JP2014115925A - Action support device, method and program for action support - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an action support device capable of recommending an action to a user who took the action which is similar to a series of actions taken by a certain user.SOLUTION: An action support device includes: an action series information storage unit for storing one or more action series information indicating a series of actions of a user during a prescribed period; a reception unit for receiving the action related information which is the information having the user identifier for identifying the user and the action information for indicating the series of action by the user; an action series determination unit for determining whether or not one or more action information having one or more of respective action related information having the same user identifier among the received one or more action related information is similar to one or more action series information stored to the action series information storage unit enough to meet a predetermined condition; and a processing unit for carrying out the processing for a terminal device of the user by using the action information having the action series information determined to be similar.

Description

  The present invention relates to an action support apparatus that performs processing using information indicating a user's action.

  Conventionally, a user is interested in a device that estimates an attribute of a user from a user's expression history in a blog or the like and provides an appropriate advertisement based on the estimated attribute of the user (see Patent Document 1) or a so-called EC site. A system (see Patent Document 2) that provides information on products related to certain products, information on products further related to the related products, and the like has been developed.

JP2009-145968 JP2010-026666

  However, in a conventional apparatus or system, among a series of actions taken by a user, actions that match a predetermined condition are accumulated as actions corresponding to a predetermined category, or the accumulated actions are I could not recommend it to users.

  The action support apparatus according to the first aspect of the invention is information indicating a series of actions of a user in a predetermined period, and includes one or more sets of action information that is information having one or more action information indicating one action of the user. A series of stored behavior information storage units; and a reception unit that receives information related to one behavior of the user and that is behavior related information that is information having a user identifier for identifying the user and behavior information from the terminal device; Of the one or more behavior related information received by the receiving unit, one or more behavior information possessed by one or more behavior related information having the same user identifier is stored in the series of behavior information storage units. Using a series of behavior determination units that determine whether or not the series of behavior information approximates to satisfy a predetermined condition, and the behavior information included in the series of behavior information determined to be approximated by the series of behavior determination units. An action support apparatus comprising a processing unit that performs processing for the user of the terminal device identified by the child.

  With such a configuration, it is possible to perform some processing on a user who has taken an action similar to a series of actions taken by a certain user.

  In the action support device according to the second aspect of the present invention, the user identifier is a first user identifier that identifies the first user or a second user identifier that identifies the second user. , A category condition storage unit that stores one or more category conditions, which are conditions for determining whether or not a series of user actions in a predetermined period falls under a predetermined category, and a reception unit 1 Of the above behavior related information, a category behavior determination unit that determines whether or not one or more behavior related information in a predetermined period having the same first user identifier matches one of the one or more category conditions; A series of behavior information storage units that store in the series of behavior information storage units a series of behavior information having one or more pieces of behavior information included in one or more pieces of behavior-related information determined to be matched by the category behavior determination unit. The one or more action-related information possessed by one or more action-related information having the same second user identifier among the one or more action-related information received by the receiving unit is a series of action information. It is determined whether or not it approximates to any one of one or more series of behavior information stored in the storage unit so as to satisfy a predetermined condition, and the processing unit has an action included in the series of behavior information determined to be approximated by the series of behavior judgment unit It is an action support device that performs processing on the terminal device of the user identified by the second user identifier using the information.

  With such a configuration, of a series of actions taken by a certain user, actions that match a predetermined condition can be accumulated as actions corresponding to a predetermined category.

  In addition, the action support device according to the third aspect of the invention relates to the action of the first or second invention by using the action information included in the series of action information determined to be approximated by the series of action determining units. A behavior support apparatus comprising recommendation information generation means for generating recommendation information indicating a recommendation, and transmission means for transmitting the recommendation information generated by the recommendation information generation means to a user terminal device identified by a user identifier.

  With such a configuration, the action accumulated as the action that matches the predetermined condition can be recommended to other users.

  The action support device according to the fourth aspect of the invention uses the action information included in the series of action information that the series of action determination units have determined to be approximate to any one of the first to third inventions. , Privilege information generating means for generating privilege information that is information indicating a privilege, and privilege granting means for performing processing for granting the privilege indicated by the privilege information generated by the privilege information generating means to the user identified by the user identifier. It is an action support apparatus provided.

  With such a configuration, a privilege can be given to a user who takes an action that approximates the action accumulated as an action that matches a predetermined condition.

  In the action support device according to the fifth aspect of the present invention, one or more series of action information associated with a user identifier is stored in the series of action information storage unit in any one of the second to fourth inventions. The behavior information included in the behavior related information having the second user identifier among the behavior related information received by the receiving unit after the processing on the terminal device is performed and the behavior information used when performing the processing are When it is determined that the recommended action determining unit and the recommended action determining unit match, a reward information generating unit that generates reward information, which is information indicating a reward, and a reward information generating unit are generated. An action support device further comprising a reward granting unit that performs a process of giving a reward indicated by the reward information to a user identified by the first user identifier associated with the series of action information used when processing the terminal device. It is.

  With such a configuration, it is possible to give a reward to a user who has accumulated an action that has taken an action that matches a predetermined condition.

  In the action support device of the sixth aspect of the invention, in contrast to the fifth aspect of the invention, the reward information generation unit includes one or more contribution management information having a user identifier and one or more contributions of the user to the action. Is associated with the same user identifier as the first user identifier associated with the series of behavior information used when processing the terminal device among the one or more contributions. It is an action support device provided with reward information generation means for generating reward information according to the contribution level.

  With such a configuration, a privilege can be given to the user in accordance with the number of times of taking an action that matches a predetermined condition.

  In addition, the behavior support device according to the seventh aspect of the present invention includes a behavior frequency calculation unit that calculates a behavior frequency that is a frequency at which the recommended behavior determination unit determines that the behavior information matches the fifth or sixth invention. Further, the processing unit is an action support device that performs processing on the terminal device of the user identified by the second user identifier using the action frequency calculated by the action frequency calculation unit.

  With such a configuration, it is possible to notify the user of the frequency of taking an action that matches the recommended action.

  The action support apparatus according to the eighth aspect of the invention is an action support apparatus according to any one of the first to seventh aspects, wherein the action related information includes credit card use information that is information related to use of a credit card. is there.

  With such a configuration, it is possible to determine whether or not the action matches a predetermined condition using credit card usage information.

  In addition, the action support device according to the ninth aspect of the present invention provides the action support having action information related to use of public transport, which is information related to use of public transport, as opposed to any one of the first to eighth aspects of the invention. Device.

  With such a configuration, it is possible to determine whether or not the action meets a predetermined condition using the public transportation usage information.

  According to the action support apparatus and the like according to the present invention, among a series of actions taken by a certain user, actions that match a predetermined condition are accumulated as actions corresponding to a predetermined category, Or recommend to other users.

The figure which shows the conceptual diagram of the information processing system 1 in Embodiment 1. FIG. Block diagram of the action support device 11 Block diagram of the terminal device 12 A flowchart for explaining the overall operation of the action support device 11 The flowchart explaining the process using the same action information Flowchart explaining processing related to the recommended action Flow chart for explaining the overall operation of the terminal device 12 Diagram showing an example of the same category condition The figure which shows the example of the same action information The figure which shows the example of the recommendation information The figure which shows the example of the privilege management information The figure which shows the example of the user privilege management information The figure which shows the example of the privilege provision information The figure which shows the example of the contribution management information Figure showing an example of the reward information The figure which shows the example of the same reward giving information Overview of the computer system in the above embodiment Block diagram of a computer system in the above embodiment

  Hereinafter, embodiments of an action support apparatus and the like according to the present invention will be described with reference to the drawings. In addition, since the component which attached | subjected the same code | symbol in embodiment performs the same operation | movement, description may be abbreviate | omitted again. In addition, the format, content, and the like of each information described in this embodiment are merely examples, and the format, content, and the like are not limited as long as the meaning of each information can be indicated.

(Embodiment 1)
In the present embodiment, a series of user actions that match a predetermined condition are accumulated, and a user who takes an action that approximates the accumulated series of actions is recommended to recommend actions or actions. The information processing system 1 that provides a privilege will be described.

  First, the information regarding a user's action is demonstrated. Information indicating one action of the user is set as action information. Further, information indicating a situation at the time of one user's action is referred to as action status information. Further, information related to one action of the user is set as action related information. The behavior related information is usually information having behavior information and behavior status information. Also, information indicating a series of user actions during a predetermined period is set as series action information. The series of behavior information usually includes two or more pieces of behavior information. Further, the action information included in the series of action information may be one or more, for example.

  The behavior information is information indicating, for example, where and what the user has done. That is, the action information is action place information indicating the place of action, action content information indicating the contents of action, and the like. The action place information is, for example, information indicating a store name, a store name, a station name, a stop name, a hotel name, and the like. Moreover, action content information is information which shows having purchased, boarded, having stayed, etc., for example. The behavior information may be information indicating a purchased item, a boarding section, the number of staying days, a payment amount, a payment method, and the like. The purchased item may be a tangible item or an intangible item. A tangible object is usually a so-called commodity. Intangibles are usually so-called services. Further, the behavior information may be any type or content as long as it can indicate the user's behavior.

  Also, the behavior status information is, for example, ambient status information indicating a surrounding status at the time of the user's behavior, user status information indicating a status of the user at the time of the behavior, or the like. The ambient state information is information indicating, for example, weather, date and time (date, time), day of the week, position, and the like. As long as the surrounding situation information indicates the surrounding situation, the type and contents thereof are not limited. The user status information is information indicating physical condition, health condition, body temperature, blood pressure, and the like. The user status information may be of any type or content as long as it indicates the user status.

  In addition, the behavior status information may be, for example, credit card usage information or public transportation usage information. Credit card usage information is information relating to the use of a credit card. The credit card usage information is information indicating, for example, whether or not a credit card is used, a payment amount at the time of use, a payment method, and the like. The public transport usage information is information related to the use of public transport. The public transport use information is information indicating, for example, whether or not the public transport is used, the name of the public transport, the boarding section, and the like.

  In addition, the behavior status information may be post information that is information posted by a user on a so-called post site, for example. The posting site is, for example, a so-called blog or SNS (Social Networking Service). The posted information includes what is called an entry in a blog, a tweet in a SNS, a diary, and the like.

  The behavior status information may be any content or type as long as it is information indicating a matter associated with one behavior of the user. Further, the behavior status information may be a kind of behavior information.

  In addition, the behavior related information usually has a user identifier for identifying the user. As long as the user identifier can identify the user, the format and type thereof are not limited. The user identifier may be a terminal identifier that identifies a terminal device owned by the user, for example.

  In addition, a series of behavior information is usually associated with a user identifier. The user identifier may be included in a series of behavior information, for example. Further, for example, a terminal identifier may be associated with one or more pieces of action information included in the series of action information. The terminal identifier is, for example, one that identifies the terminal device 12 owned by the user or one that identifies the terminal device 12 used by the user. The series of behavior information may be associated with period information indicating a predetermined period, for example. Further, the period information may be included in a series of behavior information, for example.

