ak, ad, ab,... Write to part 42.
<Operation>

The service providing method of the information providing system 3 according to the present embodiment having the above configuration will be described in detail.
<Information provision sequence>

  As shown in FIG. 10, the member B activates the application of the member terminal 1 (step A1), and performs ID information transmission processing (step A2).

  The member A activates the application of the member terminal 1 (step A3). The member terminal 1 continues to monitor whether or not the partner ID has been input in step A4 (refer to the n route). When detecting that the partner ID has been input, the member terminal 1 passes through the y route and manages in step A5. The member B's ID and the member A's own ID are transmitted to the server 10.

  The management server 10 performs correlation calculation using both the IDs of the members A and B transmitted from the member terminal 1 (step A6), performs contact history calculation (step A7), and obtains the results of the correlation calculation and contact history calculation. It transmits to the member terminals 1 of both the members A and B (step A8). The management server 10 additionally records the contact history in the member contact ID database 45 (step A9). The management server 10 writes the common ID and the display keyword in the business card database 26 (step A10), and stores the display keyword and the common ID in the display keyword holding unit 42 and the display ID holding unit 51, respectively (step A11). .

On the other hand, when the member terminal 1 of the member A receives the calculation result from the management server 10, the member terminal 1 displays the calculation result (step A12). When there is a change or correction of his / her hobby or taste, the member A transmits the change or correction content to the management server 10 (step A13). The management server 10 updates the original book database 22 based on the change or correction content (step A11). The member B also displays the result received from the management server 10 (step A14), and when there is a change or correction, transmits it to the management server 10 (step A15).
<Generation of Matching Rate Calculation Matrix 37>

  First, a method for generating the coincidence rate calculation matrix 37 of the correlation database creation unit 30 according to the present embodiment will be described.

  As shown in FIG. 11, the correlation database creation unit 30 first sets a variable X (1 to 676) representing a row of the coincidence rate calculation matrix 37 to 1.

In step P1, the management server 10 searches for members having the keyword aa in the first column (X = 1). When the number of members hit by the search is 876, the management server 10 assigns serial numbers Z ₁ , Z ₂ ,..., Z ₈₇₆ to the hit members 1967, 2105. The management server 10 sets a variable Z (natural number, Z = Z _{1 to} Z ₈₇₆ ) representing a hit member to 1, and sets a variable Y representing a column of the match rate calculation matrix 37 to 1.

In step P2, the management server 10 determines whether or not the member 1967 (Z ₁ ) exists in the copy area 1. If there is, the management server 10 goes through the y route (route labeled y), In P3, the counter value of the common ID number separately prepared for the member 1967 is incremented by one. When the management server 10 determines that the member 1967 does not exist, the management server 10 performs the process of step P4 described below through the n route (the route labeled n) in step P2.

In step P4, the management server 10 increments Z by 1. In step P5, the management server 10 determines whether Z has reached the total number of owned IDs (Z ₈₇₆ ), and determines that Z has not reached the total number of owned IDs. In this case, the process of step P2 is performed through the n route.

Subsequently, in steps P2 and P3, the management server 10 counts the number of members 2105 (Z ₂ ) existing in the region 1, increments the value of the counter of the member 2105 by 1, and performs the processing of steps P4 and P5. Do. Similarly, the management server 10 repeats the processing from step P2 to step P4 until Z reaches the total number of owned IDs.

If the management server 10 determines that Z has reached Z ₈₇₆ at the _876th step P5, the management server 10 passes the y route and increments Y by 1 at step P6. In step P7, the management server 10 determines whether or not Y has reached the keyword total number 676 of the matching rate calculation matrix 37. If it is determined that Y has not reached 676, the management server 10 passes the n route. Step P2 is performed. In steps P2 to P4, the management server 10 counts the number of members 1967, 2105,...

  If the management server 10 determines that Y has reached 676 at the 676th step P7, the management server 10 passes the y route and increments X by 1 at step P8. In Step P9, the management server 10 determines whether or not X has reached the total number of items 676 of the coincidence rate calculation matrix 37. If it is determined that X has not reached the total number of items, the management server 10 passes through the n route, The process of step P1 is performed. That is, for the keyword ab, the management server 10 performs a process of acquiring the lower and middle data in the cell in the second column of the matching rate calculation matrix 37.

