JP5881656B2 - Usage analysis device, communication terminal, usage analysis method and program - Google Patents

Description

  The present invention relates to a usage status analysis apparatus, a communication terminal, a usage status analysis method, and a program for analyzing usage status of a service.

  In recent years, there has been considered a system that counts the number of accesses to a site that provides a service in a predetermined period and calculates the use status of the service of the user based on the result (see, for example, Patent Document 1). In such a system, a method is also considered in which only users who have accessed more than a predetermined number of times within a certain period are targeted for observation.

Japanese Patent No. 4786690

  Generally, a service provider (hereinafter referred to as a service provider) wants to grasp whether or not each user regularly uses a service provided. For example, the service provider accurately grasps the number of users who regularly use the service, and the number of users who do not By doing so, the success or failure of the implemented promotion is judged. For this purpose, it is necessary to measure data that can be used for steady use.

  However, in the above-described system, there is a problem in that it is not possible to obtain data that can be used for grasping steady use because only statistics on the number of uses in a certain period are obtained.

  An object of the present invention is to provide a usage status analysis device, a communication terminal, a usage status analysis method, and a program that solve the above-described problems.

The utilization status analysis device of the present invention is
User identification information for identifying a user, parameters indicating the usage status of the user's service, elapsed days indicating the number of days since the user started using the service, and the usage A database that stores the number of blank days indicating the number of days that have passed since the user last used the service in association with each other;
From the user, it is determined whether there is an access for using the service, and if it is determined that there is an access, an access determination unit that clears the blank days stored in the database;
Once a day, the elapsed days and the blank days stored in the database are updated, and the parameters of the previous day , the elapsed days and the blank days stored in the database, and in advance according to the service Based on the set forgetting rate corresponding to the expected usage frequency for the service , the latest parameter is calculated, and the previous day parameter stored in the database is updated to the calculated latest parameter. And a calculation unit.

The communication terminal of the present invention
A parameter indicating the usage status of the service of the user, an initial usage date indicating the date when the user started using the service, and a previous usage date indicating the date when the user last used the service. A database to store in association;
An input unit that accepts external input;
When the input unit accepts the input, based on the first use date stored in the database, the elapsed time indicating the number of days elapsed from the first use date is calculated, and the previous use stored in the database. Based on the date, the user calculates a blank day number indicating the number of days that have elapsed since the last use of the service, the calculated elapsed day and the blank day number, and a parameter for the previous day stored in the database; Based on the forgetting rate corresponding to the usage frequency expected for the service set in advance according to the service , the latest parameter is calculated, and the parameter of the previous day stored in the database is calculated. A parameter processing unit for updating to the latest parameter and updating a previous use date stored in the database;
A transmission unit that transmits the updated parameter and user identification information for identifying the user to an externally connected device when the parameter stored in the database is updated; Have.

In addition, the utilization status analysis method of the present invention includes:
User identification information for identifying a user by the computer, a parameter indicating the usage status of the service of the user, an elapsed number of days indicating the number of days that have elapsed since the user started using the service, A process of associating and storing in the database the blank days indicating the number of days that have passed since the user last used the service;
A process in which the computer determines whether or not the user has accessed to use the service;
When the computer determines that the access has occurred, a process of clearing the blank days stored in the database;
A process in which the computer updates the elapsed days and the blank days stored in the database once a day;
Once a day, the computer forgets the parameters of the previous day stored in the database, the elapsed days and the blank days, and the forgetting corresponding to the usage frequency expected for the service preset according to the service Processing to calculate the latest parameters based on the rate ,
A process of updating the previous day parameter stored in the database to the latest calculated parameter is performed.

The program of the present invention is
A program for causing a computer to execute,
User identification information for identifying a user, parameters indicating the usage status of the user's service, elapsed days indicating the number of days since the user started using the service, and the usage A procedure for associating and storing in the database a blank number of days indicating the number of days that have passed since the user last used the service;
A procedure for determining whether or not the user has accessed to use the service;
If it is determined that the access has occurred, a procedure for clearing the blank days stored in the database;
Updating the elapsed days and the blank days stored in the database once a day;
Once a day, the parameters of the previous day stored in the database, the elapsed days and the blank days, and the forgetting rate corresponding to the usage frequency expected for the service preset according to the service Based on the procedure to calculate the latest parameters,
And a procedure for updating the parameter of the previous day stored in the database to the latest calculated parameter.

  As described above, in the present invention, it is possible to acquire data that can grasp steady use.

It is a figure which shows 1st Embodiment of the utilization condition analyzer of this invention. It is a figure which shows an example of the correlation memorize | stored in the database shown in FIG. It is a figure which shows an example of the coefficient memorize | stored in the database shown in FIG. It is a flowchart for demonstrating the process in the access determination part shown in FIG. It is a flowchart for demonstrating the process in the calculation part shown in FIG. It is a figure which shows 2nd Embodiment of the utilization condition analyzer of this invention. It is a flowchart for demonstrating the process in the analysis part shown in FIG. It is a figure which shows the 1st example of the output from the provider apparatus shown in FIG. It is a figure which shows the 2nd example of the output from the provider apparatus shown in FIG. It is a figure which shows the 3rd example of the output from the provider apparatus shown in FIG. It is a figure which shows the 4th example of the output from the provider apparatus shown in FIG. It is a figure which shows the 5th example of the output from the provider apparatus shown in FIG. It is a figure which shows an example of the correlation memorize | stored in the database shown in FIG. It is a figure which shows 3rd Embodiment of the utilization condition analyzer of this invention. It is a figure which shows an example of the correlation memorize | stored in the database shown in FIG. It is a figure which shows an example of the correlation memorize | stored in the database shown in FIG. It is a flowchart for demonstrating the process in the user terminal shown in FIG.