  In addition, when the series of behavior information includes two or more pieces of behavior information, the two or more pieces of behavior information usually have order. That is, the two or more pieces of behavior information included in the series of behavior information indicate the order of the behavior indicated by the behavior information according to the order. The order is usually indicated by date / time information, time information, or other information indicating the order. In addition, when the series of behavior information includes two or more behavior information, the two or more behavior information may not have order, for example.

  Further, hereinafter, a user in which information related to the taken action and information for identifying the user are appropriately referred to as a first user and a first user identifier. In addition, hereinafter, information for identifying a user to whom an action is recommended or a privilege and the user are appropriately referred to as a second user and a second user identifier.

  FIG. 1 is a conceptual diagram of an information processing system 1 in the present embodiment. In FIG. 1, the action support device 11 and the terminal device 12 are normally connected via a network 13. The behavior support device 11 is a server that receives, for example, information related to user behavior from the terminal device 12 or transmits information related to recommended behavior to the terminal device 12. The terminal device 12 is usually 1 or more, but may be 2 or more. Moreover, the terminal device may be owned by each user, for example, or may be used by any user. The terminal device 12 is, for example, a reader of various IC cards such as a credit card or a railway boarding card, a so-called cash register, or a portable terminal such as a smartphone or a mobile phone. The terminal device 12 usually has a function of receiving a user's action and information related to the action, a function of transmitting the information, a function of receiving information related to the action, and a function of outputting the received information. As long as it is, the type and form are not limited. Moreover, the mode of output is not ask | required. The network 13 is a wired or wireless communication line. The network 13 is, for example, the Internet, an intranet, a LAN (Local Area Network), a public telephone line network, or the like.

  FIG. 2 is a block diagram of the action support apparatus 11 in the present embodiment. The behavior support apparatus 11 includes a category condition storage unit 1101, a series of behavior information storage unit 1102, a reception unit 1103, a category behavior determination unit 1104, a series of behavior information storage unit 1105, a series of behavior determination unit 1106, a processing unit 1107, and a recommended behavior determination unit. 1108, a reward information generating unit 1109, a reward giving unit 1110, and an action frequency calculating unit 1111. Further, the processing unit 1107 includes recommendation information generation means 11071, privilege information generation means 11072, privilege provision means 11073, and transmission means 11074. The reward information generation unit 1109 includes contribution management information storage means 11091 and reward information generation means 11092.

  FIG. 3 is a block diagram of the terminal device 12 in the present embodiment. The terminal device 12 includes a terminal reception unit 1201, a terminal transmission unit 1202, a terminal reception unit 1203, and a terminal output unit 1204.

  The category condition storage unit 1101 stores one or more category conditions. The category condition is a condition for determining whether or not a series of user actions in a predetermined period corresponds to a predetermined category. The predetermined period indicates an action break or an action cycle. The predetermined period is usually one day. The predetermined period may be, for example, one week, one month, 100 hours, or the like. In addition, the predetermined category generally indicates what kind of day the result of a series of user actions during a predetermined period has occurred, what kind of actions the series of actions were, and the like. “What day” is, for example, a happy day, a good day, a fun day, or the like. In addition, “how did you act” means dating, shopping, sightseeing, and so on.

  In addition, the category condition is usually a condition related to a series of user actions in a predetermined period. Specifically, the category condition is usually a condition related to one or more action related information. The behavior related information includes behavior information, behavior status information, and the like. Therefore, the category condition is also a condition regarding action information, action situation information, and the like. The category conditions are, for example, “Purchased a predetermined product”, “Purchased at a predetermined store”, “Purchased a predetermined product at a predetermined store”, “Predetermined train at a predetermined time zone” That I got on. " In addition, the category condition is specifically “purchasing a ring and then eating a dish at a French restaurant” or “purchasing coffee at a store A and then purchasing a coffee at a store B”, “Purchasing gum at three or more stores on a clear day”, “Taking trains continuously for a predetermined time or more and then posting to the posting site”, “Predetermined every predetermined time “Stopping at the store”, “Being clear at the beginning of the action and clear at the end of the action”.

  Further, for example, category information indicating a predetermined category may be associated with the category condition. The category information includes, for example, “happy day”, “good day”, “fun day”, “date”, “shopping”, “tourism”, and the like.

  Further, one or more category conditions stored in the category condition storage unit 1101 are usually conditions for determining whether or not one category is satisfied. Further, the one or more category conditions may be, for example, conditions for determining whether each category corresponds to a different category.

  The series of behavior information storage unit 1102 stores one or more series of behavior information. The series of behavior information is usually associated with a user identifier.

  The receiving unit 1103 receives one or more behavior related information from the terminal device 12. Each of the behavior related information usually has a user identifier. Moreover, each said action relevant information may have a terminal identifier separately from a user identifier, for example. Further, the user identifier and the terminal identifier may be associated with each action related information.

  The category behavior determination unit 1104 determines whether or not one or more behavior related information matches any of the one or more category conditions. The one or more behavior related information is the behavior related information received by the receiving unit 1103. The one or more category conditions are category conditions stored in the category condition storage unit 1101.

  The category action determination unit 1104 normally determines whether one or more action-related information having the same user identifier among the one or more action-related information matches one of the one or more category conditions. . At this time, the category behavior determination unit 1104 normally performs the above determination for each of one or more behavior related information in a predetermined period. In other words, one or more behavior-related information that can be determined to be behavior-related information of the same user by having the same user identifier for one or more behavior-related information received by the receiving unit 1103 during a predetermined period. For each piece of information, it is determined whether or not any of the category conditions is met.

  Specifically, the category behavior determination unit 1104, for example, every time the reception unit 1103 receives behavior related information from the start to the end of a predetermined period, the user having the behavior related information in the behavior related information. For each identifier, the information is sequentially stored in a predetermined storage area or an arbitrary storage area. Then, the category behavior determination unit 1104 sequentially determines whether or not one or more category-related conditions are met for one or more behavior-related information for each user identifier stored in the storage area. Note that the category behavior determination unit 1104 usually acquires one or more behavior related information determined to match as a result of the determination from the storage area. When the predetermined period ends, the category behavior determination unit 1104 normally deletes all behavior related information stored in the storage area.

  The timing of the above determination is usually determined in advance. The timing is, for example, after the end of a predetermined period, or after receiving behavior related information satisfying a predetermined condition for one user, or after receiving a predetermined number or more of behavior related information. The predetermined condition is, for example, “being behavior-related information having post information” or “being behavior-related information transmitted after a predetermined time”.

  For example, it is assumed that one or more behavior-related information is, for example, “Store A | Purchase | Coffee”, “Store B | Purchase | Bento”, and “Store C | Purchase | Cigarette”, respectively. “Store A | Purchase | Coffee” means that coffee is purchased at Store A. “Store B | Purchase | Bento” means that a lunch was purchased at store B. Further, “Store C | Purchase | Tobacco” means that tobacco has been purchased at Store C. The category condition is, for example, “(Store A | Purchase | Coffee) → (Store B | Purchase | Bento) → (Store C | Purchase | cigarette)”. The category condition means that the store A has purchased coffee, the store B has purchased lunch, and the store C has subsequently purchased tobacco. In such a case, the category behavior determination unit 1104 determines that the one or more behavior related information matches the category condition.

  Also, for example, one or more pieces of action-related information are displayed in the order of time, for example, “A station | ride | 11: 00”, “B station | get off | 14: 15”, “C hotel | check-in | 14: 30” ”. “A station | ride | 11: 00” means getting on from the A station at 11:00. Also, “B station | get off | 14: 15” means that it got off at B station at 14:15. “C hotel | check-in | 14: 30” means that the hotel checked in at 14:30. Further, it is assumed that the category condition is “boarding time ≧ 3 hours”. This category condition means that the boarding time is 3 hours or more. In such a case, the category behavior determining unit 1104 first calculates the boarding time “3:15” from the behavior related information. Then, since the boarding time matches the category condition, the category action determining unit 1104 determines that the one or more action-related information matches the category condition.

  As described above, the category behavior determination unit 1104 may determine, for example, whether or not one or more behavior related information itself matches the category condition. In addition, the category behavior determination unit 1104 may determine whether information that can be derived from one or more behavior-related information matches the category condition, for example.

  When category information is associated with the category condition, the category behavior determining unit 1104 usually acquires the category information associated with the category condition determined to match.

  The series of behavior information accumulation unit 1105 accumulates a series of behavior information having one or more pieces of behavior information in the series of behavior information storage unit 1102. The one or more pieces of behavior information are one or more pieces of behavior information included in the one or more pieces of behavior related information that the category behavior judgment unit 1104 judges to match.

  The one or more behavior related information that the category behavior determination unit 1104 determines to meet the category condition is usually user behavior related information in a predetermined period. Therefore, the series of behavior information accumulation unit 1105 first acquires behavior information from one or more pieces of behavior related information in the predetermined period. Then, the series of behavior information accumulation unit 1105 generates a series of behavior information having the one or more behavior information from the acquired one or more behavior information. Then, the series of behavior information accumulation unit 1105 obtains a user identifier from any one of the one or more behavior related information. Then, the series of behavior information storage unit 1105 stores the generated series of behavior information in the series of behavior information storage unit 1102 in association with the acquired user identifier.

  Further, for example, when generating the series of behavior information, the series of behavior information accumulation unit 1105 may generate the series of behavior information from only a predetermined type of behavior information. For example, when generating the series of behavior information, the series of behavior information storage unit 1105 may generate the series of behavior information only from the behavior information that matches a predetermined condition.

  The series of action determining units 1106 determines whether or not one or more pieces of action information are approximated so as to satisfy a predetermined condition with any one or more of the series of action information. The one or more action information is action information included in one or more action related information having the same user identifier among the one or more action related information received by the receiving unit 1103. Further, the one or more series of behavior information is a series of behavior information stored in the series of behavior information storage unit 1102.

  The predetermined condition is a condition for determining whether the one or more pieces of action information and the one series of action information are approximate. Hereinafter, this condition is appropriately set as an action approximation condition. The behavior approximation condition is usually a condition related to behavior information. The action approximation condition is, for example, that the action place, the action content, the date and time of action, the weather at the time of action, and the like are the same. In addition, the action approximation condition may be, for example, that the ratio of the action place, the action content, or the like is equal to or higher than a predetermined ratio. The behavior approximation condition may be, for example, information indicating a difference between the one or more behavior information and the one series of related information being within a predetermined range. In addition, the action approximation condition is normally held by the series action determination unit 1106.

  Further, “approximate” means that one or more pieces of behavior information and one series of behavior information satisfy a behavior approximation condition.

  That is, determining whether one or more pieces of behavior information approximate one of the one or more series of behavior information so as to satisfy a predetermined condition is that one or more pieces of behavior information and one or more series of behavior information are Is to determine whether or not the behavior approximation condition is satisfied.

