METHOD FOR CALCULATING RESOURCE POINTS OF RESOURCE INFORMATION AND DISTRIBUTING POINTS

• US 20110093457A1
• Filed: 06/15/2009
• Published: 04/21/2011
• Est. Priority Date: 06/13/2008
• Status: Abandoned Application

• Current Assignee: KDDI Corporation
• Original Assignee: KDDI Corporation
• Inventors: Kobayashi, Arei
• Application Number:
  US12/997,745
• Publication Number:
  US 20110093457A1
• Time in Patent Office: Days
• US Class Current: 707/723
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

An object of the present invention is to provide a system and method that provides an objective value evaluation with respect to various resources to be posted to a community by users over a network and accumulated in a database; and which allows this value to be distributed within the community. The system generates an association (link) with respect to the various resources to be accumulated in the database according to a content of an automatically retrieved tag as well as user behavior over the resource. Using these resources and their associations, the system automatically provides an objective valuation with respect to the entire community by a predetermined valuation method and further associates the points based on this valuation with the resource thereby to present the user a relative value within the community, wherein further based on the points, given points will be taken as a reward dividend to be allotted and distributed to the user who has posted the resource, thus allowing the points to be distributed in the community.

Claims

1. A system operable with respect to a resource to be input by a user via an interface to calculate and output point for said resource, said system comprising:

a first storage means operable to store said resource, a resource ID for identifying said resource and a first resource median value associated with said resource ID;

a second storage means operable to store one or more piece(s) of resource-tag association information including one of said resource IDs and a tag ID associated with said one of said resource IDs, said tag ID for identifying a tag to be retrieved from said resource identified by said resource ID;

a first generation means operable to generate a resource list corresponding to a value of the hop number with respect to one resource ID based on said one or more piece(s) of resource-tag association information stored in said second storage means repeatedly by sequentially incrementing the value of said hop number from 1, wherein each one of said resource lists to be generated contains one or more said resource ID(s) and based on said resource ID contained in said resource-tag association information, which further associates therewith each said tag ID associated with each said resource ID contained in the last generated said resource list;

a first calculation means operable to calculate the first resource median value for said one resource ID based on the value of said hop number and the values of said first resource median values, each respectively associated by said first storage means with each of said resource IDs contained in said resource list corresponding to the value of said hop number;

a second calculation means operable to further calculate said point for said resource identified by said one resource ID based on said first resource median value calculated by said first calculation means; and

a presentation means operable to present said point calculated by said second calculation means on said interface.

2. A system in accordance with claim 1, wherein

said resource list having the value of said hop number of 1 to be generated in said first generation means is generated by subtracting said one resource ID from a sum set of said resource IDs contained in said resource-tag association information, which further associates therewith each said tag ID associated by said second storage means with said one resource ID;

and

each of said resource lists having 2 or greater value taken as the value of said hop number to be generated in said first generation means is generated by retrieving new said resource IDs, each of which is not contained in any already generated said resource lists corresponding to any of the values of said hop number from a sum set of said resource IDs contained in said resource-tag association information that further associates therewith each of said tag IDs associated respectively with said resource IDs contained in said last generated resource list.

3. A system in accordance with claim 2, wherein further,

said first generation means is operable to generate said resource list repeatedly until there are no more said new resource IDs to be retrieved or the incremented value of said hop number has reached a given value.

4. A system in accordance with claim 1, wherein further,

said first storage means operable to store a second resource median value associated with said resource ID, said system comprising:

a third storage means operable to store one or more piece(s) of user behavior correspondence information including;

one of said resource IDs;

a user ID associated with said one of said resource IDs, said user ID for identifying said user; and

a behavioral classification for identifying a relation between said one of said resource IDs and said user ID;

a third calculation means operable to calculate a user valuation value with respect to each one of said user IDs associated with said one resource ID based on said one or more piece(s) of user behavior correspondence information stored in said third storage means, wherein with respect to each one of said user IDs, said third calculation means calculates said user valuation value for said user ID based on;

the value of said second resource median value, which is further associated by said first storage means with said resource ID in said user behavior correspondence information that associates therewith said user ID;

the value indicative of said behavioral classification for identifying a relation between said resource ID in said user behavior correspondence information, which associates therewith said user ID and said user ID; and

the value indicative of said behavioral classification for identifying the relation between said one resource ID and said user ID in said third storage means; and

a fourth calculation means operable to calculate said second resource median value for said one resource ID based on said user valuation value for each one of said user IDs calculated in said third calculation means.