Embodiments of the present invention will be described below with reference to the drawings. In addition, “use of service” described below means that a user receives distribution of an application provided by a service provider or presents predetermined information by accessing a company site that provides the service. Receiving service, receiving a service from a service provider based on the user's operations and actions, such as using a point card. In addition to using services via a communication network, “use of services” is not limited to using services and programs in user terminals by using applications installed on user terminals. It may be used.
(First embodiment)
FIG. 1 is a diagram showing a first embodiment of a utilization state analyzing apparatus of the present invention.

  As shown in FIG. 1, the usage status analysis apparatus 100 in this embodiment includes a database 110, an access determination unit 120, and a calculation unit 130.

  The database 110 stores user identification information, parameters, elapsed days, and blank days in association with each other. The database 110 stores a preset coefficient. This coefficient can be changed by inputting from the outside.

  FIG. 2 is a diagram showing an example of association stored in the database 110 shown in FIG.

  As shown in FIG. 2, the database 110 shown in FIG. 1 stores user identification information, FUR (Frequency User Ratio) that is a parameter, elapsed days, and blank days in association with each other. In the database 110, such association is stored for each service. As for the FUR, a daily FUR is stored.

  The user identification information is an identifier for identifying a user, and may be a commonly used member ID (Identification), UUID (Universally Unique Identifier), or the like. Moreover, the determination method of user identification information is not specified in particular.

  The FUR is a parameter indicating the service usage status of the user up to that date.

  The number of days elapsed indicates the number of days that have elapsed since the day when the user started using the service.

  The blank days indicate the number of days that have passed since the user last used the service.

  For example, as shown in FIG. 2, user identification information “User A”, FUR “0.752”, elapsed days “135”, and blank days “2” are stored in association with each other. This is because 135 days have passed since a user with user identification information “User A” started using a service, and the service has not been used for the last two days. This indicates that the value of FUR is “0.752.” Further, user identification information “User B”, FUR “0.529”, elapsed days “120”, and blank days “4” are stored in association with each other. This is because 120 days have passed since a user with user identification information “User B” started using a service, and the service has not been used for the last four days. This indicates that the FUR value of “0.529”. In addition, user identification information “User C”, FUR “0.411”, elapsed days “74”, and blank days “23” are stored in association with each other. This is because 74 days have passed since a user with user identification information “User C” started using a service, and the service has not been used for the last 23 days. The FUR value of “0.411” is indicated. In addition, user identification information “User D”, FUR “1.000”, elapsed days “1”, and blank days “0” are stored in association with each other. This is because one day has passed since the user to whom the user identification information “User D” was assigned started using a certain service, and the current FUR value is “1.000”. It is shown that. The elapsed days may be calculated by setting the date when the user starts using the service as “0”, or may be calculated as “1”. Further, the blank days may be calculated by setting the last use date of the service by the user as “0”, or may be calculated as “1”.

  Further, the database 110 may store the first use date instead of the elapsed days and the previous use date instead of the blank days. The first use date indicates whether the user has started using the service. The previous use date indicates the date when the user last used the service.

  FIG. 3 is a diagram showing an example of coefficients stored in the database 110 shown in FIG.

  As shown in FIG. 3, the database 110 shown in FIG. 1 stores a daily value and a forgetting rate (λ) that is a coefficient in association with each other. The daily value indicates the frequency at which the service provider wants to use the provided service or the expected (expected) usage frequency. The forgetting rate is used by the calculation unit 130 for the calculation for updating the FUR. The database 110 stores which daily value is used for each service. Thereby, the calculation unit 130 can acquire the forgetting rate used by the calculation unit 130 for calculation for FUR update for each service. This association can be set and changed from the outside.

  For example, the daily value “every day (daily)” and the forgetting rate “1.58” are stored in association with each other. This indicates that the calculation unit 130 performs calculation using the forgetting rate “1.58” as a coefficient for a service whose daily value is set to “every day (daily)”. The daily value “every 2 days” and the forgetting rate “0.79” are stored in association with each other. This indicates that the calculation unit 130 performs calculation using the forgetting rate “0.79” as a coefficient for a service whose daily value is set to “every 2 days”. The daily value “every 7 days (weekly)” and the forgetting rate “0.23” are stored in association with each other. This indicates that the calculation unit 130 performs calculation using the forgetting rate “0.23” as a coefficient for a service whose daily value is set to “every 7 days (weekly)”.