  Specifically, the series of behavior determination units 1106, for example, every time the reception unit 1103 receives behavior-related information from the start to the end of a predetermined period, the user having the behavior-related information For each identifier, the information is sequentially stored in a predetermined storage area or an arbitrary storage area. Then, for one or more pieces of action information included in one or more pieces of action related information for each user identifier stored in the storage area, the series of action determining unit 1106 and one of the one or more pieces of series of action information and action approximation conditions in order. It is determined whether or not the approximation is made so as to satisfy. Note that the series of behavior determination unit 1106 normally deletes one or more pieces of behavior information determined to be approximate as a result of the determination from the storage area. The same applies when the predetermined period ends.

  The timing of the above determination is usually determined in advance. For example, the series of action determination units 1106 make the above determination every time action-related information is accumulated in a predetermined storage area or an arbitrary storage area. For example, the series of action determination units 1106 make the above determination every time a predetermined number or more of action related information for one user is accumulated in the storage area. For example, the series of action determination units 1106 make the above determination every time a predetermined time comes.

  Further, the user identifier associated with the behavior information and the user identifier associated with the series of behavior information are usually different. The former user identifier is usually a second user identifier. The latter user identifier is usually the first user identifier.

  For example, it is assumed that one or more pieces of behavior information are, for example, “Store A | Purchase | Coffee” and “Store B | Purchase | Bento” in order of time. Further, the series of behavior information is, for example, “(store D | purchase | coffee) → (store E | purchase | lunch) → (store F | purchase | cigarette)”. The series of action information means that the store D purchased coffee, the store E purchased lunch, and then the store F purchased tobacco. Further, it is assumed that the behavior approximation condition is “purchase order: degree of matching ≧ 50%”. The action approximation condition means that the degree of coincidence in the purchase order of products is 50% or more. It can be seen from the two behavior information that one user has purchased coffee and then purchased a lunch box. In addition, the purchase order matches the first two of the three purchase orders indicated by the series of behavior information. Therefore, the degree of coincidence of the purchase order of the products is “(2/3) × 100% = 66%”. In such a case, the series of action determination unit 1106 determines that the one or more action information approximates the series of action information and the action approximation condition.

  Further, for example, it is assumed that one or more pieces of behavior information are, for example, “XX train | A station | ride” and “XX train | B station | get off” in order of time. “XX Railway | A Station | Ride” means boarding from A station of the XX Railway. Also, “XX Railway | B Station | Getting Off” means that it got off at B station of XX Railway. The series of action information is, for example, “(XX train | C station | ride) → (XX train | D station | get off) → (restaurant XX | meal | course A)”. The series of action information means that the user boarded from the XX railway station C, then got off at the XX railway station D, and then ate the course A at the restaurant XX. Further, it is assumed that the behavior approximation condition is “used railway = same”. The action approximation condition means that the used railway is the same. In such a case, the series of action determination unit 1106 determines that the one or more action information approximates the series of action information and the action approximation condition.

  The processing unit 1107 performs processing on the user terminal device 12 using the behavior information. The action information is usually action information included in a series of action information that the series action determination unit 1106 determines to approximate to one or more action information. In addition, the user is usually a user identified by a user identifier associated with one or more pieces of action information that the series action determination unit 1106 determines to approximate to the series of action information. The user identifier is usually a second user identifier.

  In addition, the “process for the terminal device” means, for example, transmitting predetermined information to the terminal device 12. The predetermined information is, for example, recommendation information indicating a recommendation for an action, privilege grant information indicating that a privilege has been granted, or the like. Further, the process may be, for example, performing a process for the user. The “processing for the user” is, for example, giving a privilege to the user. The giving is, for example, adding privilege information to information managing information related to the user, adding privilege information, or the like.

  In addition, the processing unit 1107 normally performs processing on the user terminal device 12 by means described below.

  The recommendation information generation unit 11071 generates recommendation information indicating a recommendation for the action using the action information. The action information is usually action information included in a series of action information that the series action determination unit 1106 determines to approximate to one or more pieces of action information. Moreover, recommendation information is information which has action information normally. Further, the recommendation information may be action information itself. Moreover, recommendation information is information which shows what action should be taken and what should be done. In addition, generation includes creation, configuration, acquisition, and the like, and is widely understood.

  The recommendation information generation unit 11071 usually acquires one or more pieces of behavior information from the series of behavior information, and generates recommendation information using the behavior information. The one or more pieces of behavior information are usually pieces of behavior information indicating behaviors subsequent to the behavior indicated by the one or more pieces of behavior information used by the series of behavior judgment unit 1106. That is, the one or more pieces of behavior information are usually pieces of behavior information that do not correspond to the one or more pieces of behavior information used by the series of behavior judgment unit 1106 for judgment. In addition, it is preferable that the behavior information to be acquired is usually one, but it may be two or more.

  Here, the one or more pieces of behavior information used for judgment by the series behavior judgment unit 1106 are set as current behavior information. In addition, the one or more pieces of behavior information included in the series of behavior information determined by the series of behavior determining unit 1106 to approximate one or more pieces of behavior information are set as past behavior information.

  For example, it is assumed that one or more current action information is “Store A” and “Store B” in order of time. Further, for example, it is assumed that one or more past action information included in the series of action information is “Store A”, “Store B”, and “Store C” in order of time. In this case, the past action information indicating the action next to the action indicated by the one or more current action information is “store C”. Therefore, in such a case, the recommendation information generating unit 11071 acquires the past action information “Store C”.

  Also, for example, it is assumed that one or more current action information is “Store B” and “Store C” in order of time. Further, for example, it is assumed that one or more past behavior information included in the series of behavior information is “Store A”, “Store B”, and “Store C”. In this case, the past behavior information that does not correspond to one or more current behavior information is “Store A”. However, the past behavior information does not indicate the behavior next to the behavior indicated by the one or more current behavior information. Therefore, in such a case, the recommendation information generating unit 11071 does not acquire the past behavior information “Store A”.

  Further, for example, it is assumed that one or more current action information is “Store A” and “Store B” in order of time. Further, for example, it is assumed that one or more past behavior information included in the series of behavior information is “Store A”, “Store B”, “Store C”, and “Store D”, respectively, in order of time. In this case, the past behavior information indicating the next behavior after the behavior indicated by the one or more current behavior information is “Store C” and “Store D”. Therefore, in such a case, the recommendation information generating unit 11071 acquires the past behavior information “Store C” and “Store D”.

  In addition, said example is an example at the time of considering the order of action information. When the order of the behavior information is not considered, the recommendation information generating unit 11071 usually determines that the series of behavior determination unit 1106 determines from one or more pieces of behavior information included in the series of behavior information used by the series of behavior determination unit 1106. The used behavior information acquires behavior information that does not satisfy a predetermined condition. The predetermined condition is a condition regarding two pieces of behavior information, and is a condition for determining whether or not the two pieces of behavior information match. The predetermined conditions are, for example, that the content of the action is the same, the place of the action is the same, the content of the action and the target of the action are the same, and the place of the action and the target of the action are the same. There are things. Hereinafter, the predetermined condition is appropriately set as a recommended action condition.

  For example, it is assumed that the current behavior information is “Store A | Purchase | Ring”. Further, for example, it is assumed that the past behavior information included in the series of behavior information is “store B | purchase | ring”. Further, it is assumed that the recommended action condition is “purchased product = same”. In this case, the “ring” indicating the purchased product is the same in the current behavior information and the past behavior information. Therefore, in such a case, the recommendation information generating unit 11071 determines that the current behavior information matches the past behavior information.

  Further, for example, it is assumed that the current action information is “Store A | Food | Lunch A” and “Store B | Food | Cappuccino”. Further, for example, one or more past behavior information included in the series of behavior information is “Store A | Eating and Drinking | Lunch B”, “Store C | Eating and Drinking | Cappuccino”, and “Store D | Eating and Drinking | Dinner Course A”, respectively. And Further, for example, it is assumed that the recommended action condition is “(restaurant name = same) or (food / drink = same)”. In this case, since the store name is the same for the current behavior information “Store A | Food | Lunch A” and the past behavior information “Store A | Food | Lunch B”, the recommendation information generating unit 11071 determines the two behaviors. It is determined that the information matches. In addition, since the food and drink are the same for the current behavior information “Store B | Food & Drink | Cappuccino” and the past behavior information “Store C | Food & Drink | Cappuccino”, the recommendation information generating unit 11071 Judge that they match. Also, with respect to the past behavior information “Store D | Drinks | Dinner Course A”, the recommendation information generation unit 11071 determines that it does not match any current behavior information. And the recommendation information production | generation means 11071 acquires the said past action information "Store D | Food | Dinner course A".

  Further, for example, it is assumed that the current action information is “Store A | Food & Drink | Hamburg Lunch”, “Store B | Food & Drink | Cappuccino”. Further, for example, one or more past behavior information included in the series of behavior information is “Store C | Eating and Drinking | Shrimp Fried Lunch”, “Store D | Eating and Drinking | Cappuccino”, and “Store D | Eating and Drinking | Dinner Course A”, respectively. And Further, for example, it is assumed that the recommended action condition is “(restaurant name = same) or (food / drink = same)”. In such a case, the recommendation information generating unit 11071 determines that the past action information “Store C | Drink | Shrimp | Shrimp Fried Lunch” does not match any current action information based on the same determination as described above. And the recommendation information production | generation means 11071 acquires the said past action information "Store C | Eating | Drink | Shrimp fried lunch".

  Further, the recommendation information generation unit 11071 holds, for example, a so-called template of recommendation information, and may generate recommendation information by replacing a part of the template with the acquired behavior information. The “part” is, for example, a variable or symbol indicating replacement with action information. For example, it is assumed that the template is “Next, please purchase # product # with #store name #”. In addition, it is assumed that the behavior information is “convenience store | coffee”. “Convenience Mart” is a store name, and “coffee” is a product. In this case, the recommendation information generating unit 11071 replaces “#store name #” and the behavior information “convenience” in the template. Also, the recommendation information generating unit 11071 replaces “# product #” and behavior information “coffee” in the template. As a result, the recommendation information generating unit 11071 generates recommendation information “Next, please purchase coffee at a convenience store”.

  For example, when the behavior frequency calculation unit 1111 described later calculates the behavior frequency, the recommendation information generation unit 11071 may include the behavior frequency in the generated recommendation information. The action frequency will be described later.

  The privilege information generation unit 11072 generates privilege information indicating a privilege using the behavior information. The action information is usually action information included in a series of action information that the series action determination unit 1106 determines to approximate to one or more pieces of action information. Moreover, a privilege is what is called a point, a coupon ticket, a discount ticket, etc., for example.

  The privilege information generation unit 11072 holds, for example, one or more privilege management information having a behavior condition that is a condition related to behavior information and privilege information. And the privilege information generation means 11072 acquires 1 or 2 or more action information which a series of action information has by the method and procedure similar to said recommendation information generation means 11071. And the privilege information production | generation means 11072 produces | generates privilege information by acquiring the privilege information corresponding to the action condition where the said acquired 1 or 2 or more action information corresponds from 1 or more privilege management information.

  Further, the behavior condition may be behavior information. In this case, the privilege information generation unit 11072 acquires privilege information corresponding to the same behavior information as the acquired one or more behavior information from the one or more privilege management information.