If the management server 10 determines that X has reached the total number of items in the 676th step P9, the management server 10 passes the y route and calculates the coincidence rate of all cells in step P10. The management server 10 calculates middle level data (number of common IDs) / lower level data (total number of owned IDs) for all cells.
<Correlation calculation>

  As shown in FIG. 12, the management server 10 holds the input self ID in its own highly correlated keyword holding unit 43 in step Q1, and sets the degree to 1 in step Q2. In step Q3, the management server 10 refers to the correlation database 27 for each keyword, and calculates a highly correlated keyword based on the cut-off rate set by the degree 1.

  Subsequently, in step Q4, the management server 10 creates the retained keyword highly correlated keyword holding unit 39 from the data of the highly correlated keyword holding unit 43.

  In step Q5, the management server 10 writes the input partner ID into the target ID holding unit 40.

  In step Q <b> 6, the management server 10 extracts a matching keyword by referring to the highly correlated keyword corresponding to the self ID held in the retained keyword highly correlated keyword holding unit 39 and the ID held in the target ID holding unit 40. To do. In step Q <b> 7, the management server 10 writes the keyword obtained by matching in the matching number holding unit 41. In step Q8, the management server 10 sorts the data stored in the matching number holding unit 41, and for the keywords with matching numbers 1, 2,. Write to.

  In step Q9, the management server 10 determines whether or not there is a writable area margin in the display keyword holding unit 42. If there is no area margin, the management server 10 passes through the n route and proceeds to step Q10. The keyword of the display keyword holding unit 42 is transmitted to the member terminal having the self ID, and the member terminal having the self ID displays the keyword. In step Q9, if there is an area margin, the y route is passed. In step Q11, the management server 10 increments the order by one. Further, in step Q12, the management server 10 determines whether or not the order has reached the limit value 7, for example. If the order is not 7, the process proceeds to step Q3 through the n route. The management server 10 performs steps Q3 to Q11 for the degree 2. Similarly, after performing the process for all orders, the management server 10 passes the y route and ends the process in step Q12.

Thus, the management server 10 creates a database having elements of personal information having a high degree of correlation by statistically processing the personal information to be stored. By comparing members having a high degree of correlation, the management server 10 can have a lot of combinations of hobbies and interests if many members have the same hobbies combination. I guess it is high. The management server 10 searches all the members for specific items of the member's personal information, and creates a list of highly correlated item combinations.
<Contact history calculation>

  As shown in FIG. 13, in step R1, the management server 10 compares the contact ID lists, which are primary data of both, and searches for whether or not the same ID exists in both contact ID lists, thereby determining one or more of the contact ID lists. Extract the ID. In step R2, the management server 10 performs a branching process based on the number of extracted match IDs. If the number of matches is 0, the management server 10 passes through the y route, and in step R11, the contact ID in the first order or lower order is listed. Add In the process of step R11, the management server 10 examines the personal connections of the members to be processed. If the number of matches is not 0 in step R2, the management server 10 passes the n route and sets the variable X to 1 in step R4. This variable X is the number of lists written in the column of the corresponding ID holding unit, and the management server 10 calculates ID 1021.

  In step R4, the management server 10 reads the contact ID list for the first ID. In step R5, the management server 10 searches for a matching member ID from the contact ID list of ID1021 and the contact ID lists of the parties themselves and the other party. In step R6, the number of matching IDs is recorded, and in step R7, X is incremented by 1. In step R8, the management server 10 determines whether or not the number of Xs that coincides has been reached. If it is determined that X has not reached, the management server 10 returns to step R4 through the n route, and processes ID 3409.

  In step R8, if the management server 10 determines that the number of X matches has been reached, the management server 10 passes the y route, and in step R9, the number of contact histories among the member IDs included in the partner ID history is large. Table data in which member IDs are arranged in order is created. The management server 10 adds the newly acquired data to the contents of the already created table data. In step R10, the management server 10 determines whether or not there is an area margin in the display ID holding unit 51. If it is determined that there is an area margin, the management server 10 ends the process. If the management server 10 determines that there is no remaining area, the management server 10 passes the n route in step R10, and adds a contact ID of the first order or less to the contact ID list in step R11.