  The access determination unit 120 determines whether there is an access for using the service. This determination method determines that a signal including user identification information (hereinafter referred to as a usage signal) transmitted when using a service from a user terminal operated by the user is transmitted. The way to do is good. Further, when the access determination unit 120 determines that there is an access, the access determination unit 120 clears the number of blank days stored in the database 110 and associated with the service. Specifically, the access determination unit 120 reads the blank days associated with the user identification information included in the usage signal transmitted from the user terminal for the service from the database 110, and calculates the blank days. Set to “0 (zero)” and return to database 110. In addition, when the user identification information included in the usage signal transmitted from the user terminal is not stored in the database 110 for the service, the access determination unit 120 stores a new association in the database 110. Specifically, for the service, the access determination unit 120 includes the user identification information included in the usage signal transmitted from the user terminal, the FUR “1”, and the elapsed days “1” or “0”. The database 110 stores the association with the blank days “0”. Further, when the previous use date is stored in the database 110, the access determination unit 120 updates the previous use date when it is determined that there is an access.

  It is sent from the user terminal, such as when the application cannot acquire user-specific information that the user terminal has and cannot transmit user identification information, or when the application does not generate user identification information. It is conceivable that the user identification information is not included in the received “use signal”. In such a case, the access determination unit 120 generates user identification information, the database 110 stores the generated user identification information, and a usage signal including the user identification information generated from the next time is received. In order to prompt the user terminal to send, the user identification information may be transmitted to the user terminal.

  The calculation unit 130 updates the elapsed days and blank days stored in the database 110 once a day. This update timing is a predetermined time once a day. Further, the calculation unit 130 calculates the latest FUR once a day based on the FUR stored in the database 110, the elapsed days and the blank days, and the coefficient set for the service. The timing of this calculation is a predetermined time once a day. The latest FUR calculation formula is shown in (Formula 1).

In (Equation 1), F _t is the latest (after update) FUR, F _t-1 is the FUR before update, n is the number of days elapsed, p is the number of blank days, and λ is a coefficient (forgetting rate). The default time can be set and changed by inputting from the outside. For example, if this time is set to 6:00 am, the calculation unit 130 performs the above-described processing at 6:00 am every day. If accuracy is required for a predetermined time, it is preferable to set the same time every day. However, considering the processing and maintenance of various services, the time may be slightly shifted depending on the day of the week. It doesn't matter.

  Then, the calculation unit 130 updates the FUR stored in the database 110 with the latest calculated FUR. At this time, the calculation unit 130 also stores the pre-update FUR in association with information indicating the date on which the FUR was calculated. Note that the FUR before update may be deleted after a predetermined period has elapsed.

  In addition, when the first usage date and the previous usage date are stored in the database 110, the calculation unit 130 calculates the elapsed days based on the first usage date when calculating the latest FUR, and based on the previous usage date. The blank days may be calculated and the latest FUR may be calculated using these calculated values.

  Hereinafter, processing in the access determination unit 120 illustrated in FIG. 1 will be described.

  FIG. 4 is a flowchart for explaining processing in the access determination unit 120 shown in FIG.

  First, the access determination unit 120 determines whether there is an access for using the service (step S1). This determination method may be the method described above. If the access determination unit 120 determines that there is an access to use the service, the access determination unit 120 clears (sets to “0”) the blank days stored in the database 110 and associated with the service (step “0”). S2).

  Below, the process in the calculation part 130 shown in FIG. 1 is demonstrated.

  FIG. 5 is a flowchart for explaining processing in the calculation unit 130 shown in FIG.

  The calculation unit 130 determines whether or not a predetermined time has come (step S11). At this time, the calculation unit 130 uses the time acquired from the clock provided in the usage status analysis apparatus 100 or the means for acquiring the time from the outside, and uses the time acquired by the means. There may be.

  When it is determined that the predetermined time has come, the calculation unit 130 reads the FUR, the elapsed days, and the blank days from the database 110 (step S12). Subsequently, the calculation unit 130 updates the elapsed days (step S13). That is, the calculation unit 130 increments the elapsed days read from the database 110 and writes the incremented elapsed days in the database 110. Moreover, the calculation part 130 updates the blank days (step S14). That is, the calculation unit 130 increments the blank days read from the database 110 and writes the incremented blank days to the database 110.

  In addition, the calculation unit 130 calculates the latest FUR based on the FUR, the elapsed days and the blank days stored in the database 110, and the coefficient set for the service (step S15). The calculation method is as described above. Then, the calculation unit 130 updates the FUR stored in the database 110 with the latest calculated parameter (step S16).

  Note that the order of the processes in steps S13 and S14 and the processes in steps S15 and S16 may be reversed. That is, the calculation unit 130 may perform steps S13 and S14 after performing steps S15 and S16.

In this way, by updating the parameter indicating the usage status based on the elapsed days and the blank days, it is possible to obtain data that allows the user to grasp whether or not the service is regularly used. It becomes possible.
(Second Embodiment)
FIG. 6 is a diagram showing a second embodiment of the utilization state analyzing apparatus of the present invention.

  As shown in FIG. 6, this embodiment includes a usage status analysis apparatus 101, a provider apparatus 200, and user terminals 300-1 to 300-3. Further, the usage status analysis apparatus 101 and the user terminals 300-1 to 300-3 are configured to be connectable via a network 400 that is a communication network. In the form shown in FIG. 6, a case where there are three user terminals is shown as an example, but the number is not specified. Further, the usage status analysis apparatus 101 and the provider apparatus 200 may be connectable via the network 400.