  The privilege grant unit 11073 performs a process of granting the privilege indicated by the privilege information to the user identified by the second user identifier. The privilege information is privilege information generated by the privilege information generation unit 11072. The second user identifier is a user identifier associated with one or more pieces of behavior information used by the series behavior determination unit 1106 for determination.

  Moreover, the process which provides a user with a privilege, for example, associates a user identifier with the privilege information which the privilege information generation means 11072 acquired, or the privilege information generation means 11072 with respect to the privilege information corresponding to a user identifier. Is to add the privilege information acquired. In this case, the privilege grant unit 11073 holds, for example, user privilege management information that is information for managing the privilege for each user. The user privilege management information has at least a user identifier. And the privilege provision means 11073 matches a user identifier and the privilege information which the privilege information generation means 11072 produced | generated, and produces | generates new user privilege management information. Moreover, the privilege provision means 11073 adds the privilege information which the privilege information generation means 11072 produced | generated with respect to the user privilege management information already hold | maintained, for example.

  Moreover, the privilege provision means 11073 produces | generates the privilege provision information which shows having provided the privilege normally after provision of a privilege. This generation is usually acquisition. For example, the privilege granting information 11073 holds the privilege grant information. And the privilege provision means 11073 acquires the said privilege provision information.

  Moreover, the privilege provision means 11073 may hold | maintain what is called a template of privilege provision information, for example. In this case, the privilege granting unit 11073 acquires the privilege granting information by replacing a part of the template with the privilege information generated by the privilege information generating unit 11072.

  The transmission unit 11074 transmits the recommendation information to the terminal device 12. The recommendation information is recommendation information generated by the recommendation information generation unit 11071. The terminal device 12 is a user terminal device 12 identified by a user identifier associated with one or more pieces of behavior information used by the series behavior determination unit 1106 for determination.

  Moreover, the timing of transmission of recommendation information is not particularly limited. Note that the timing for transmitting the recommendation information may vary depending on the type of the terminal device 12, for example. For example, when the terminal device 12 is a built-in device such as an IC card reader or a so-called cash register, the transmission unit 11074 normally transmits recommendation information when the user uses these devices. For example, when the receiving unit 1103 receives the last action information in time among the one or more action information used for the determination by the series action determining unit 1106, or when the one or more actions are used. This is the case, for example, when the receiving unit 1103 receives new behavior-related information different from the information. Note that the user identifier associated with the one or more behavior information used for the determination is the same as the user identifier included in the behavior-related information. In this case, the transmission unit 11074 may transmit the recommendation information to all the terminal devices 12 after the recommendation information generation unit 11071 generates the recommendation information, for example. This is because the user does not know which terminal device 12 is used.

  For example, when the terminal device 12 is a mobile terminal owned by a user, such as a smartphone or a mobile phone, the transmission unit 11074 usually owns the recommendation information after the recommendation information generation unit 11071 generates the recommendation information. The recommendation information is transmitted to the terminal device 12 that is present.

  For example, when the privilege granting unit 11073 generates privilege granting information, the transmission unit 11074 transmits the privilege granting information to the terminal device 12 by the same method and procedure as described above. For example, also when the behavior frequency calculation unit 1111 described below calculates the behavior frequency, the transmission unit 11074 transmits the behavior frequency to the terminal device 12 by the same method and procedure as described above. For example, when the privilege information generation unit 11072 generates privilege information, the transmission unit 11074 may transmit the privilege information to the terminal device 12 by the same method or procedure as described above.

  The recommended action determination unit 1108 determines whether or not the user has taken the action according to the recommended action as a result of the processing performed on the terminal device 12 by the processing unit 1107. The user is usually a second user. Specifically, the recommended behavior determination unit 1108 includes the behavior information included in the behavior related information having the second user identifier among the behavior related information received by the receiving unit 1103 after the processing unit 1107 performs processing on the terminal device 12. And the behavior information used when the processing unit 1107 performs the processing are determined. The second user identifier is the same user identifier as the user identifier used by the transmission unit 11074 to identify the destination terminal device 12. The second user identifier is also the same user identifier as the user identifier associated with the one or more pieces of behavior information used by the series behavior determination unit 1106 for determination.

  In addition, when it is determined that they match in the above, the recommended behavior determination unit 1108 may acquire behavior information included in the behavior related information received by the reception unit 1103, for example. In this case, for example, the recommended behavior determining unit 1108 may acquire behavior information used when the processing unit 1107 performs processing.

  Also, the recommended behavior determination unit 1108 normally makes the above determination for each user. In other words, the recommended behavior determination unit 1108 normally makes the above determination when the reception unit 1103 receives behavior related information from the terminal device 12 processed by the processing unit 1107.

  The reward information generation unit 1109 generates reward information indicating a reward. The reward is, for example, a so-called point, a coupon ticket, a discount ticket, or the like. Further, the reward information generation unit 1109 normally generates reward information when the recommended action determination unit 1108 determines that the user has taken the action according to the recommended action. This is because the processing unit 1107 processes the behavior information included in the behavior related information having the second user identifier among the behavior related information received by the receiving unit 1103 after the processing unit 1107 performs processing on the terminal device 12. This is also the case when the recommended action determination unit 1108 determines that the series of action information used when performing the action has. Also, the reward information generation unit 1109 generates reward information by means described below.

  The contribution management information storage unit 11091 stores one or more contribution management information. The contribution management information is information for managing the user's contribution to one or more actions. The contribution management information is information having a user identifier and a contribution.

  The contribution level indicates the degree of contribution to one or more actions. In addition, the degree of contribution is, for example, the ratio of the number of predetermined actions with respect to the number of actions taken by the user, the number of predetermined actions taken by the user, and the ratio of the days when the user took a predetermined action with respect to the number of days the user has acted Etc.

  Further, the structure and format of the contribution management information are not limited. The contribution management information may be information in which one or more contributions are associated with one user identifier, for example. In this case, one action information is usually associated with one or more contributions. That is, the contribution management information may have action information. Further, the contribution degree management information may be information in which one action information is associated with one or more user identifiers, for example. In this case, one contribution degree is normally associated with one or more user identifiers.

  Further, the contribution may be calculated by, for example, a contribution calculation unit (not shown). In this case, a contribution management information storage unit (not shown) normally associates the calculated contribution with a user identifier, behavior information, etc., generates contribution management information, and stores it in the contribution management information storage unit 11091. accumulate. When calculating the contribution, the contribution calculation means uses, for example, action related information received by the receiving unit 1103, one or more series of action related information stored in the series of action information storage unit 1102, and the like. , Calculate the contribution.

For example, a method for calculating the contribution using the behavior-related information received by the receiving unit 1103 is as follows.
(1) Every time the receiving unit 1103 receives behavior-related information, the behavior information included in the behavior-related information is accumulated in a predetermined storage area or an arbitrary storage area for each user identifier included in the behavior-related information.
(2) One or more action information associated with the user identifier included in the action related information received by the receiving unit 1103 is acquired from a predetermined storage area or an arbitrary storage area.
(3) Count the number of one or more pieces of behavior information acquired in (2). This number is the total number of actions.
(4) Among the one or more pieces of behavior information acquired in (2), the number of the same behavior information is counted. Each number of 1 or more is defined as the number of single actions.
(5) A ratio of one or more single action numbers to the total number of actions is calculated for each single action number.

In addition, a method for calculating the degree of contribution using one or more series of behavior related information stored in the series of behavior information storage unit 1102 is, for example, as follows.
(1) One or more pieces of behavior information included in one or more series of behavior information associated with a user identifier included in the behavior related information received by the reception unit 1103 are acquired from the series of behavior information storage unit 1102.
(2) Count the number of one or more pieces of behavior information acquired in (1). This number is the total number of actions.
(3) Among the one or more pieces of behavior information acquired in (1), the number of the same behavior information is counted. Each number of 1 or more is defined as the number of single actions.
(4) The ratio of one or more single action numbers to the total number of actions is calculated for each single action number.

  The reward information generation unit 11092 generates reward information. The reward information generation means 11092 normally generates predetermined reward information. Further, the reward information generation unit 11092 may generate reward information according to the degree of contribution. The contribution degree is a contribution degree stored in the contribution degree management information storage unit 11091. Moreover, the said contribution is a contribution with which the 1st user identifier is matched. The first user identifier is the same user identifier as the user identifier associated with the series of behavior information used when the processing unit 1107 performs processing.

  When the predetermined reward information is generated, the reward information generation unit 11092 usually holds the predetermined reward information. Then, the reward information generation means 11092 generates predetermined reward information by acquiring the retained reward information.

  Also, when generating reward information according to the degree of contribution, the reward information generation unit 11092 normally receives a user's recommendation action determination unit 1108 from a series of action information used when the processing unit 1107 performs processing. The action information indicating the action determined to have been obtained and the user identifier associated with the series of action information are acquired. Then, the reward information generation unit 11092 acquires the contribution level in which the acquired action information and the acquired user identifier correspond to each other from the contribution level management information storage unit 11091. Then, reward information is generated using the acquired contribution.

  In addition, the contribution information generation unit 11092 holds one or more reward management information including, for example, a contribution condition that is a condition related to the contribution and reward information. Then, the reward information generation unit 11092 acquires reward information corresponding to the contribution condition where the acquired contributions match from one or more reward management information.

  Also, the contribution information generation unit 11092 holds information indicating a method for generating reward information from the contribution, for example. The information is, for example, a calculation formula or a program. If the information is a calculation formula, the contribution information generation unit 11092 calculates the reward information by substituting the contribution to the calculation formula and calculating the calculation formula. When the information is a program, the contribution information generation unit 11092 gives the contribution to the program, and acquires the reward information by executing the program.

  In addition, when generating reward information according to the degree of contribution, it is preferable that the reward information generation unit 11092 normally generates reward information with a higher amount of reward (a larger amount) as the degree of contribution increases (a larger amount). is there. In this case, the above calculation formula is usually a so-called increasing function.

  Further, the reward management information may have an action condition that is a condition related to action information corresponding to the degree of contribution. In this case, the reward information generation unit 11092 normally acquires reward information corresponding to the action condition that matches the acquired action information and the contribution condition that matches the acquired contribution degree from the one or more reward management information.

  In addition, the type and content of the reward information to be generated may be determined in advance or not.

  The reward giving unit 1110 performs a process of giving the reward indicated by the reward information to the user identified by the first user identifier. The reward information is reward information generated by the reward information generation unit 1109. The first user identifier is a user identifier associated with one or more pieces of behavior information used for determination by the recommended behavior determination unit 1108.

  The process of giving a reward performed by the reward granting unit 1110 is the same as the process of granting a privilege performed by the privilege granting unit 11073 except that a reward is given to the first user, and the description thereof will be omitted.

  Further, the process of giving the reward may be performed by a reward giving means (not shown), for example. Moreover, you may notify a user that the said reward was provided. The notification to the user may be performed by an appreciation grant information transmission unit (not shown). Further, the reward granting unit and the reward granting information transmitting unit are normally provided in the reward granting unit 1110. Also, the reward giving means usually generates reward giving information indicating that the reward has been given. Since the method and procedure for generating the reward grant information are the same as the method and procedure for generating the privilege grant information, the description thereof is omitted. Also, the reward grant information transmitting means transmits the reward grant information to the user terminal device 12 identified by the first user identifier.

