Information processing method, display method, information processing device, terminal device, and information processing program

Abstract

A use history that at least associates a use subject identifier for identifying a user or a terminal device a user has used with a used item identifier, which is an item identifier for identifying an item used by a user, based on use information is stored in a use history storage section. Based on the use history, a degree of similarity between two item identifiers is calculated and using the degree of similarity, associated data causing a base item identifier, which is an item identifier of a base item, and an associated item identifier, which is an item identifier of an associated item similar to the base item to correspond to each other is created. A change value to change a point value managed for each use subject identifier is calculated.

What is claimed is: 
     
         1 : An information processing method performed by an information processing server which includes a central processing unit and memory, the method comprising:
 a usage history storage step of using the central processing unit to store in said memory usage histories that associate a use subject identifier for identifying a first user or a terminal device the first user has used, with a used item identifier, which is an item identifier for identifying an item used by a particular user;   an associated data creation step of calculating, using the central processing unit, a degree of similarity between two item identifiers based on the usage histories and creating associated data that causes a base item identifier and an associated item identifier to correspond to each other using the calculated degree of similarity, wherein when an associated item is used based on the associated data, a usage history causing the use subject identifier, the used item identifier, and specific information to correspond to one another is stored, and wherein the specific information is information capable of specifying a base item identifier corresponding to the associated item identifier of the used item; and   a point distribution calculation step of calculating, using the central processing unit, a change value to change a point value managed for each of the use subject identifiers,   the point distribution calculation step includes:   a previous usage history set formation step of retrieving from memory and selecting one usage history having the specific information from the usage history storage section, and forming a first previous usage history set which is a set of other usage histories being older than the one usage history and satisfying a first condition; and wherein the first condition is any one of a condition where:
 (1) a used item identifier in the other usage histories agrees with the base item identifier specified by the specific information in the one usage history, 
 (2) a used item identifier in the other usage histories agrees with the used item identifier in the one usage history, and 
 (3) a used item identifier in the other usage histories agrees with any of the base item identifiers specified by the specific information in the one usage history and the used item identifier in the one usage history; and 
   a change value calculation step of calculating, using the central processing unit, a change value to change the point value for a user set whose elements correspond to a plurality of use subject identifiers which is at least a part of a set of use subject identifiers included in the first previous usage history set.   
     
     
         2 : The information processing method according to  claim 1 , wherein
 in the previous usage history set formation step, the first condition is the condition where a used item identifier in the other usage histories agrees with the base item identifier specified by the specific information of the one usage history, and a second previous usage history set is formed, which is a set of other usage histories having the same used item identifier as the used item identifier of the one usage history and being older than the one usage history, and   in the change value calculation step, a change value to change the point value is calculated for a user set whose elements correspond to a plurality of use subject identifiers which is at least a part of a set of use subject identifiers included both in the first previous usage history set and in the second previous usage history set.   
     
     
         3 : The information processing method according to  claim 1 , wherein
 in the usage history storage step, the usage histories are stored such that a temporal order of the usage histories can be identified, and   in the previous usage history set formation step, the first previous usage history set is formed by determining whether or not other usage history is older than the one usage history based on the temporal order.   
     
     
         4 : The information processing method according to  claim 1 , wherein
 in the usage history storage step, the usage histories are stored such that each usage history can be identified as a usage history which is not processed or a usage history which has been processed, and   in the previous usage history set formation step, the first previous usage history set is formed by determining whether or not other usage history is older than the one usage history based on information that each usage history is identified as a usage history which is not processed and a usage history which has been processed, and the one usage history is stored in the usage history storage section as a usage history which has been processed.   
     
     
         5 : The information processing method according to  claim 1 , wherein
 in the change value calculation step, the number of times of use that the user or the terminal device uses a predetermined item is calculated for each of the use subject identifiers included in the user set, using the usage histories stored in the usage history storage section, and the change value is calculated so as to equal a value according to the number of times of use.   
     