  When each member terminal 1 receives the results of the contact history calculation and the correlation calculation from the management server 10, they display these. Thereby, each member terminal 1 can browse information data from the management server 10. Therefore, at the event venue, each member can obtain members and acquaintances that are similar to his / her hobbies and preferences among many members.

  In this way, each member can search for others who have personal information that is related to their personal information.

The information providing system 3 according to the present embodiment is not limited to the above-described embodiment, and it is needless to say that various changes can be made without departing from the gist of the present invention. The original book database 22 can register not only one-to-one member IDs and member terminals, but also two or three member IDs for one member terminal.
<Other embodiments>
In the above-described embodiment, when the transmission / reception unit receives a plurality (one and the other) of member IDs, the extraction unit compares the personal information corresponding to the plurality of member IDs stored in the member personal information database, Calculating a correlation degree indicating a degree of correlation based on a matching rate of keywords included in the personal information, and extracting member information including a keyword having a correlation degree greater than a predetermined threshold as a member ID having a high correlation degree; Although the example provided with the provision part which provides the member ID which this extraction part extracted and the personal information corresponding to this member ID addressed to a plurality of member terminals whose correlation is larger than a threshold was explained, the present invention For example, a plurality of member IDs / a plurality of keywords corresponding to the member ID corresponding to the member IDs / a plurality of other member IDs having a degree of correlation exceeding a predetermined threshold. A member personal information database for storing personal information is prepared, and the providing unit provides a member ID and personal information corresponding to the member ID to the member terminal by transmitting and receiving the one and the other member IDs. You may comprise.

  According to the present invention, in a meeting or the like of a member organization, each member can display personal information of the members on the mobile terminal using the mobile terminal, thereby facilitating communication between the members. The member can know that a member having a common hobby is approaching by using his / her mobile terminal.

The figure for demonstrating the system configuration | structure of the information provision system by one Embodiment of this invention. The block diagram of a member terminal. The block diagram of a management server. The figure for demonstrating an original book database. The figure for demonstrating a coincidence rate calculation matrix. The figure for demonstrating a correlation calculation part. The figure for demonstrating a business card database. The figure for demonstrating a contact history calculation part. The figure for demonstrating the modification structural example of a correlation calculation part. The figure for demonstrating the information provision sequence by this embodiment. The figure for demonstrating the production | generation method of a coincidence rate calculation matrix. The figure for demonstrating the correlation calculation method. The figure for demonstrating the contact log | history calculation method.

Explanation of symbols

1: Member terminal, 10: Management server, 11: Internet, 12: Mobile phone network, 13: Base station, 14: Proximity communication unit, 15: Display unit, 16: Input unit, 17: Main control unit, 18: Wireless Transmission / reception unit, 19: ID holding unit, 20: Transmission / reception unit (providing unit), 21: Original book creation unit, 22: Original book database, 23, 23a: Member personal information database, 24: Keyword definition database, 25: Primary database, 26: Business card database, 27: Correlation database, 28: Member contact ID database (ID exchange history database), 29: Member data keyword database, 30: Database creation unit, 31: Correlation database creation unit, 32: Member contact ID database creation Part 33: member data keyword database creation part 34: extraction part 35, 56: Seki calculation unit 36: Contact history calculation unit 37: Match rate calculation matrix 38a, 38b: Keyword holding ID holding unit 39: Holding keyword highly correlated keyword holding unit 40: Target ID holding unit 41: Matching number holding Part: 42: display keyword holding part, 43: highly correlated keyword calculating part, 44: cutoff rate holding part, 45: member contact ID database, 46: first contact ID list, 47: second contact ID list, 48: Contact ID holding unit, 49: Total ID holding unit, 50: Common ID number holding unit, 51: Display ID holding unit, 52: Expanded contact ID calculating unit, 53: Contact ID holding unit for enlarged contact ID, 54: Expanded contact ID holding unit, 55: current dimension holding unit, 57: integration data holding unit, 58: row data integration unit, 59: correlation integrated value holding unit, 60: highly correlated keyword holding unit.