  The behavior frequency calculation unit 1111 calculates the behavior frequency. The action frequency is information indicating the frequency at which the user took the action with respect to the action recommended by the user as a result of the processing performed by the processing unit 1107 on the terminal device 12. In addition, the action frequency may be, for example, a frequency at which the user takes an action with respect to the action recommended by the user and the recommended user makes a positive evaluation with respect to the action. . The frequency may be a ratio or a number of times.

  Specifically, the action frequency is, for example, the ratio of the number of times that the action taken by the user is determined to be the recommended action with respect to the number of times the terminal device 12 has been processed, or the action taken by the user is the recommended action. For example, the number of times of judgment. Hereinafter, the action frequency is appropriately set as a recommended action frequency. In addition, the action frequency is, for example, the ratio of the number of times that the user made a positive evaluation with respect to the action with respect to the number of times that the action taken by the user was determined to be the recommended action, or the positive evaluation. It may be the number of times. Hereinafter, the action frequency is appropriately set as an affirmative evaluation frequency.

  In the above description, the process for the terminal device 12 is a process performed by the processing unit 1107. In addition, the number of times determined to be recommended behavior is that the processing unit 1107 normally processes the behavior information included in the behavior related information having the second user identifier among the behavior related information received by the receiving unit 1103. This is the number of times the recommended action determining unit 1108 has determined that the series of action information used at the time has. The number of times of positive evaluation is, for example, the number of times posting information including positive contents is posted on the posting site after the user has taken a recommended action. The positive content is usually predetermined.

  Further, when calculating the recommended action frequency, the action frequency calculating unit 1111 normally counts up the number of times of processing each time the processing unit 1107 performs processing on the terminal device 12. The number of times is usually accumulated in a predetermined storage area or an arbitrary storage area. The number of times is defined as the number of processing times. Then, the behavior frequency calculating unit 1111 counts up the number of times that the recommended behavior determining unit 1108 determines that the recommended behavior is the recommended behavior. The number of times is usually accumulated in a predetermined storage area or an arbitrary storage area. Further, the number of times is set as the number of determinations. Then, the behavior frequency calculation unit 1111 calculates the ratio of the number of determinations with respect to the number of processes, and acquires the ratio or the number of determinations as the recommended action frequency. Note that the recommended action frequency may be calculated for each user identifier for identifying a user.

  Further, when calculating the positive evaluation frequency, the behavior frequency calculating unit 1111 counts up the number of times that the recommended behavior determining unit 1108 determines that the recommended behavior is the recommended behavior, for example. This number is set as the recommended action number. Then, the behavior frequency calculation unit 1111 determines whether or not the user has posted to the posting site after the recommended behavior determination unit 1108 determines that the recommended behavior is the recommended behavior. When the behavior frequency calculation unit 1111 determines that the posting has been made, the behavior frequency calculation unit 1111 determines whether the posted information that is the posted information includes a positive content. Then, the behavior frequency calculation unit 1111 counts up the number of times it is determined that the positive content is included. The number of times is defined as the number of positive evaluations. Then, the behavior frequency calculation unit 1111 calculates a ratio of the number of positive evaluations to the number of recommended actions, and acquires the ratio or the number of positive evaluations as a positive evaluation frequency. The affirmative frequency may be calculated for each user identifier that identifies a user.

  The terminal reception unit 1201 receives behavior related information. Acceptance refers to accepting information input from an input device such as a touch panel, keyboard, card reader, etc., receiving information transmitted via a wired or wireless communication line, recording media such as an optical disk, magnetic disk, and semiconductor memory This is a concept including reception of information read out from.

  The terminal transmission unit 1202 transmits the behavior related information to the behavior support apparatus 11. The action related information is action related information received by the terminal receiving unit 1201.

  The terminal reception unit 1203 receives recommendation information, privilege grant information, reward grant information, action frequency, and the like from the action support device 11.

  The terminal output unit 1204 outputs various information received by the terminal receiving unit 1203. Output refers to display on a display, printing on a printer, projection using a projector, sound output, transmission to an external device, storage on a recording medium, processing results to other processing devices or other programs, etc. It is a concept that includes delivery. In addition, regarding transmission, accumulation, and delivery of processing results, an output target is finally presented to the user.

  Moreover, the timing of the output of the various information received by the terminal receiving unit 1203 is not particularly limited. Note that the output timing of the various types of information may vary depending on the type of the terminal device 12, for example. For example, when the terminal device 12 is a built-in device such as an IC card reader or a so-called cash register, the terminal output unit 1204 normally receives the various information when the terminal reception unit 1201 receives the behavior-related information. Is output. In this case, the terminal output unit 1204 normally outputs various types of information associated with the same user identifier as the user identifier included in the behavior related information received by the terminal reception unit 1201 among the various types of information received by the terminal reception unit 1203. To do.

  For example, when the terminal device 12 is a mobile terminal owned by a user, such as a smartphone or a mobile phone, the terminal output unit 1204 receives the various types of information immediately after the terminal reception unit 1203 receives the various types of information. Output.

  The category condition storage unit 1101, the series of action information storage units 1102, and the contribution management information storage unit 11091 are preferably non-volatile recording media, but can also be realized by volatile recording media. Further, the process in which the predetermined information is stored in the category condition storage unit 1101 or the like does not matter. For example, the predetermined information may be stored in the category condition storage unit 1101 via a recording medium, a communication line, an input device, or the like.

  In addition, the receiving unit 1103 and the terminal receiving unit 1203 are usually realized by wireless or wired communication means, but may be realized by means for receiving a broadcast.

  In addition, the category action determining unit 1104, the series action information accumulating unit 1105, the series action determining unit 1106, the processing unit 1107, the recommendation information generating unit 11071, the privilege information generating unit 11072, the privilege giving unit 11073, the recommended action determining unit 1108, and the reward information. The generation unit 1109, the reward information generation unit 11092, the reward granting unit 1110, and the behavior frequency calculation unit 1111 can be usually realized by an MPU, a memory, or the like. Also, the processing procedure of the category behavior determination unit 1104 and the like is usually realized by software, and the software is recorded on a recording medium such as a ROM. The category behavior determination unit 1104 and the like may be realized by hardware (a dedicated circuit).

  In addition, the transmission unit 11074 and the terminal transmission unit 1202 are usually realized by a wireless or wired communication unit, but may be realized by a broadcasting unit.

  Further, the input means such as information and instructions in the terminal reception unit 1201 may be anything such as a menu screen or a keyboard. The terminal reception unit 1201 can be realized by control software for a menu screen, a device driver for input means such as a keyboard, and the like.

  Further, the terminal output unit 1204 may be considered to include an output device such as a display or a speaker, or may not be included. The terminal output unit 1204 may be realized by output device driver software, or output device driver software and an output device.

  Next, the overall operation of the information processing system 1 will be described using a flowchart. Note that the i-th information in the predetermined information is described as “information [i]”. First, the overall operation of the action support apparatus 11 will be described using the flowchart of FIG. In the flowchart of FIG. 4, it is assumed that the category condition storage unit 1101 stores n category conditions.

  (Step S401) The category behavior determination unit 1104 determines whether the reception unit 1103 has received behavior-related information. If received, the process proceeds to step S402; otherwise, the process returns to step S401.

  (Step S402) The category behavior determination unit 1104 accumulates the behavior related information received in Step S401 in a predetermined storage area or an arbitrary storage area. At this time, the category behavior determining unit 1104 normally accumulates behavior-related information for each user identifier included in the behavior-related information.

  (Step S403) The category behavior determining unit 1104 determines whether it is the timing for determining the category behavior. The category behavior determination is whether or not one or more pieces of behavior information included in one or more pieces of behavior-related information stored in a predetermined storage area or an arbitrary storage area meet one of one or more category conditions. It is a judgment. Further, the category action determining unit 1104 normally determines whether or not a series of user actions in a predetermined period matches a category condition. Therefore, the category action determining unit 1104 normally determines whether or not it is the timing for determining the category action by determining whether or not the predetermined period has ended. If it is the timing for determining the category action, the process proceeds to step S404. Otherwise, the process proceeds to step S414.

  (Step S404) The category behavior determination unit 1104 acquires a behavior-related information group stored for each user identifier in a predetermined storage area or an arbitrary storage area. The behavior related information group is a set of one or more behavior related information. As a result, it is assumed that the category behavior determination unit 1104 has acquired m behavior related information groups.

  (Step S405) The category action determining unit 1104 sets 1 to the counter i.

  (Step S406) The category behavior determining unit 1104 sets 1 to the counter j.

  (Step S407) The category behavior determination unit 1104 determines whether or not the behavior related information group [i] matches the category condition [j]. If they match, the process proceeds to step S408, and if not, the process proceeds to step S410.

  (Step S408) The series of behavior information accumulation unit 1105 acquires one or more pieces of behavior information included in the behavior related information group [i] as a series of behavior information.

  (Step S409) The series of behavior information accumulation unit 1105 accumulates the series of behavior information acquired in step S408 in the series of behavior information storage unit 1102 in association with the user identifier associated with the behavior-related information group [i]. .

  (Step S410) The category behavior determining unit 1104 determines whether j is n. When it is n, it progresses to Step S412, and when that is not right, it progresses to Step S411.

  (Step S411) The category behavior determination unit 1104 increments j by 1, and returns to step S407.

  (Step S412) The category behavior determining unit 1104 determines whether i is m. When it is m, it returns to step S401, and when that is not right, it progresses to step S413.

  (Step S413) The category action determination unit 1104 increments i by 1, and returns to step S413.

  (Step S <b> 414) The series action determination unit 1106 determines whether or not it is a determination timing of a series action. The determination of a series of actions means that one or more pieces of action information included in one or more pieces of action-related information accumulated in a predetermined storage area or an arbitrary storage area have a predetermined condition with any one or more pieces of series of action information. It is a judgment whether it approximates so that it may satisfy | fill. In addition, the series of action determination units 1106 normally determines whether or not a series of actions of a user in a predetermined period approximates a series of actions indicated by the series of action information to satisfy a predetermined condition. Therefore, the series action determination unit 1106 normally determines whether it is the timing of determination of a series action by determining whether or not it is during a predetermined period. If it is time to determine a series of actions, the process proceeds to step S415. Otherwise, the process proceeds to step S424.

  (Step S415) The series of behavior determination unit 1106 acquires the user identifier included in the behavior related information received in Step S401.

  (Step S416) The series of behavior determination unit 1106 acquires a behavior information group associated with the user identifier acquired in Step S415 from one or more behavior information groups stored in a predetermined storage area or an arbitrary storage area. To do. The behavior information group is a set of one or more behavior information.

  (Step S417) The series action determination unit 1106 sets 1 to the counter i. Here, it is assumed that p series of behavior information is stored in the series of behavior information storage unit 1102.

  (Step S418) The series of behavior determination unit 1106 determines whether the behavior information group acquired in Step S416 approximates the series of behavior information [i] so as to satisfy a predetermined condition. If it is approximated, the process proceeds to step S419; otherwise, the process proceeds to step S420.