     
         6 : The information processing method according to  claim 1 , wherein
 in the usage history storage step, the usage histories each that at least associates the use subject identifier, the item identifier and an evaluation value indicating an evaluation level of a user for an item with one another, are stored, and   in the change value calculation step, one use subject identifier included in the user set is selected, an evaluation value corresponding to the one use subject identifier is read out from the first previous usage history set, and the change value corresponding to the one use subject identifier is calculated so as to equal a value according to the evaluation value read out.   
     
     
         7 : The information processing method according to  claim 1 , further comprising
 a user attribute storage step of storing the use subject identifier and user attribute information in association with each other, wherein   in the change value calculation step, the change value is calculated for the use subject identifier associated with the user attribute information which satisfies a predetermined condition, of the use subject identifiers included in the user set.   
     
     
         8 : The information processing method according to  claim 1 , further comprising an item attribute storage step of storing the item identifier and item attribute information in association with each other, wherein
 in the associated data creation step, the associated data is created based on usage histories each including an item identifier associated with the item attribute information which satisfies a predetermined condition, of the usage histories stored in the usage history storage section.   
     
     
         9 : The information processing method according to  claim 1 , further comprising a similarity degree calculation step of calculating a degree of similarity between use subject identifiers, based on the usage histories stored in the usage history storage section, wherein
 in the change value calculation step, the change value is calculated for each of the use subject identifiers included in the user set, according to the degree of similarity between the each of the use subject identifiers included in the user set and a use subject identifier corresponding to the one usage history.   
     
     
         10 : The information processing method according to  claim 1 , further comprising:
 a user attribute storage step of storing the use subject identifier and user attribute information in association with each other; and   an adaptation degree calculation step of calculating a degree of adaptation indicating an adaptation level of the user attribute information for users, wherein   in the change value calculation step, the change value is calculated for each of the use subject identifiers included in the user set so as to equal a value according to the degree of adaptation between the each of the use subject identifiers included in the user set and a use subject identifier corresponding to the one usage history.   
     
     
         11 : The information processing method according to  claim 1 , wherein
 in the change value calculation step, in order to change a point value managed for each combination of the use subject identifier and the item identifier, a change value is calculated for each combination of a use subject identifier of the user set, and a used item identifier corresponding to each of the use subject identifiers in the first previous usage history set.   
     
     
         12 : The information processing method according to  claim 1 , wherein
 in the change value calculation step, the number of users for which the change value has been calculated is calculated.   
     
     
         13 : The information processing method according to  claim 1 , wherein
 in the change value calculation step, the change value is calculated such that the sum total of change values during a predetermined period of time equals a predetermined value.   
     
     
         14 : The information processing method according to  claim 1 , wherein
 in the usage history storage step, the usage histories each that at least associates the use subject identifier, the item identifier and use time information indicating a time when a user has used an item or a time when the usage history storage step has been performed with each other, are stored, and   in the associated data creation step, a usage history in which a time indicated by the use time information is within a predetermined range is extracted from the usage histories, and the associated data is created based on the extracted usage history.   
     
     
         15 : The information processing method according to  claim 1 , wherein
 in the usage history storage step, the usage histories each that at least associates the use subject identifier, the item identifier and use time information indicating a time when a user has used an item or a time when the usage history storage step has been performed with each other, are stored, and   in the change value calculation step, one use subject identifier included in the user set is selected, the use time information corresponding to the one use subject identifier is read out from the first previous usage history set, and the change value corresponding to the one use subject identifier is calculated so as to equal a value according to the use time information read out.   
     
     
         16 : The information processing method according to  claim 1 , wherein
 in the usage history storage step, the usage histories each that at least associates the use subject identifier, the item identifier and information on an amount of money of a user for item use with one another, are stored, and   in the change value calculation step, one use subject identifier included in the user set is selected, the information on the amount of money corresponding to the one use subject identifier is read out from the first previous usage history set, and the change value corresponding to the one use subject identifier is calculated so as to equal a value according to the information on the amount of money read out.   
     