  As shown in FIG. 6, the usage status analysis apparatus 101 includes a database 110, an access determination unit 120, a calculation unit 130, and an analysis unit 140. The database 110, the access determination unit 120, and the calculation unit 130 are the same as those in the first embodiment.

  When the provider device 200 requests provision of information indicating the usage status by specifying a service, the analysis unit 140 reads the FUR for the service from the database 110. In addition, the analysis unit 140 performs an analysis according to the request for the FUR read from the database 110. Further, the analysis unit 140 provides the analysis result to the provider device 200 that is the request source. A specific analysis method will be described later.

  Note that after the FUR is updated once a day, the usage status analysis apparatus 101 automatically sets the updated FUR and the user identification information corresponding to the FUR automatically (for example, a predetermined cycle). May be transmitted to the provider device 200 using e-mail or the like.

  Provider device 200 is a communication device operated by a service provider. Also, the provider device 200 requests the usage status analysis device 101 for the usage status of the user based on the operation of the service provider. This request is a request for information shown in a form that allows the service provider to grasp the usage status, such as the distribution and ratio of the frequency of FUR, and the change in FUR from a certain date. The operation of the service provider is not particularly defined. For example, the provider device 200 may display a screen for selecting a request content, and may be a selection input according to the display.

  User terminals 300-1 to 300-3 are communication terminals operated by the user. The user operates the user terminals 300-1 to 300-3 to use the service provided by the service provider.

  Below, the process in the analysis part 140 shown in FIG. 6 is demonstrated. Note that the processing in the access determination unit 120 and the processing in the calculation unit 130 shown in FIG. 6 are the same as those in the first embodiment.

  FIG. 7 is a flowchart for explaining processing in the analysis unit 140 shown in FIG.

  First, the analysis unit 140 determines whether or not the provider device 200 has requested the provision of information indicating the usage status by designating a service (step S21). A predetermined request signal is used for this request. The request signal includes information that enables the analysis unit 140 to recognize that the request is present, and presentation form information indicating a form of presentation such as how the usage status is provided. When it is determined from the provider device 200 that provision of information indicating the usage status is requested by specifying the service, the analysis unit 140 reads the FUR stored in the database 110 for the specified service (step S22). ).

  Subsequently, the analysis unit 140 analyzes the read FUR according to the requested presentation form (step S23). The output as a result of this analysis may be, for example, a FUR frequency distribution or a FUR ratio. Further, the output as a result of this analysis may be a distribution of a plurality of divided groups by dividing the FUR into a plurality of groups using a preset threshold value, and may be a plurality of distributions for the total number of uses. It may be a ratio of the number of users corresponding to FURs included in each group.

  In addition, when the service and the elapsed days are specified and the provision of information indicating the usage status is requested, the analysis unit 140 reads the FUR associated with the specified elapsed days for the specified service from the database 110. Alternatively, the read FUR distribution may be analyzed. Further, when the usage status of the withdrawal user is requested from the provider device 200, the analysis unit 140 has an elapsed number of days within a predetermined number of days (first number of days) and a blank number of days equal to a predetermined number of days (first number). (The number of days of 2) or more may be analyzed.

  The analysis unit 140 provides the analysis result by transmitting it to the provider device 200 (step S24).

  The provider device 200 outputs the result provided from the analysis unit 140. The output method may be screen display or printing. At this time, when the provider device 200 acquires the analysis result from the analysis unit 140 every day, if the user device wants to grasp the chronological statistics, the result provided from the usage status analysis device 101 is It may be placed on a graph with the axis as the date.

  Below, some examples of the output from the provider apparatus 200 shown in FIG. 6 are shown. Here, the case where the output is provided as a graph will be described as an example. However, not only using the graph but also numerical data (for example, CSV (Comma Separated Values) format or spreadsheet software file format). It may be provided.

  FIG. 8 is a diagram illustrating a first example of the output from the provider device 200 illustrated in FIG. 6.

  As shown in FIG. 8, the provider device 200 divides the FUR into three groups of 0.0 to 0.5, 0.5 to 0.8, and 0.8 to 1.0 for each date, The frequency distribution for each group is output as a graph. This is because the analysis method in the analysis unit 140 divides the FUR into three groups using two threshold values (0.5 and 0.8) for each day, obtains the frequency of users in each group, and distributes the distributions. It is a method to ask for.

  FIG. 9 is a diagram illustrating a second example of the output from the provider device 200 illustrated in FIG. 6. In FIG. 9, a user whose FUR is 0.0 to 0.5 is a “look user”, a user whose FUR is 0.5 to 0.8 is a “fixed user”, and a FUR is 0.8 to A user who is 1.0 is referred to as an “attached user”. In addition, “DAU” illustrated in FIG. 9 is a Daily Active User, and indicates the number of users who have accessed the day.

  As shown in FIG. 9, the provider device 200 outputs the frequency of the attached user, the fixed user, the seeming user, and the DAU for each date as a line graph, and further, the seeming user, the fixed user, and the attached user for the whole. The ratio is output as a graph. This is a method in which the analysis method in the analysis unit 140 divides the FUR into three groups, obtains the frequency of users in each group, and further obtains the ratio of each frequency to the total frequency.