  (Step S419) The processing unit 1107 acquires a series of behavior information [i].

  (Step S420) The series of actions determining unit 1106 determines whether i is p. When it is p, it progresses to step S422, and when that is not right, it progresses to step S421.

  (Step S421) The series of actions determining unit 1106 increments i by 1, and the process returns to Step S418.

  (Step S422) The processing unit 1107 performs processing using the series of behavior information acquired in step S419. Details of this processing will be described with reference to the flowchart of FIG. Then, the process returns to step S401.

  (Step S423) The recommended behavior determining unit 1108 determines whether it is the timing for determining the recommended behavior. The determination of the recommended action is a determination as to whether or not the user has taken a predetermined action as a result of performing the process of step S422. Also, the recommended action determination unit 1108 normally determines whether or not the user has taken a predetermined action after performing the process of step S422. Therefore, the recommended behavior determination unit 1108 determines whether it is the timing for determining the recommended behavior by determining whether it is after the processing of step S422. If it is the timing for determining the recommended action, the process proceeds to step S424, and if not, the process returns to step S401.

  (Step S424) The recommended behavior determining unit 1108 and the like perform processing related to the recommended behavior. Details of this processing will be described with reference to the flowchart of FIG. Then, the process returns to step S401.

  In the flowchart of FIG. 4, the process may be terminated by powering off or a process termination interrupt.

  FIG. 5 is a flowchart showing processing using the series of behavior information in step S422 of the flowchart of FIG.

  (Step S501) The processing unit 1107 acquires action information to be processed from the acquired series of action information.

  (Step S502) The recommendation information generation unit 11071 determines whether or not to generate recommendation information. For example, when the type of information to be generated is determined in advance by the generation type information indicating the type of information to be generated, the recommendation information generation unit 11071 indicates whether or not the generation type information indicates that the recommendation information is to be generated. Determine whether. If the recommendation information is to be generated, the process proceeds to step S503. If not, the process proceeds to step S505. The generation type information may be held by the processing unit 1107, for example. The generation type information may be stored in a predetermined storage area or an arbitrary storage area, for example.

  (Step S503) The recommendation information generation unit 11071 generates recommendation information using the behavior information acquired in step S501.

  (Step S504) The transmission unit 11074 transmits the recommendation information generated in Step S503 to the user terminal device 12. The user is a user identified by the user identifier acquired in step S415.

  (Step S505) The privilege information generation means 11072 generates privilege information using the behavior information acquired in step S501.

  (Step S506) The privilege grant unit 11073 grants the privilege indicated by the privilege information to the user using the privilege information acquired in step S505. The user is a user identified by the user identifier acquired in step S415.

  (Step S507) The privilege grant unit 11073 generates privilege grant information indicating that a privilege has been granted.

  (Step S508) The transmission unit 11074 transmits the privilege grant information generated in Step S507 to the user terminal device 12. The user is a user identified by the user identifier acquired in step S415.

  (Step S509) The behavior frequency calculation unit 1111 increments a variable total for counting the number of times the processing unit 1107 has performed processing by one. Then, the process returns to the upper process.

  FIG. 6 is a flowchart showing the process related to the recommended action in step S424 of the flowchart of FIG.

  (Step S <b> 601) The recommended behavior determination unit 1108 acquires behavior information to be determined from the series of behavior information acquired by the processing unit 1107.

  (Step S602) The recommended behavior determining unit 1108 determines whether or not the behavior related information received by the receiving unit 1103 includes the behavior information acquired in step S601. The term “having” includes being the same or being included. If yes, the process proceeds to step S603, and if not, the process returns to the upper process.

  (Step S603) The behavior frequency calculation unit 1111 increments the variable count for counting the number of times that the behavior taken by the user is determined to be the recommended behavior by one.

  (Step S604) The reward information generation unit 11092 displays the user identifier associated with the series of behavior information acquired by the processing unit 1107 and the contribution corresponding to the behavior information acquired in Step S601, as the contribution management information storage unit 11091. Get from.

  (Step S605) The reward information generation unit 11092 generates reward information by using the contribution obtained in Step S604.

  (Step S606) The reward granting unit 1110 gives a reward indicated by the reward information to the user using the reward information acquired in step S605. The user is a user identified by a user identifier associated with the behavior information acquired in step S601.

  (Step S607) The reward granting unit 1110 generates reward grant information indicating that a reward has been granted.

  (Step S608) The transmission unit 11074 transmits the privilege grant information generated in Step S607 to the user terminal device 12. The user is a user identified by a user identifier associated with the behavior information acquired in step S601.

  (Step S609) The behavior frequency calculation unit 1111 calculates “count / total” and calculates the behavior frequency.

  Next, the overall operation of the terminal device 12 will be described using the flowchart of FIG.

  (Step S701) The terminal transmission unit 1202 determines whether the terminal reception unit 1201 has received behavior-related information. If accepted, the process proceeds to step S702; otherwise, the process proceeds to step S703.

  (Step S702) The terminal transmission unit 1202 transmits the behavior related information received in Step S701 to the behavior support apparatus 11.

  (Step S703) The terminal output unit 1204 determines whether the terminal receiving unit 1203 has received recommendation information. If received, the process proceeds to step S704, and if not, the process proceeds to step S706.

  (Step S <b> 704) The terminal output unit 1204 determines whether it is the timing for outputting recommendation information. If it is the output timing, the process proceeds to step S705, and if not, the process returns to step S704.

  (Step S705) The terminal output unit 1204 outputs recommendation information. Then, the process returns to step S701.

  (Step S706) The terminal output unit 1204 determines whether or not the terminal receiving unit 1203 has received the privilege grant information. If received, the process proceeds to step S707; otherwise, the process proceeds to step S709.

  (Step S <b> 707) The terminal output unit 1204 determines whether it is the timing for outputting the privilege grant information. If it is an output timing, the process proceeds to step S708, and if not, the process returns to step S707.

  (Step S708) The terminal output unit 1204 outputs privilege grant information. Then, the process returns to step S701.

  (Step S709) The terminal output unit 1204 determines whether or not the terminal receiving unit 1203 has received the reward grant information. If received, the process proceeds to step S710, and if not, the process proceeds to step S712.

  (Step S <b> 710) The terminal output unit 1204 determines whether it is the timing for outputting the reward grant information. If it is an output timing, the process proceeds to step S711, and if not, the process returns to step S710.

  (Step S711) The terminal output unit 1204 outputs reward grant information. Then, the process returns to step S701.

  (Step S712) The terminal output unit 1204 determines whether or not the terminal receiving unit 1203 has received the action frequency. If received, the process proceeds to step S713, and if not, the process returns to step S701.

  (Step S713) The terminal output unit 1204 determines whether or not it is the timing of outputting the action frequency. If it is the output timing, the process proceeds to step S714, and if not, the process returns to step S713.

  (Step S714) The terminal output unit 1204 outputs the action frequency. Then, the process returns to step S701.

(Concrete example)
Next, a specific example of the operation of the information processing system 1 will be described. In this specific example, it is assumed that the behavior support device 11 is a server device that receives behavior-related information or transmits recommendation information. Further, the terminal device 12 is assumed to be a credit card reader, a ticket gate corresponding to a boarding IC card, a so-called cash register, a portable terminal owned by a user, or the like. In this specific example, it is assumed that the predetermined period is one day. Further, the start of the day is 0 o'clock and the end of the day is 24 o'clock. Hereinafter, examples once described will be omitted as appropriate.

(Example 1)
In this example, an example of accumulation of a series of behavior information will be described. In this example, the category condition storage unit 1101 stores the category conditions shown in FIG. The category condition is associated with an ID for uniquely identifying the record.

  First, it is assumed that the user identified by the user identifier “User01” (hereinafter referred to as the user 01 as appropriate) gets on from the station A at 14:00 on November 1, 2012 using the railway IC card. Then, the terminal accepting unit 1201 of the ticket gate that has passed at the time of boarding accepts the behavior related information “User01 | A station | ride | 14: 00”. Then, the terminal transmission unit 1202 of the ticket gate transmits the behavior related information to the behavior support device 11.

  Next, the receiving unit 1103 of the behavior support apparatus 11 receives the behavior related information “User01 | A Station | Ride | 2012/11/01 14:00”. Then, the category behavior determination unit 1104 accumulates the behavior related information in an arbitrary storage area.

  Next, it is assumed that the user 01 gets off at the F station at 14:25 using a railway IC card. Then, the terminal accepting unit 1201 of the ticket gate which has passed when getting off receives the action related information “User01 | F station | get off | 2012/11/01 14:25”. Then, the terminal transmission unit 1202 of the ticket gate transmits the behavior related information to the behavior support device 11.

  Next, it is assumed that the user 01 boarded from the F station at 20:25 after enjoying shopping with friends. Then, the terminal accepting unit 1201 of the ticket checker that has passed at the time of boarding accepts the behavior related information “User01 | F station | ride | 2012/11/01 20:25” in the same manner as described above. Then, the terminal transmission unit 1202 of the ticket gate transmits the behavior related information to the behavior support device 11.

  Next, it is assumed that the user 01 gets off at the station A at 20:50 using a railway IC card. Then, the terminal accepting unit 1201 of the ticket gate that has passed when getting off receives the behavior-related information “User01 | A station | Getting off | 2012/11/01 20:50”. Then, the terminal transmission unit 1202 of the ticket gate transmits the behavior related information to the behavior support device 11.

  Next, it is assumed that the user 01 posted a tweet of “It was fun for one day today!” On a site “site α” for posting a so-called tweet using a smartphone owned by the user 01. Further, it is assumed that the posting date is 21:00 on the same day. Then, the terminal reception unit 1201 of the smartphone receives the action related information “User01 | Site α | Post | Today was fun for the day !! | 2012/11/01 21:00”.

  Next, it is assumed that the day ends at 24:00 on November 1, 2012. Then, the category action determination unit 1104 of the action support apparatus 11 starts determining whether or not one or more action related information stored in an arbitrary storage area matches the category condition.

  The above-mentioned five pieces of behavior-related information accumulated by the category behavior determination unit 1104 in any storage area. Further, for the five behavior-related information, the category behavior determination unit 1104 determines that the category condition “post content 投稿 (fun or fun)” of “ID = 012” in FIG. 8 is satisfied. The category condition means that the content of the posting posted on a posting site such as a blog includes “fun” or “fun”.

  Next, the series of behavior information accumulation unit 1105 acquires information other than the user identifier from the five pieces of behavior related information of the user 01 as behavior information and combines them. Then, the series of behavior information accumulation unit 1105 associates the user identifier with the acquired information, and accumulates the series of behavior information in the series of behavior information storage unit 1102 as series of behavior information. The result of the accumulation is, for example, FIG. Further, the accumulated series of action information is, for example, from “ID = 011” to “ID = 015” in FIG.