     
         17 : The information processing method according to  claim 1 , further comprising a user attribute storage step of storing the use subject identifier and user attribute information which includes entry time information indicating a time when a user is entitled to use an item, in association with each other, wherein
 in the change value calculation step, one use subject identifier included in the user set is selected, the entry time information corresponding to the one use subject identifier is read out from the first previous usage history set, and the change value corresponding to the one use subject identifier is calculated so as to equal a value according to the entry time information read out.   
     
     
         18 : An information processing device comprising:
 a usage history storage section configured to store usage histories, where each usage history associates a use subject identifier for identifying a user or a terminal device a user has used, with a used item identifier, where the used item identifier identifies an item used by a user;   an associated data creation section configured to calculate a degree of similarity between two item identifiers based on the usage histories stored in the usage history storage section, and create associated data that causes a base item identifier and an associated item identifier to correspond to each other using the calculated degree of similarity,   wherein the base item identifier identifies a base item, and the associated item identifier identifies an associated item similar to the base item; and   a central processing unit configured to calculate a change value to change a point value managed for each of the use subject identifiers,   wherein the usage history storage section stores a usage history, which causes the use subject identifier, the used item identifier, and specific information to correspond to one another when an associated item is used based on the associated data, and wherein the specific information is information capable of specifying a base item identifier corresponding to the associated item identifier of the used item, and wherein   the point distribution calculator comprises:   a previous usage history set formation section configured to select one particular usage history having the specific information from the usage history storage section, and form a first previous usage history set which is a set of other usage histories being older than the one particular usage history and satisfying a first condition; and   a change value calculation section configured to calculate a change value to change the point value for a user set whose elements correspond to a plurality of use subject identifiers which is at least a part of a set of use subject identifiers included in the first previous usage history set, wherein   the first condition is any one of a condition where:   (1) a used item identifier in the other usage histories agrees with the base item identifier specified by the specific information in the one particular usage history,   (2) a used item identifier in the other usage histories agrees with the used item identifier in the one particular usage history, and   (3) a used item identifier in the other usage histories agrees with any of the base item identifiers specified by the specific information in the one usage history and the used item identifier in the one particular usage history.   
     
     
         19 : A non-transitory computer readable medium having a processing program embodied therein, the information processing program causing a computer of an information processing device, which includes a central processing unit and a memory, to execute:
 storing in said memory in a usage history storage section, usage histories that each associate a use subject identifier for identifying a user or a terminal device a user has used, with a used item identifier, which is an item identifier for identifying an item used by a user;   calculating, using said central processing unit, a degree of similarity between two item identifiers based on the usage histories stored in the usage history storage section, and creating associated data that causes a base item identifier and an associated item identifier to correspond to each other using the degree of similarity, wherein the base item identifier is an item identifier of a base item, and the associated item identifier is an item identifier of an associated item similar to the base item; and   a point distribution calculation step of calculating a change value to change a point value managed for each of the use subject identifiers,   wherein when an associated item is used based on the associated data, a usage history causing the use subject identifier, the used item identifier, and specific information to correspond to one another is stored, and wherein the specific information is information capable of specifying a base item identifier corresponding to the associated item identifier of the used item; and wherein   the point distribution calculation step includes:   a previous usage history set formation step of selecting one particular usage history having the specific information from the usage history storage section, and forming a first previous usage history set which is a set of other usage histories being older than the one particular usage history and satisfying a first condition; and wherein the first condition is any one of a condition where:
 (1) a used item identifier in the other usage histories agrees with the base item identifier specified by the specific information in the one particular usage history, 
 (2) a used item identifier in the other usage histories agrees with the used item identifier in the one particular usage history, and 
 (3) a used item identifier in the other usage histories agrees with any of the base item identifiers specified by the specific information in the one particular usage history and the used item identifier in the one usage history; and 
   calculating a change value to change the point value for a user set whose elements correspond to a plurality of use subject identifiers which is at least a part of a set of use subject identifiers included in the first previous usage history set.