  FIG. 10 is a diagram illustrating a third example of the output from the provider device 200 illustrated in FIG. In FIG. 10, a user who uses a certain service is a first user, and a user who uses the service again among the users is a re-user.

  As shown in FIG. 10, the provider apparatus 200 outputs the number of first users and the number of re-users as a graph for each date. This is because the analysis method in the analysis unit 140 determines whether each user is a first user or a re-user based on the elapsed days and the blank days for the specified service, It is a method to ask for. In other words, the analysis unit 140 determines that a user whose elapsed days and blank days are the same for the specified service is the first user, and a user whose elapsed days and blank days are different is a re-user. Determine that there is.

  FIG. 11 is a diagram illustrating a fourth example of the output from the provider device 200 illustrated in FIG. 6. In FIG. 11, the number of users who have passed a predetermined number of days since the user used the service and whose FUR is a predetermined value or more is shown as the true number of users.

  As shown in FIG. 11, for each date, the provider device 200 graphs the number of users whose FUR is 0.5 or more after 30 days have passed since the user used the service. Output. This is a method in which the analysis method in the analysis unit 140 obtains the number of users who satisfy a condition based on the elapsed days and FUR for a specified service. The reference elapsed days and FUR can be set by external input.

  FIG. 12 is a diagram illustrating a fifth example of the output from the provider device 200 illustrated in FIG. FIG. 12 shows two patterns of the usage status of the user after starting to use the service during a certain period.

  As shown in FIG. 12, the provider apparatus 200 outputs the distribution of FUR from a certain service day as a graph for each date. This is a method in which the analysis method in the analysis unit 140 calculates the FUR distribution based on the FUR associated with the specified elapsed days for the specified service.

  As described above, the usage status analysis apparatus 101 according to the present embodiment updates the FUR based on the elapsed days and the blank days, and when provision of information indicating the usage status is requested by designating the service, The FUR is analyzed according to the request and provided to the request source. As a result, it is possible to acquire data indicating the usage status that the requester wants to grasp in a desired form.

  As a modification, the database 110 shown in FIG. 6 may store information indicating whether or not the database 110 is used every day instead of the blank days.

  FIG. 13 is a diagram illustrating an example of association stored in the database 110 illustrated in FIG. 6.

  As shown in FIG. 13, the database 110 shown in FIG. 6 stores user identification information, FUR that is a parameter, first use date, and use detail record in association with each other. In the database 110, such association is stored for each service.

  The user identification information and FUR are the same as those shown in FIG.

  The first use date indicates the date when the user first used the service.

  The usage detail record is information indicating every day whether or not the user has used the service. In the example shown in FIG. 13, “1” indicates that the service is used, and “0” is stored in the database 110 as information indicating that the service is not used.

  For example, as shown in FIG. 13, user identification information “User A”, FUR “0.752”, first use date “August 23, 2013”, and use detail record “10110001011...” Are stored in association with each other. This is because the date when the user to whom the user identification information “User A” is assigned starts using the service is August 23, 2013, and the current FUR parameter is “0.752. ". In addition, the usage status of Service after August 23, 2013 of User A is used on August 23, not on August 24, but on August 25 and 26, and from August 27 29 is not used, August 30 is used, August 31 is not used, and September 1 and 2 are used. Further, the date when the user to whom the user identification information “User B” is assigned starts using the certain service is August 26, 2013, and the current FUR parameter is “0.35”. It is shown that. In addition, the usage status of the service after August 26, 2013 of User B indicates that the service is used on August 26 and is not used after August 27.

In this way, the database 110 stores information indicating whether or not the service has been used without storing the past FUR for each day, and stores the bit for each day. Thus, for example, even when access data for one year is stored, it can be stored with a storage capacity of 365 bits. Note that the FUR is stored in the database 110 in order to acquire the current FUR without recalculation, and the calculation unit 130 uses the value of the usage detail record in order to acquire the FUR of another day. To calculate.
(Third embodiment)
Further, the user terminal may calculate the FUR of the user who uses the user terminal.

  FIG. 14 is a diagram showing a third embodiment of the usage status analysis apparatus of the present invention.

  As shown in FIG. 14, the present embodiment includes a usage status analysis device 102, a provider device 200, and user terminals 301-1 to 301-3. Further, the usage status analysis apparatus 102 and the user terminals 301-1 to 301-3 are configured to be connectable via a network 400 which is a communication network. In the form shown in FIG. 14, a case where there are three user terminals is shown as an example, but the number is not specified. Further, the usage status analysis device 102 and the provider device 200 may be connectable via the network 400.

  User terminals 301-1 to 301-3 are communication terminals operated by the user. The user operates the user terminals 301-1 to 301-3 to use the service provided by the service provider. The internal structure of the user terminals 301-1 to 301-3 will be described with the user terminal 301-1 as a representative.

  As shown in FIG. 14, the user terminal 301-1 is provided with a database 310, an input unit 320, a parameter processing unit 330, and a transmission unit 340.