5. A system in accordance with claim 4, further comprising:

a fourth storage means operable to store said user ID and a user median value associated with said user ID;

a fifth storage means for storing one or more piece(s) of user association information including one of said user IDs, other said user IDs associated with said one of said user IDs and a user association type for identifying a relation between said one of said user IDs and said other user IDs; and

a fifth calculation means operable to calculate the value of said user median value to be stored in said fourth storage means with respect to one user ID, wherein the value of said user median value to be stored is calculated based on;

the value of each said user median value, which is further associated by said fourth storage means with each one of said other user IDs associated with said one user ID stored in said fifth storage means; and

each said user association type for identifying the relation between said one user ID and each of said other user IDs, wherein

said second resource median value of said one resource ID to be calculated by said fourth calculation means is calculated further based on the value of each of said user median values, which is further associated by said fourth storage means with each of said user IDs in said user behavior correspondence information associated with said one resource ID stored in said third storage means.

6. A system in accordance with claim 4, wherein said behavioral classification includes questioning, answering, negative rating, positive rating, and/or viewing, and the value indicative of said behavioral classification is set as weighted corresponding to each said behavioral classification.

7. A system in accordance with claim 5, wherein said user association type includes favored user registration and/or denied user registration.

8. A system in accordance with claim 4, wherein further,

said first storage means is operable to store a resource demand-supply value associated with said resource ID, and said system comprises:

a sixth calculation means with respect to said one resource ID operable to calculate the value of said resource demand-supply value associated with said one resource ID to be stored in said first storage means, based on;

said first resource median value, which has been calculated by said first calculation means; and

said second resource median value that has been calculated by said fourth calculation means.

9. A system in accordance with claim 8, wherein the value of said resource demand-supply value to be calculated and stored by said sixth calculation means is based on a value from division between said second median value and said first median value.

10. A system in accordance with claim 9, wherein said point for said resource identified by said one resource ID to be calculated by said second calculation means is calculated in accordance with normalization of the value of said resource demand-supply value associated with said one resource ID in said first storage means within a given range in relation to the values of all said resource demand-supply values associated with all said resource IDs stored in said first storage means.

11. A system in accordance with claim 1, comprising:

a sixth storage means operable to store said point for said resource identified by said resource ID and the time and date when the calculation of said point for said resource has been made by said second calculation means, wherein said time and date when the calculation of said point has been made is such time and date, including the time and date when said resource has been input as well as a timing by a fixed interval, a fixed time and/or any timing as set, said system characterized in that

said presentation means is further operable to create and present on said interface a resource points transition graph with respect to said resource identified by said one resource ID, which is based on said time and date and said point associated with said one resource ID stored in said sixth storage means.

12. A method to be carried out on a server, said server comprising a database within a storage unit, said database containing:

a resource table for storing two or more pieces of resource information including a resource, a resource ID for uniquely identifying said resource and a resource point;

a tag table for storing two or more pieces of tag information including a tag and a tag ID for uniquely identifying said tag; and

a resource-tag association table for storing one or more piece(s) of resource-tag correspondence information including one of said resource IDs included in said resource information and one or more tag ID(s) associated with said resource ID, wherein said method is carried out by a processing unit further provided on said server equipped with a temporary memory to calculate and store a value of resource point in one piece of said resource information based on the values of said resource points in other pieces of said resource information so as to increase or decrease an account point, said method comprising;

a selection step of selecting a value of said resource ID in one piece of said resource information stored in said resource table;

a first resource list generation and storage step including;

retrieving the values of said tag IDs in said resource-tag correspondence information having the value of said selected resource ID as the value of said resource ID in said resource-tag correspondence information;

further, retrieving the resource IDs in said resource-tag correspondence information having the values of said retrieved tag IDs as the value of said tag IDs in said resource-tag correspondence information;