  The series of action information in FIG. 9 is associated with an ID for uniquely identifying a record and a user identifier (item name: user). In addition, the series of action information includes action place information (item name: place), action contents information (item name: contents), information (item name: target) indicating purchased products, posted contents, and the like. Information (item name: date and time) indicating the date and time when the data has been recorded. Further, in FIG. 9, one series of action information is associated with the same user identifier and has information indicating the same date.

  In addition, for example, a user identified by the user identifier “User02” (hereinafter, user 02 as appropriate) drops in at any time and stops at each of the three arbitrary convenience stores in the daily action. Suppose you buy coffee, bread, and gum. Further, it is assumed that the user 02 uses a credit card for the purchase. Then, each convenience store cashier terminal reception unit 1201 stores the behavior-related information “User02 | Convenience Store” | Purchase | Coffee | 2012/11/02 13:00 ”,“ User02 | Convenience Store ” | Purchase | Bread | 2012/11/02 15:00 "," User02 | Convenience ◇◇ Store | Purchase | Gum | 2012/11/02 18:00 ".

  Next, the category behavior determination unit 1104 determines that the three behavior related information of the user 02 matches the category condition “purchased item = (bread & gum & coffee)” of “ID = 013” in FIG. To do. The category condition means that bread, gum and coffee have been purchased.

  Next, the series of behavior information accumulation unit 1105 generates a series of behavior information from the three behavior related information of the user 02 in the same manner as described above. The series of behavior information accumulation unit 1105 accumulates the generated series of behavior information in the series of behavior information storage unit 1102. The series of action information is, for example, from “ID = 016” to “ID = 018” in FIG.

(Example 2)
In this example, an example of recommending the next action to the user by transmitting recommendation information, privilege grant information, and the like to the terminal device 12 used by the user will be described. In this example, it is assumed that the series of behavior information storage unit 1102 stores the series of behavior information shown in FIG.

  First, the user identified by the user identifier “User03” (hereinafter referred to as the user 03 as appropriate) drops into each of the two arbitrary convenience stores at the arbitrary time in the same order as the user 02 in Example 1 Suppose you bought coffee and bread. Further, it is assumed that the user 03 uses a credit card at the time of the purchase. Note that the behavior-related information received by the terminal accepting unit 1201 of the cash register at each convenience store at this time is the same as that exemplified in Example 1, and thus the description thereof is omitted.

  Here, it is assumed that the action approximation condition held by the series action determination unit 1106 of the action support apparatus 11 is “(purchased article = same) & (ratio ≧ 50%)”. The action approximation condition means that the same article is purchased at a rate of 50% or more.

  Further, the information indicating the purchased items included in the two action-related information stored in any storage area of the action support apparatus 11 is “coffee” and “bread”. In addition, in the series of behavior information in FIG. 9, the information indicating the purchased articles included in the series of behavior information from “ID = 016” to “ID = 018” is “coffee”, “bread”, and “gum”. Thus, two purchased articles out of the three purchased articles are the same. The ratio is “(2/3) × 100% = 66%”.

  The series action determination unit 1106 performs the processing and determination as described above. As a result, the series of behavior determination unit 1106 displays the series of behavior information from “ID = 016” to “ID = 018” in FIG. 9 as the behavior information included in the two behavior-related information stored in an arbitrary storage area. And the behavior approximation condition “(purchased article = same) & (ratio ≧ 50%)” is determined to be approximate.

  Next, the processing unit 1107 obtains the action information “Convenience ◇◇ store | purchase | gum” of “ID = 018” from the series of action information from “ID = 016” to “ID = 018” in FIG. To do.

  Here, it is assumed that the action support apparatus 11 is determined in advance to transmit recommendation information to the terminal apparatus 12. Then, the recommendation information generation unit 11071 generates the recommendation information illustrated in FIG. 10 using the behavior information acquired by the processing unit 1107. The recommendation information is generated from the recommendation information template, the acquired action information, the recommended action frequency, and the affirmative evaluation frequency. The recommended action frequency and the positive evaluation frequency are calculated in advance by the action frequency calculation unit 1111 and are “45%” and “80%”, respectively. The recommendation information generation unit 11071 holds a template of the recommendation information, and replaces a part of the template with the acquired behavior information, recommended behavior information “45%”, and affirmation frequency information “80%”. By doing so, the recommendation information of FIG. 10 is generated.

  Next, the transmission means 11074 transmits the recommendation information of FIG. 10 to the cash register when the user 03 purchases bread.

  Next, the cash register terminal receiving unit 1203 receives the recommendation information of FIG. And the terminal output part 1204 outputs the recommendation information of FIG. 10 on a screen. At this time, in FIG. 10, the recommendation information may be printed and output on a receipt issued when the user 03 purchases bread.

  In addition, it is assumed that the action support device 11 is predetermined to give a privilege to the user and to transmit the privilege grant information indicating that the privilege is given to the terminal device 12. Then, the privilege information generation unit 11072 generates privilege information using the behavior information acquired by the processing unit 1107.

  Here, it is assumed that the behavior information acquired by the processing unit 1107 is “convenience store | purchase | gum”. Further, it is assumed that the privilege information generation unit 11072 holds privilege management information shown in FIG. The privilege management information includes an ID for uniquely identifying a record, an action condition (item name: condition), and privilege information (item name: privilege).

  Next, the privilege information generation unit 11072 determines that the behavior information acquired by the processing unit 1107 matches the behavior condition “store name = convenience” of “ID = 012” in FIG. And the privilege information generation means 11072 acquires the privilege information “Convenience Mart Gift Certificate: 500 Yen” of the “ID = 012”.

  Here, it is assumed that user privilege management information for managing privileges held by the user is stored in a predetermined storage area of the behavior support apparatus 11.

  Next, the privilege granting unit 11073 performs a process of updating the user information using the privilege information “convenience gift certificate: 500 yen” acquired by the privilege information generating unit 11072. The situation at this time is, for example, FIG. Here, for example, it is assumed that the privilege grant unit 11073 performs a process of adding a new record to the user privilege management information. In this case, the added record is “ID = 013” in FIG.

  The user privilege management information in FIG. 12 includes an ID for uniquely identifying a record, a user identifier (item name: user), a privilege type (item name: type), and a privilege amount (item name: Privilege) and a flag (item name: valid / invalid) indicating whether the privilege is valid or invalid.

  Next, the privilege granting unit 11073 generates the privilege granting information shown in FIG. 13 using the privilege information “Convenience Mart Gift Certificate: 500 Yen” acquired by the privilege information generating unit 11072. Since the method for generating the privilege grant information is the same as the method for generating the recommendation information, the description thereof is omitted.

  Next, the transmission means 11074 transmits the privilege grant information in FIG. 13 to the user terminal device 12. Here, it is assumed that the transmission unit 11074 transmits the privilege grant information by e-mail to the smartphone owned by the user 03.

  Next, the terminal receiving unit 1203 of the smartphone owned by the user 03 receives the privilege grant information in FIG. And the terminal output part 1204 outputs the privilege provision information of FIG. 13 to a screen.

  As described above, when transmitting recommendation information, point grant information, or the like to the terminal device 12 provided at each store, the transmission means 11074 of the behavior support device 11 is usually immediately after the terminal device 12 receives the behavior-related information. In addition, it is preferable to transmit the recommendation information and the like to the terminal device 12 that has received the behavior-related information. The terminal output unit 1204 preferably outputs the recommendation information immediately after the terminal reception unit 1203 receives the recommendation information. This is because the user may leave the cash register and may not view the output recommendation information.

  Further, as described above, when transmitting recommendation information, point grant information, or the like to the terminal device 12 owned by the user, the transmission unit 11074 of the action support device 11 normally generates recommendation information or point information. It is preferable to transmit the point information or the like to the terminal device 12 immediately after the above is completed. The terminal output unit 1204 preferably outputs the recommendation information immediately after the terminal reception unit 1203 receives the recommendation information. This is because the user may take the following action before browsing the recommendation information or the like.

(Example 3)
In this example, an example in which a reward is given to a user who has registered a recommended action when the user recommended for the action takes the recommended action will be described. In this example, it is assumed that the contribution management information storage means 11091 stores the contribution management information shown in FIG. The contribution management information includes an ID for uniquely identifying a record, a user identifier (item name: ID), action place information, and a contribution. The contribution is calculated by a contribution calculation unit (not shown) and accumulated by a contribution accumulation unit (not shown). In addition, the degree of contribution is the ratio of the number of days that the user has stopped at a predetermined store to the number of days the user has acted, such as going out or shopping. “Stop by” is widely understood, including shopping and eating and drinking. Also, it is assumed that the reward information generation unit 11092 holds reward management information shown in FIG. The reward management information includes action information, a condition (item name: condition) regarding contribution, and reward information (item name: reward).

  First, in Example 2, it is assumed that the action information acquired by the processing unit 1107 for generating recommendation information, privilege information, and the like is “convenience | purchase | beer”. Further, it is assumed that the user identifier “User01” is associated with the series of behavior information having the behavior information, and the series of behavior information stored in the series of behavior information storage unit 1102.

  Next, the reward information generation unit 11092 calculates the contribution degree “80” of “ID = 013” in FIG. 14 from the user identifier “User01” and the action place information “convenience” included in the action information acquired by the processing unit 1107. % ".

  Next, the reward information generation unit 11092 determines that the action location information “convenience” included in the action information acquired by the processing unit 1107 and the acquired contribution degree “80%” satisfy the condition “ID = 013” in FIG. (Store name = Convenience) & (80% ≦ Contribution ≦ 100%) ”. This condition means that the store name (action place) is “Convenience” and the degree of contribution to the store is 80% or more and 100% or less. Then, the reward information generation unit 11092 acquires the reward information “Convenience gift certificate: 500 yen” of “ID = 013” in FIG. 15.

  Next, the reward giving unit 1110 performs a process of updating user information using the reward information “Convenience gift certificate: 500 yen” acquired by the reward information generating unit 11092. This process is the same as the update of user information using privilege information, and since it has been described in Example 2, description thereof is omitted.

  Next, the reward granting unit 1110 generates reward grant information shown in FIG. 16 using the reward information “Convenience gift certificate: 500 yen” acquired by the reward information generating unit 11092. Since the method of generating the reward grant information is the same as the method of generating privilege grant information in Example 2, description thereof is omitted.

  Next, the transmission unit 11074 transmits the reward grant information of FIG. 16 to the user terminal device 12. Here, it is assumed that the transmission unit 11074 transmits the privilege grant information by e-mail to the smartphone owned by the user 01.

  Next, the terminal receiving unit 1203 of the smartphone owned by the user 01 receives the reward grant information of FIG. And the terminal output part 1204 outputs the reward provision information of FIG. 16 on a screen.

  In the above description, for example, it is assumed that the action information acquired by the processing unit 1107 is “moon front | purchase | cappuccino”. Accordingly, it is assumed that the degree of contribution acquired by the reward information generation unit 11092 is “55%”. In this case, the reward information generating unit 11092 determines that these pieces of information meet the condition “(store name = moonfront) & (50% ≦ contribution <80%)” of “ID = 012” in FIG. This condition means that the store name (action place) is “Moonfront” and the contribution to the store is 50% or more and less than 80%. Then, the reward information generation unit 11092 acquires the reward information “free cup of coffee ticket” of “ID = 012” in FIG. 15. Since the subsequent processing is the same as described above, description thereof is omitted.