  The database 310 includes a parameter indicating a usage status of a user's service, a first usage date indicating a date when a user operating the user terminal 301-1 starts using the service, and the user selects the service. The last use date indicating the last use date is stored in association with each other.

  FIG. 15 is a diagram showing an example of association stored in the database 310 shown in FIG.

  As shown in FIG. 15, the database 310 shown in FIG. 14 stores FUR, which is a parameter, the first use date, and the previous use date in association with each other. The database 310 stores such association for each service.

  For example, as shown in FIG. 15, the FUR “0.752”, the first use date “April 1, 2013”, and the previous use date “August 13, 2013” are stored in association with each other. Yes. This indicates that the date when the user started using a certain service is April 1, 2013, and the last use date is August 12, 2013.

  The input unit 320 receives an input from the outside based on a user operation. The input unit 320 is, for example, a keyboard, a mouse, a touch panel, or the like.

  When the input unit 320 accepts input, the parameter processing unit 330 calculates the number of elapsed days indicating the number of days that have elapsed since the first use date based on the first use date stored in the database 310. Further, the parameter processing unit 330 indicates the number of days that have elapsed since the last use of the service by the user based on the previous use date stored in the database 310 when the input unit 320 accepts the input. Calculate blank days. Needless to say, the parameter processing unit 330 calculates the difference between the first use date and the current date as the number of days elapsed. The parameter processing unit 330 calculates the difference between the previous use date and the current date as the number of blank days. Further, the parameter processing unit 330 calculates the latest FUR based on the calculated elapsed days and blank days, the FUR stored in the database 310, and a coefficient set in advance for each service. This coefficient is the same as that described in the first embodiment. Also, the same method as that described in the first embodiment is used for the latest FUR calculation method. In addition, the parameter processing unit 330 updates the parameter stored in the database 310 with the latest calculated parameter. The parameter processing unit 330 updates the previous use date stored in the database 310.

  When the FUR stored in the database 310 is updated, the transmission unit 340 transmits the updated FUR and user identification information to the usage status analysis apparatus 102 that is an externally connected apparatus.

  As shown in FIG. 14, the usage state analysis apparatus 102 includes a database 111, an analysis unit 140, and a reception unit 150. The analysis unit 140 is the same as that in the second embodiment.

  The receiving unit 150 receives the user identification information and FUR transmitted from the user terminals 301-1 to 301-3 and writes them into the database 111.

  The database 111 stores the user identification information written by the receiving unit 150 and the FUR in association with each other.

  FIG. 16 is a diagram illustrating an example of association stored in the database 111 illustrated in FIG.

  The database 111 shown in FIG. 14 stores user identification information and FUR in association with each other as shown in FIG. The database 111 stores such association for each service.

  The provider device 200 is the same as that in the second embodiment.

  Below, the process in the user terminal 300-1 shown in FIG. 14 is demonstrated.

  FIG. 17 is a flowchart for explaining processing in user terminal 300-1 shown in FIG. Here, the use of a service will be described by taking the activation of an application provided by a service provider as an example.

  First, when the input unit 320 receives an input for starting an application and starts the application (step S31), the parameter processing unit 330 passes from the first use date based on the first use date stored in the database 310. The number of elapsed days indicating the number of days completed is calculated (step S32). Further, the parameter processing unit 330 calculates the number of blank days indicating the number of days that have elapsed since the last use of the service by the user based on the previous use date stored in the database 310 (step S33).

  Subsequently, the parameter processing unit 330 calculates the latest FUR based on the calculated elapsed days and blank days, the FUR stored in the database 310, and the coefficient set in advance for each service (step S34). ). The coefficient and the latest FUR calculation method are the same as those described in the first embodiment, and the parameter processing unit 330 calculates the latest FUR using (Equation 1).

  Then, the transmission unit 340 transmits the calculated latest FUR and user identification information for identifying the user to the usage status analysis apparatus 102 via the network 400 (step S35). Also, the parameter processing unit 330 updates the FUR stored in the database 310 to the latest calculated FUR, and updates the previous use date stored in the database 310 (step S36).

  Note that the order of the process of step S35 and the process of step S36 may be reversed. That is, after the parameter processing unit 330 performs the process of step S36, the transmission unit 340 may perform the process of step S35.

  In this embodiment, the user terminal 301-1 to 301-3 calculates the latest FUR of the user when the service is used, and transmits it to the usage status analysis device 102, thereby using the usage status analysis device. The processing load related to the calculation of the latest FUR at 102 is reduced.

  As described above, the present invention updates the parameters using the number of days elapsed from the date when the service is started to be used, the number of blank days from the date when the service was last used, and the parameter indicating the usage status. And provide updated parameters. Thereby, the data which can grasp | ascertain regular use are acquirable.