generating a list composed of the values of said resource IDs, which are determined by deleting the value of said selected resource ID from a sum set of the values of said retrieved resource IDs, as a resource list corresponding to the hop number of 1 taken as said hop number with respect to said selected resource ID; and

storing the thus generated list into said temporary memory;

a second resource list generation and storage step of generating said hop number correspondent resource list with the value of said hop number, which is an integer of 2 or greater, repeatedly by incrementing the value of said hop number from 2 until a given condition is satisfied and storing the thus generated list into said temporary memory, said second resource list generation and storage step including;

retrieving the values of said tag IDs in said resource-tag correspondence information having the values of said resource IDs included in the last generated said hop number correspondent resource list as the values of said resource IDs in said resource-tag correspondence information;

further, retrieving the values of said resource IDs in said resource-tag correspondence information having the values of said retrieved tag IDs as the values of said tag IDs in said resource-tag correspondence information; and

generating a list composed of the values of said resource IDs, which are determined by deleting the values of said resource IDs included respectively in all first resource lists stored in said temporary memory from a sum set of the values of said retrieved resource IDs, as said hop number correspondent resource list, which list will be repeatedly generated;

a first calculation step of calculating a first resource median value with respect to said one piece of resource information based on the values of said hop numbers as well as the values of said resource points in said resource information having the values of said resource IDs included in each said hop number correspondent resource list corresponding to the value of said hop number as the values of said resource IDs in said resource information stored in said resource table; and

a second calculation step of calculating first point with respect to said one piece of resource information based on said calculated first resource median value and storing said first point as the value of said resource point in said one piece of resource information into said resource table, wherein said method is executed by said processing unit at a first timing.

13. A method in accordance with claim 12 executed by said processing unit, characterized in that:

said resource information to be stored in said resource table includes initial resource point associated with said resource ID, said method further comprising;

a resource storage step of newly storing one or more piece(s) of first text newly input via an interface, each as a new resource in said resource information, along with each the value of said resource ID in said new resource information and the value of said initial resource point, in said resource table;

a tag retrieval and storage step for newly storing each new second text that is to be retrieved respectively from said one or more piece(s) of said first text, which has been newly stored by said resource storage step and that has not yet been stored as the tag in said tag information stored in said tag table, as the tags in new said tag information, along with the values of said tag IDs in said new tag information, in said tab table; and

a step of storing new said resource-tag correspondence information including the value of said resource ID in said new resource information that has been stored by said resource storage step and the values of said tag IDs in said new tag information that has been stored by said tag retrieval and storage step in said resource-tag association table,

wherein the value of said initial resource point for said new resource information that has been stored by said resource storage step is calculated, at the time of an input via said interface taken as said first timing, by selecting the value of said resource ID in said new resource information in said selection step followed by a series of said first resource list generation and storage step, said second resource list generation and storage step, said first calculation step and said second calculation step.

14. A method in accordance with claim 13, characterized in that said second texts to be retrieved from said first text by said tag retrieval and storage step is retrieved by:

retrieving a group of first keywords including one or more first keyword(s) from said first text;

using each first keyword in said retrieved group of first keywords to make a search over a text set comprising a plurality of pairs of words and the descriptions to be stored in a second database that is to be stored in a storage unit of a second server configured on the network in coordination with said database of said server with the aid of an application interface, for said word corresponding to each said first keyword so as to obtain said description for said word matched with said first keyword;

further, retrieving a group of second keywords including one or more second keyword(s) from the thus obtained said description; and

using each said second keyword included in the group of said retrieved second keywords to make a search over said resources in said resource information in said resource table and deleting those said second keywords that have been stored in excess of a given number from the group of said second keywords so as to retrieve said second texts.