  As described above, according to the information processing system 1 according to the present embodiment, among the series of actions taken by a certain user, the actions registered as actions corresponding to the predetermined category are recommended to other users. Can do. Moreover, in order to recommend the said action, a privilege can be provided to the said other user. In addition, among a series of actions taken by a user, an action corresponding to a predetermined condition can be registered as an action corresponding to a predetermined category. Thereby, sales of goods etc. can be promoted to a user, for example. In addition, for example, by recommending to other users a one-day behavior pattern that a certain user thinks is a happy day or a fun day, other users can also have a happy day or a fun day.

  Further, in each of the above embodiments, it goes without saying that two or more communication units existing in one apparatus may be physically realized by one medium.

  In addition, the action support device in each of the above embodiments may be, for example, a stand-alone device or a server device in a server / client system.

  In each of the above embodiments, each process or each function may be realized by centralized processing by a single device or a single system, or distributed by a plurality of devices or a plurality of systems. It may be realized by being processed.

  In each of the above embodiments, each component may be configured by dedicated hardware, or a component that can be realized by software may be realized by executing a program. For example, each component can be realized by a program execution unit such as a CPU reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

  Moreover, the software which implement | achieves the action assistance apparatus in each said embodiment is the following programs, for example. That is, this program is information indicating a series of actions of the user in a predetermined period, and a series of actions in which one or more series of action information that is information having one or more action information indicating one action of the user is stored. A receiving unit that receives from a terminal device behavior-related information, which is information related to one behavior of a user, and information having a user identifier for identifying the user and behavior information. And one or more action information which one or more action related information which has the same user identifier among one or more action related information which the receiving part received is stored in the series action information storage part. A series of action determination units that determine whether or not the predetermined action information approximates to any one of the one or more series of action information, and a series of rows determined to be approximated by the series of action determination units Using the information, a program for functioning as a processing unit that performs processing for the user of the terminal device identified by the user identifier.

  Moreover, the software which implement | achieves the terminal device in each said embodiment is the following programs, for example. That is, this program is a program for causing a computer to function as a terminal reception unit that receives behavior-related information and a terminal transmission unit that transmits the behavior-related information received by the terminal reception unit to the behavior support device.

  In the program, the functions realized by the program do not include functions that can be realized only by hardware.

  The program may be executed by being downloaded from a server or the like, or a program recorded on a predetermined recording medium (for example, an optical disk such as a CD-ROM, a magnetic disk, a semiconductor memory, or the like) is read out. May be executed. Further, this program may be used as a program constituting a program product.

  Moreover, the computer which performs the said program may be single, and plural may be sufficient as it. That is, centralized processing may be performed, or distributed processing may be performed.

  FIG. 17 is a schematic diagram of a computer system 9 that executes the above-described program to realize the action support apparatus according to the above-described embodiment. The above-described embodiments can be realized by computer hardware and a computer program executed thereon.

  In FIG. 17, the computer system 9 includes a computer 901 including a CD-ROM drive 9011 and an FD drive 9012, a keyboard 902, a mouse 903, and a monitor 904.

  FIG. 18 is a block diagram of the computer system 9. In FIG. 18, in addition to the CD-ROM drive 9011 and the FD drive 9012, a computer 901 is connected to an MPU 9013, a ROM 9014 for storing a program such as a boot-up program, and an MPU 9013, and temporarily commands the application program. A bus for mutually connecting a RAM 9015 for storing a temporary storage space, a hard disk 9016 for storing application programs, system programs, and data, a CD-ROM drive 9011, an FD drive 9012, an MPU 9013, etc. 9017. Although not shown here, the computer 901 may further include a network card that provides connection to a LAN.

  A program for causing the computer system 9 to execute the functions of the action support apparatus of the above-described embodiment is stored in the CD-ROM 9101 or FD 9102, inserted into the CD-ROM drive 9011 or FD drive 9012, and further the hard disk 9016. May be forwarded to. Alternatively, the program may be transmitted to the computer 901 via a network (not shown) and stored in the hard disk 9016. The program is loaded into the RAM 9015 when executed. The program may be loaded directly from the CD-ROM 9101, the FD 9102, or the network.

  The program does not necessarily include an operating system (OS), a third-party program, or the like that causes the computer 901 to execute functions such as the action support device of the above-described embodiment. The program only needs to include an instruction portion that calls an appropriate function (module) in a controlled manner and obtains a desired result. How the computer system 9 operates is well known and will not be described in detail.

  The present invention is not limited to the above-described embodiments, and various modifications are possible, and it goes without saying that these are also included in the scope of the present invention.

  As described above, the action support apparatus according to the present invention accumulates actions that match a predetermined condition among actions taken by a user as actions corresponding to a predetermined category, or the accumulated actions. Can be recommended to other users, and is useful as a device for recommending actions to users.

DESCRIPTION OF SYMBOLS 1 Information processing system 11 Action support apparatus 12 Terminal device 1101 Category condition storage part 1102 Series action information storage part 1103 Reception part 1104 Category action judgment part 1105 Series action information storage part 1106 Series action judgment part 1107 Processing part 1108 Recommended action judgment part 1109 Reward information generation unit 1110 Reward grant unit 1111 Action frequency calculation unit 1201 Terminal reception unit 1202 Terminal transmission unit 1203 Terminal reception unit 1204 Terminal output unit 11071 Recommendation information generation unit 11072 Special information generation unit 11073 Special purpose grant unit 11074 Transmission unit 11091 Contribution management Information storage means 11092 reward information generation means 11092 contribution information generation means

Claims (11)

A series of behavior information storage unit for storing one or more series of behavior information that is information indicating a series of behaviors of the user in a predetermined period and is information having one or more behavior information indicating one behavior of the user;
A reception unit that receives, from the terminal device, behavior related information that is information related to one behavior of the user and is information having a user identifier that identifies the user and behavior information;
Among the one or more behavior related information received by the reception unit, one or more behavior information possessed by one or more behavior related information having the same user identifier is stored in the series behavior information storage unit A series of action determination units that determine whether or not to approximate a predetermined condition with any of the series of action information,
A behavior support apparatus comprising: a processing unit that performs processing on the terminal device of the user identified by the user identifier using behavior information included in the series of behavior information determined to be approximated by the series of behavior determination unit. The user identifier is a first user identifier that identifies a first user or a second user identifier that identifies a second user;
A category condition storage unit that stores one or more category conditions that are conditions for determining whether or not a series of user actions in a predetermined period falls under a predetermined category;
Whether one or more action-related information in a predetermined period having the same first user identifier among the one or more action-related information received by the receiving unit matches any of the one or more category conditions A category action determination unit for determining
A series of behavior information storage units that store in the series of behavior information storage units a series of behavior information having one or more pieces of behavior information included in each of the one or more behavior related information determined by the category behavior determination unit;
The series of action determination units
Among the one or more behavior related information received by the receiving unit, one or more behavior information possessed by one or more behavior related information having the same second user identifier is stored in the series behavior information storage unit. Determine whether it approximates enough to meet a predetermined condition with one of one or more series of action information,
The processor is
The action support apparatus according to claim 1, wherein the action information included in the series of action information determined to be approximated by the series of action determination units is used to perform processing on the terminal device of the user identified by the second user identifier. The processor is
Recommendation information generating means for generating recommendation information indicating a recommendation for an action using the action information included in the series of action information determined to be approximated by the series of action determination units;
The action support apparatus according to claim 1, further comprising: a transmission unit that transmits the recommendation information generated by the recommendation information generation unit to a user terminal device identified by the user identifier. The processor is
Privilege information generating means for generating privilege information, which is information indicating a privilege, using the behavior information included in the sequence of behavior information determined to be approximated by the sequence of behavior determination unit;
The behavior according to any one of claims 1 to 3, further comprising a privilege grant unit that performs a process of granting a privilege indicated by the privilege information generated by the privilege information generation unit to a user identified by the user identifier. Support device. In the series of behavior information storage unit,
A series of one or more action information associated with a user identifier is stored,
Of the behavior related information received by the receiving unit after performing processing on the terminal device, behavior information included in behavior related information having the second user identifier, behavior information used when performing the processing, A recommended action determination unit that determines whether or not match,
When it is determined that the recommended action determination unit matches, a reward information generation unit that generates reward information that is information indicating a reward; and
A reward for performing the process of giving the reward indicated by the reward information generated by the reward information generation unit to the user identified by the first user identifier associated with the series of behavior information used when performing the process on the terminal device. The action support device according to any one of claims 2 to 4, further comprising a grant unit. The reward information generation unit
Contribution management information storage means for storing one or more contribution management information having a user identifier and one or more contributions of the user to the action;
Among the one or more contributions, the reward information corresponding to the contribution that is associated with the same user identifier as the first user identifier associated with the series of action information used when performing processing on the terminal device. The behavior support apparatus according to claim 5, further comprising: a reward information generation unit that generates the reward information. The recommended action determining unit further includes an action frequency calculating unit that calculates an action frequency that is a frequency at which the action information is determined to match,
The processor is
The behavior support device according to claim 5 or 6, wherein the behavior frequency calculated by the behavior frequency calculation unit is used to perform processing on the terminal device of the user identified by the second user identifier. The action support apparatus according to any one of claims 1 to 7, wherein the action related information includes credit card use information that is information related to use of a credit card. The behavior support apparatus according to any one of claims 1 to 8, wherein the behavior related information includes public transport use information that is information related to use of public transport. A series of behavior information storage unit for storing one or more series of behavior information that is information indicating a series of behaviors of the user in a predetermined period and is information having one or more behavior information indicating one behavior of the user;
An action support method that is performed using a receiving unit, a series of action determining unit, and a processing unit,
The receiver is
A reception step of receiving, from the terminal device, behavior-related information that is information related to one behavior of the user, and is information having a user identifier for identifying the user and behavior information;
The series of action determination units
Among the one or more behavior related information received by the reception unit, one or more behavior information possessed by one or more behavior related information having the same user identifier is stored in the series behavior information storage unit A series of action determination steps for determining whether or not it is approximated to meet a predetermined condition with any of the series of action information,
The processing unit is
A behavior support method comprising: processing steps for processing the terminal device of the user identified by the user identifier using behavior information included in the sequence of behavior information determined to be approximated by the sequence of behavior determination unit. Access to a series of behavior information storage unit that stores one or more series of behavior information, which is information indicating a series of behaviors of a user in a predetermined period and information including one or more behavior information indicating one behavior of the user A nice computer
A reception unit that receives, from the terminal device, behavior related information that is information related to one behavior of the user and is information having a user identifier that identifies the user and behavior information;
Among the one or more behavior related information received by the reception unit, one or more behavior information possessed by one or more behavior related information having the same user identifier is stored in the series behavior information storage unit A series of action determination units that determine whether or not to approximate a predetermined condition with any of the series of action information,
The program for functioning as a process part which performs the process with respect to a user's terminal device identified by the said user identifier using the action information which the series action information judged that the said series action judgment part approximates.

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