Claims (5)

An information providing system that has personal information of a plurality of members having a member ID and provides personal information extracted from the personal information of the plurality of members to a plurality of member terminals,
A member personal information database storing a plurality of personal information composed of a plurality of member IDs and a plurality of keywords representing hobbies of the members corresponding to the member IDs;
A keyword correlation database that stores the degree of coincidence of the keyword pair calculated as a ratio of the number of members including both the keywords in personal information for all combinations of the keyword pair ;
A transmission / reception unit for transmitting / receiving a member ID and personal information to / from the member terminal;
One and the other members stored in the member personal information database when the transmitting / receiving unit receives the one and the other member IDs transmitted from one member terminal triggered by the contact action between the pair of member terminals Obtain personal information corresponding to the ID, refer to the keyword correlation database, and based on the degree of coincidence between the keywords included in the personal information for both members, the degree of correlation between the one and the other member An extraction unit that extracts a high keyword and extracts a member ID including the keyword in personal information in the member personal information database as a member ID having a high degree of correlation;
Providing a keyword extracted by the extraction unit , a member ID and personal information corresponding to the member ID to the member terminals corresponding to the one and other member IDs by the transmission and reception ,
In the extraction unit,
(1) extracting a highly correlated keyword having a matching degree equal to or higher than a predetermined threshold for each keyword included in the personal information of the one member by referring to the keyword correlation database;
(2) For each of the keywords included in the personal information of the one member, count the number of matches between the extracted highly correlated keyword and the keyword included in the personal information of the other member,
(3) An information providing system characterized in that a keyword whose number of matches is equal to or greater than a predetermined number is extracted as the “keyword having a high degree of correlation between the one and the other members” . An information providing system that has personal information of a plurality of members having a member ID and provides personal information extracted from the personal information of the plurality of members to a plurality of member terminals,
A member personal information database for storing a plurality of personal information composed of a plurality of member IDs, a plurality of keywords representing the hobbies of the members corresponding to the member IDs, and history information of contact behavior between the member terminals;
A keyword correlation database that stores the degree of coincidence of the keyword pair calculated as a ratio of the number of members including both the keywords in personal information for all combinations of the keyword pair;
A transmission / reception unit for transmitting / receiving a member ID and personal information to / from the member terminal;
One and the other members stored in the member personal information database when the transmitting / receiving unit receives the one and the other member IDs transmitted from one member terminal triggered by the contact action between the pair of member terminals Obtain personal information corresponding to the ID, refer to the keyword correlation database, and based on the degree of coincidence between the keywords included in the personal information for both members, the degree of correlation between the one and the other member A member ID that extracts a high keyword and includes the keyword in personal information in the member personal information database, and a member ID having a past contact history with the one and the other member is a member ID having a high degree of correlation. An extractor for extracting;
Providing a keyword extracted by the extraction unit, a member ID and personal information corresponding to the member ID to the member terminals corresponding to the one and other member IDs by the transmission and reception,
In the extraction unit,
(1) extracting a highly correlated keyword having a matching degree equal to or higher than a predetermined threshold for each keyword included in the personal information of the one member by referring to the keyword correlation database;
(2) For each of the keywords included in the personal information of the one member, count the number of matches between the extracted highly correlated keyword and the keyword included in the personal information of the other member,
(3) An information providing system characterized in that a keyword whose number of matches is equal to or greater than a predetermined number is extracted as the “keyword having a high degree of correlation between the one and the other members” . The extraction unit is
A plurality of predetermined threshold values for setting the highly correlated keyword are set, and a predetermined threshold value to be applied is selected so that the number of members extracted as a member ID having a high degree of correlation does not exceed a predetermined number. The information providing system according to claim 1 or 2.   The information provision according to any one of claims 1 to 3, further comprising an ID exchange history database that retains the provision of the member ID and personal information provided to the one and other member IDs by the provision unit as a history. system. One and the other member ID provided by the providing unit are stored in the member personal information database, the personal information of a plurality of member IDs stored in the member personal information database is searched, and the member including the other member ID in common The information providing system according to claim 1, 3 or 4, wherein an ID is extracted.

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