15. A method in accordance with claim 13, wherein further, said database contains a user history table for storing two or more pieces of user behavior correspondence information including:

one of said resource IDs included in said resource information in said resource table; and

one or more user ID(s) and the corresponding behavioral classification associated with said one of said resource IDs, said method comprising;

a behavioral classification retrieval step of retrieving;

the value(s) of said one or more user ID(s) in said user behavior correspondence information having the value of said resource ID in said one piece of resource information selected by said selection step as the value of said resource ID in said user behavior correspondence information stored in said user history table; and

the value of its first said corresponding behavioral classification, and storing the thus retrieved values in a temporary memory;

a third calculation step of calculating a valuation value for one user ID repeatedly for every one of the values of said retrieved one or more user ID(s) and storing the thus calculated valuation value in said temporary memory, said third calculation step including;

a series of steps comprising;

retrieving the value(s) of one or more resource ID(s) and the value(s) of its second said corresponding behavioral classification included in said user behavior correspondence information having the value of said one user ID as the value of said user ID in said user behavior correspondence information stored in said user history table;

generating a list, which is created by deleting the value of said selected resource ID from a sum set of the values of said retrieved one or more resource ID(s), as a second resource list with respect to said selected resource ID; and

storing the thus generated second resource list in said temporary memory; and

a series of steps comprising;

calculating the valuation value for said one user ID based on;

the value of said first behavioral classification retrieved at said behavioral classification retrieval step;

the value of said resource point in said resource information having the value of each said resource ID included in said generated second resource list as the value of said resource ID in said resource information stored in said resource table; and

the value of said retrieved second behavioral classification with respect to the value of said resource ID in said resource information; and

storing the thus calculated valuation value for said one user ID in said temporary memory;

a step of calculating a second resource median value with respect to said one piece of resource information based on each said valuation value for said retrieved one or more user ID(s); and

a step of further calculating second point with respect to said one piece of resource information based on said calculated first resource median value and said calculated second resource median value, both with respect to said one piece of resource information and storing the thus calculated second point as the value of said resource point for said one piece of resource information in said resource table, wherein said method is executed by said processing unit at said first timing.

16. A method in accordance with claim 15, further comprising third point storage step, said step including:

with respect to each of the values of said resource IDs in all pieces of said resource information stored in said resource table, making a selection for retrieval as said resource ID in said one piece of resource information at said selection step;

subsequently calculating the values of said first resource median values for said all pieces of resource information and the values of said second resource median values for said all pieces of resource information, respectively, through the series of steps including said first resource list generation and storage step, said second resource list generation and storage step, said first calculation step and said second calculation step;

based on a ratio of the sum of calculated said first resource median values to the sum of calculated said second resource median values, calculating third points for said all pieces of resource information, respectively, and storing the thus calculated said third points into said temporary memory, wherein the thus respectively calculated third points are stored respectively as the values of said resource points in said all pieces of resource information into said resource table, wherein said method is executed by said processing unit at said first timing.

17. A method in accordance with claim 16, further comprising a user table for storing two or more pieces of user account information including said user ID for uniquely identifying a user and account point associated with said user ID, wherein

said two or more pieces of resource information to be stored in said resource table further contain, respectively, one posting user ID associated with said resource ID in said resource information, the value of said posting user ID representing the value of said user ID of said user who has posted said first text;

and

said behavioral classification in said two or more pieces of user behavior correspondence information stored in said user history table includes those representing questioning, answering, negative rating, positive rating, and viewing whose corresponding values are taken as the values of said behavioral classification;

said method comprising;

said resource storage step, which works to store the value of said user ID of the user who has input said first text via said interface as the value of said posting user ID in said new resource information,

while concurrently storing said user behavior correspondence information including the value of said resource ID in said new resource information, the value of said posting user ID in said new resource information and the value of any one of said behavioral classifications other than the viewing, which corresponds to the one that has been selected by said user, in said user history table; and

a step occurring at the time when any one of the values of said resource IDs of said resources included in said all pieces of resource information stored in said resource table is specified by any said user via said interface so as to store said user behavior correspondence information including the value of said specified resource ID, the value of said user ID identifying said user who has invoked said specification and the value corresponding to said classification representing the viewing in said user history table, wherein said method is executed by said processing unit.