  The processing performed by each component provided in each of the usage status analysis apparatuses 100 to 102 and the user terminals 301-1 to 301-3 described above may be performed by a logic circuit created according to the purpose. . In addition, a computer program (hereinafter referred to as a program) in which processing contents are described as a procedure is recorded on a recording medium that can be read by each of the usage status analysis apparatuses 100 to 102 and the user terminals 301-1 to 301-3. The program recorded on the recording medium may be read and executed by each of the usage status analysis apparatuses 100 to 102 and the user terminals 301-1 to 301-3. Recording media that can be read by each of the usage status analysis apparatuses 100 to 102 and the user terminals 301-1 to 301-3 include a floppy (registered trademark) disk, a magneto-optical disk, a DVD (Digital Versatile Disk), and a CD (Compact). In addition to transferable recording media such as (Disc), ROM (Read Only Memory), RAM (Random Access Memory), etc. incorporated in each of the usage status analysis devices 100 to 102 and user terminals 301-1 to 301-3 It refers to memory, HDD (Hard Disk Drive) and the like. The program recorded on the recording medium is read by a CPU (Central Processing Unit) (not shown) provided in each of the usage status analysis apparatuses 100 to 102 and the user terminals 301-1 to 301-3, By the control, processing similar to that described above is performed. Here, the CPU operates as a computer that executes a program read from a recording medium on which the program is recorded.

A part or all of the above embodiment can be described as in the following supplementary notes, but is not limited thereto.
(Appendix 1) User identification information for identifying a user, parameters indicating the usage status of the service of the user, and the number of days that have elapsed since the date when the user started using the service And a database for storing the number of blank days indicating the number of days that have passed since the user last used the service,
From the user, it is determined whether there is an access for using the service, and if it is determined that there is an access, an access determination unit that clears the blank days stored in the database;
Once a day, the elapsed days and the blank days stored in the database are updated, and the parameters, the elapsed days and the blank days stored in the database are set in advance according to the service. And a calculation unit that calculates the latest parameter based on the calculated coefficient and updates the parameter stored in the database to the calculated latest parameter.
(Supplementary Note 2) When provision of information indicating the usage status is requested by designating the service, the parameter in the service is read from the database, and the read parameter is analyzed according to the request, The usage status analysis apparatus according to appendix 1, further comprising an analysis unit that provides a result to the request source.
(Additional remark 3) The said analysis part is a utilization condition analysis apparatus of Additional remark 2 which provides distribution of the said parameter to the said request origin.
(Additional remark 4) The said analysis part divides | segments the said parameter into a some group using the preset threshold value, and provides distribution of this divided | segmented several group to the said request origin. The usage analysis device described.
(Additional remark 5) The said analysis part is a utilization condition analysis apparatus of Additional remark 4 which provides the ratio of the number of users contained in each of these groups with respect to the total number of users to the said request origin.
(Additional remark 6) When the said analysis part designates the said elapsed days and the provision of the information which shows the said usage condition is requested | required, the said parameter matched with this designated elapsed days will be read from the said database, 6. The usage status analysis apparatus according to any one of appendices 2 to 5, wherein the read parameter distribution is provided to the request source.
(Supplementary Note 7) The analysis unit provides the request source with the number of users whose elapsed days are within a predetermined first number of days and whose blank days are equal to or greater than a predetermined second number of days. To 5. The usage status analyzer according to any one of 5 to 5.
(Supplementary Note 8) When the access determination unit determines that the access has been made and the user identification information of the user who has performed the access is not stored in the database, the parameter is set to 1 and the elapsed days The usage status analysis apparatus according to any one of appendices 1 to 7, wherein 1 is set to 1, and the blank days is set to 0 and stored in the database in association with the user identification information.
(Supplementary note 9) The usage status analysis apparatus according to any one of supplementary notes 1 to 8, wherein the service is distribution of an application.
(Supplementary Note 10) The usage status analysis apparatus according to any one of Supplementary Notes 1 to 8, wherein the service is presentation of predetermined information.
(Additional remark 11) The parameter which shows the use condition of a user's service, the first use day which shows the day when the user started using the service, and the last time which the user last used the service A database for storing the usage dates in association with each other;
An input unit that accepts external input;
When the input unit accepts the input, based on the first use date stored in the database, the elapsed time indicating the number of days elapsed from the first use date is calculated, and the previous use stored in the database. Based on the date, the user calculates a blank days indicating the number of days that have elapsed since the last use of the service, the calculated elapsed days and blank days, the parameter stored in the database, The latest parameter is calculated based on the coefficient set in advance according to the service, the parameter stored in the database is updated to the calculated latest parameter, and stored in the database. A parameter processing unit for updating the previous use date;
A transmission unit that transmits the updated parameter and user identification information for identifying the user to an externally connected device when the parameter stored in the database is updated; Communication terminal having.
(Supplementary note 12) User identification information for identifying a user, a parameter indicating the usage status of the service of the user, and the number of elapsed days indicating the number of days since the user started using the service And a process of associating and storing in the database the blank days indicating the number of days that have passed since the user last used the service;
A process for determining whether or not the user has accessed to use the service;
When it is determined that the access has occurred, a process of clearing the blank days stored in the database;
A process of updating the elapsed days and the blank days stored in the database once a day;
A process of calculating the latest parameters once a day based on the parameters stored in the database, the elapsed days and the blank days, and a coefficient set in advance according to the service;
A usage status analysis method for performing a process of updating a parameter stored in the database to the latest calculated parameter.
(Supplementary note 13)
User identification information for identifying a user, parameters indicating the usage status of the user's service, elapsed days indicating the number of days since the user started using the service, and the usage A procedure for associating and storing in the database a blank number of days indicating the number of days that have passed since the user last used the service;
A procedure for determining whether or not the user has accessed to use the service;
If it is determined that the access has occurred, a procedure for clearing the blank days stored in the database;
Updating the elapsed days and the blank days stored in the database once a day;
Calculating the latest parameters once a day based on the parameters stored in the database, the elapsed days and the blank days, and a coefficient preset according to the service;
A program for executing a procedure for updating a parameter stored in the database to the latest calculated parameter.

100-102 Usage status analysis device 110, 111, 310 Database 120 Access determination unit 130 Calculation unit 140 Analysis unit 150 Receiving unit 200 Provider device 300-1 to 300-3, 301-1 to 301-3 User terminal 320 Input Unit 330 parameter processing unit 340 transmission unit 400 network

Claims (9)

User identification information for identifying a user, parameters indicating the usage status of the user's service, elapsed days indicating the number of days since the user started using the service, and the usage A database that stores the number of blank days indicating the number of days that have passed since the user last used the service in association with each other;
From the user, it is determined whether there is an access for using the service, and if it is determined that there is an access, an access determination unit that clears the blank days stored in the database;
Once a day, the elapsed days and the blank days stored in the database are updated, and the parameters of the previous day , the elapsed days and the blank days stored in the database, and in advance according to the service Based on the set forgetting rate corresponding to the expected usage frequency for the service , the latest parameter is calculated, and the previous day parameter stored in the database is updated to the calculated latest parameter. A usage analysis device having a calculation unit. A usage analysis apparatus according to claim 1,
When provision of information indicating the usage status is requested by designating the service, the parameter in the service is read from the database, the read parameter is analyzed according to the request, and the result is obtained as the request. have a analysis unit which provides to the original,
The analysis unit divides the parameter into a plurality of groups using a preset threshold, and provides a distribution of the divided groups to the request source . A usage analysis apparatus according to claim 2,
The analysis unit is a usage status analysis device that provides a ratio of the number of users included in each of the plurality of groups to the total number of users to the request source. A usage analysis apparatus according to claim 2 or 3,
When the analysis unit is requested to provide information indicating the usage status by specifying the elapsed days and the parameter value , the analysis unit has passed the specified elapsed days and the specified parameter value A usage status analysis apparatus that reads the number of users described above from the database and provides the distribution of the number of read users to the request source. A usage analysis device according to any one of claims 1 to 4,
When the access determination unit determines that the access has occurred, if the user identification information of the user who has performed the access is not stored in the database, the parameter is set to 1, the elapsed days is set to 1, A usage status analysis apparatus that stores the blank days as 0 in association with the user identification information and stored in the database. A usage analysis device according to any one of claims 1 to 3,
Usage of the service is a usage status analysis device that is usage of an application installed on a user terminal used by a user. A parameter indicating the usage status of the service of the user, an initial usage date indicating the date when the user started using the service, and a previous usage date indicating the date when the user last used the service. A database to store in association;
An input unit that accepts external input;
When the input unit accepts the input, based on the first use date stored in the database, the elapsed time indicating the number of days elapsed from the first use date is calculated, and the previous use stored in the database. Based on the date, the user calculates a blank day number indicating the number of days that have elapsed since the last use of the service, the calculated elapsed day and the blank day number, and a parameter for the previous day stored in the database; Based on the forgetting rate corresponding to the usage frequency expected for the service set in advance according to the service , the latest parameter is calculated, and the parameter of the previous day stored in the database is calculated. A parameter processing unit for updating to the latest parameter and updating a previous use date stored in the database;
A transmission unit that transmits the updated parameter and user identification information for identifying the user to an externally connected device when the parameter stored in the database is updated; Communication terminal having. User identification information for identifying a user by the computer, a parameter indicating the usage status of the service of the user, an elapsed number of days indicating the number of days that have elapsed since the user started using the service, A process of associating and storing in the database the blank days indicating the number of days that have passed since the user last used the service;
A process in which the computer determines whether or not the user has accessed to use the service;
When the computer determines that the access has occurred, a process of clearing the blank days stored in the database;
A process in which the computer updates the elapsed days and the blank days stored in the database once a day;
Once a day, the computer forgets the parameters of the previous day stored in the database, the elapsed days and the blank days, and the forgetting corresponding to the usage frequency expected for the service preset according to the service Processing to calculate the latest parameters based on the rate ,
A use state analysis method in which a computer performs a process of updating a parameter of the previous day stored in the database to the calculated latest parameter. On the computer,
User identification information for identifying a user, parameters indicating the usage status of the user's service, elapsed days indicating the number of days since the user started using the service, and the usage A procedure for associating and storing in the database a blank number of days indicating the number of days that have passed since the user last used the service;
A procedure for determining whether or not the user has accessed to use the service;
If it is determined that the access has occurred, a procedure for clearing the blank days stored in the database;
Updating the elapsed days and the blank days stored in the database once a day;
Once a day, the parameters of the previous day stored in the database, the elapsed days and the blank days, and the forgetting rate corresponding to the usage frequency expected for the service preset according to the service Based on the procedure to calculate the latest parameters,
A program for executing a procedure for updating a parameter of the previous day stored in the database to the latest calculated parameter.