18. A method in accordance with claim 17, further comprising:

a point investment step characterized by subtracting the initial resource point in said new resource information stored in said resource table from the value of said account point in said user account information, which has the value of said posting user ID in said new resource information as the value of said user ID in said user account information stored in said user table and then further storing a result from said subtraction as the value of said account point in said user account information into said user table so as to increase or decrease the value of said account point,

wherein every piece of tag information stored in said tag table further comprises tag point, wherein the tag point in one piece of said tag information can take for storage a value from summation of the resource point in said resource information that further has, as the value of said resource ID in said resource information stored in said resource table, the value(s) of one or more resource ID(s) in said resource-tag correspondence information having the value of said tag ID in one piece of said tag information as the value of said tag ID in said resource-tag correspondence information stored in said resource-tag association table, said method further comprising;

a fourth point calculation and storage step occurring at said first timing to calculate the fourth points for all pieces of said tag information and store each of the values of said fourth point as the value of said tag point in said tag information in said tag table;

a reward distribution step including;

at the second timing as specified when said first text of said resource in said new resource information has been input via said interface, selecting the value of said resource ID in said new resource information by said selection step;

generating said hop number correspondent resource list having said hop number of 1 with respect to said resource ID in said new resource information by said first resource list generation and storage step;

summing up the values of said tag points in pieces of said tag information, each of which further has, as the value of said tag ID in said tag information stored in said tag table, the value(s) of said one or more tag ID(s) in said resource-tag correspondence information, each having the value of each resource ID included in said hop number correspondent resource list as the value of said resource ID in said resource-tag correspondence information stored in said resource-tag association table to calculate thereby each total value of said tag points with respect to each resource ID included in said hop number correspondent resource list having said hop number of 1 and storing the thus calculated value in said temporary memory;

calculating each value of point to be allotted with respect to each said resource ID included in said hop number correspondent resource list from the value of said initial resource point in said new resource information stored in said resource table based on the ratio of the sum of the values of said stored tag points and storing the thus calculated each value of said point in the temporary memory; and

adding each value of said stored point to be allotted to each value of the account point in said user account information that further has, as the value of said user ID in said user account information in said user table, the value of said posting user ID in said resource information that has the value of each said resource ID included in said hop number correspondent resource list as the value of said resource ID in said resource information stored in said resource table, and storing each result from the addition taken as the value of said account point in said user account information in said user table, wherein said method is executed by said processing unit.

19. A method in accordance with claim 18, wherein said database further comprises an operation management table for storing two or more pieces of management information including point to be paid, point to be collected, and a time of points movement in the reward distribution, said method further comprising:

a first management information storage step of storing in said operation management table, said management information including the value of said initial resource point in said new resource information stored in said resource table taken as the value of said point to be paid, a difference between the value of said resource point in said new resource information and the total value of allotted points stored in said temporary memory taken as the value of said point to be collected and the time of said second timing taken as the value of said time of points movement, wherein said method is executed by said processing unit.

20. A method in accordance with claim 19, characterized in further comprising a process occurring at a third timing and including:

a step of multiplying each value of said account point included in every piece of said account information stored in said user table by a given rate;

truncating values at decimal places from the result from said multiplication to yield an integer;

subtracting the thus yielded integer from each value of said account point; and

storing the result from said subtraction taken as the value of said account point in said user account information in said user table (41); and

a second management information storage step of storing in said operation management table, said management information including said integer value taken as the value of said point to be paid as well as the value of said point to be collected in said management information to be stored in said operation management table and the time of said third timing taken as the value of said time of points movement, wherein said method is executed by said processing unit.

21. A method in accordance with claim 20, wherein said database further comprises a points distribution management table for storing two or more pieces of points distribution information including total distribution point, said method comprising a process occurring at said first timing and including:

a step of calculating a total sum of the values of said points to be paid included in said management information with the value of said time of point movement falling within a given range, among those pieces of said management information stored in said operation management table by said first management information storage step and/or said second management information storage step and storing the thus calculated value of said total sum taken as the value of said total distribution point into said points distribution management table;

a step of calculating a total distribution points increase rate by taking a ratio of the value of said total distribution point that have been thus stored to the total distribution point in the last stored said points distribution information among those pieces of points distribution information that have been already stored and storing the thus calculated total distribution points increase rate in said temporary memory; and

a step of calculating and storing fifth point with respect to said new resource information, said step including;

calculating the fifth point based on the fourth point that have been calculated with respect to said new resource information by said fourth point calculation and storage step and the total distribution points increase rate that has been stored in said temporary memory and storing the thus calculated point taken as the value of resource point in said newly input one piece of resource information into said resource table, wherein said method is executed by said processing unit.