JP5730734B2 - Application recommendation device, application recommendation method, and application recommendation program - Google Patents

Description

  The present invention relates to an application recommendation device, an application recommendation method, and an application recommendation program.

  Mobile terminals, which are called smartphones, are more popular than conventional mobile phone terminals. The smartphone employs an OS different from that of a conventional mobile phone terminal, and an application that has been operating on the conventional mobile phone terminal may not operate as it is. Therefore, when a user shifts from a conventional mobile phone terminal to a smartphone, there is a mechanism for proposing a similar application to an application introduced in the conventional mobile phone terminal.

  As a technique for presenting content similar to content used by a user, Patent Literature 1 describes an information generation device that considers a user's browsing history and generates recommendation information that considers the content currently being browsed. Yes. Further, Patent Document 2 describes a recommendation information generation device that can perform a recommendation that takes into account both a category level preference and a keyword level preference.

JP 2010-262401 A JP 2010-262383 A

  The technologies described in Patent Documents 1 and 2 are intended for moving image content and the like, and cannot propose an application that operates on a migration destination terminal with a different OS.

  In addition, with a mechanism that proposes an application with a high degree of similarity to all installed applications, there is a problem that an application that is low in similarity but cannot be proposed to the user and that the application according to the user's intention cannot be proposed. It was.

  The present invention has been made in view of the above problems, and an object of the present invention is to make it possible to propose application candidates in accordance with the user's intention to a migration destination terminal having a different OS.

  In order to solve the above-described problems and achieve the object, the application recommendation device according to the present invention recommends an application that can be used by a first terminal that is a migration source and a second terminal that is a migration destination terminal having a different OS. The application recommendation device, the first application type installed in the first terminal, the usage history of the first application and the first terminal belonging to the category of the first application Using a type determination unit that is determined based on a combination of the number of installed applications, and the similarity between each of the first application and each of a plurality of second applications that can be used on the second terminal A score calculation unit for calculating a score for determining a recommendation order for each of the second applications, and a type Having different than the upper limit number of one or more second application was determined for each type in the order of the score, a recommendation application output unit for outputting information of the determined said second application to.

  ADVANTAGE OF THE INVENTION According to this invention, the candidate of an application along a user's will can be proposed with respect to the terminal of the transfer destination from which OS differs.

1 represents a communication system including an application recommendation device according to an embodiment of the present invention. 1 represents a hardware configuration of an application recommendation device according to an embodiment of the present invention. The functional block diagram of the application recommendation apparatus in one Embodiment of this invention is represented. It is a flowchart showing the flow of classification of the application of the transfer origin. An example of the usage rate of the migration source application is shown. An example of the occupation ratio of the migration source application is shown. It is a flowchart showing the flow for recommendation of a similar application. An example of the name and description of the migration source application is shown. An example of the name and description of the destination application is shown. The example of the weighting of the score for every type and recommendation number for recommendation of a similar application is represented. The example of the table | surface which defines the correspondence of a similarity and a score is represented. An example of a table that defines the correspondence between the number of users and the number of points is shown. The example of the table | surface which defines the correspondence of user evaluation and a score is represented. The communication system containing the application recommendation apparatus which is a modification is represented.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

1. Overview 2. 2. Hardware configuration Function 4. 4. Type classification of migration source application Calculation of application similarity 6. Score calculation and recommendation for similar applications Modified example

(1. Overview)
FIG. 1 shows an overview of a communication system 1 including an application recommendation device 106 according to an embodiment of the present invention. The communication system 1 includes a migration source communication terminal 100, a migration destination communication terminal 102, and an application recommendation device 106 in model change or model replacement, and can communicate information about applications with each other via a network 104.

  The migration source communication terminal 100 is a communication terminal used by a user before migration, and is a mobile phone terminal in which an OS different from the OS installed in the migration destination communication terminal is introduced. In the communication terminal 100, an application to be transferred is introduced. Prior to the migration, the communication terminal 100 transmits information about the migration source application including the list of installed applications, the application usage history, and the number of applications included in each category of the application (hereinafter, “ The migration source application information 108 ”) is transmitted to the application recommendation device 106.

  The transfer destination communication terminal 102 is a communication terminal used by the user after the transfer, and is typically a smartphone. The communication terminal 102 has no user application installed in the initial state. Therefore, the user connects the communication terminal 102 to the application recommendation device 106 via the network 104 and receives a recommendation of one or more similar applications corresponding to the application used in the migration source communication terminal 100. The recommended result is displayed on the screen of the communication terminal 102, and the user can sequentially introduce what is determined to be necessary.

  The network 104 is a network that connects the communication terminals 100 and 102 and the application recommendation device 106, and is generally a mobile communication network or the Internet.

  The application recommendation device 106 includes migration source application information 108 received from the migration source communication terminal 100 before migration and available application information 110 that can be used in the migration destination communication terminal 102. When the user transitions to the migration destination communication terminal 102, information on similar applications that can be used in the migration destination communication terminal 102 corresponding to each migration source application is transmitted to the migration destination communication terminal 102. . The similar application information includes a recommendation result of one or more similar applications. The recommendation result is scored in consideration of factors including the degree of similarity with the migration source application, the number of users of the similar application, and user evaluation, and is output according to a predetermined rule. Detailed procedures will be described later.

  With the above configuration, the application recommendation device 106 can recommend similar applications that can be used in the transfer destination communication terminal 102 in accordance with the usage status of the user in the transfer source communication terminal 100.

  Note that the migration source communication terminal 100 may be disconnected from the network 104 after transmitting the migration source application information 108 to the application recommendation device 106. The communication terminal 100 may be a smartphone with a different OS.

(2. Hardware configuration)
FIG. 2 shows an example of the hardware configuration of the application recommendation device 200 according to an embodiment of the present invention. The application recommendation device 200 includes a CPU 202, ROM 204, RAM 206, HDD 208, network controller 210, communication device 212, graphics controller 214, display device 216, input controller 218, and input device 220, and corresponds to the migration source application. Outputs recommendation results for similar applications that can be used at the destination.

  The CPU 202 controls the operation of the application recommendation device 200 and an application recommendation program (not shown) according to an embodiment of the present invention. The ROM 204 stores an application recommendation program executed by the CPU 202, other programs, necessary data, and the like. The RAM 204 constitutes a work area for the CPU 204. The HDD 208 is used to store programs and drivers necessary for the operation of the application recommendation apparatus 200 and data received from other communication terminals in addition to the application recommendation program. The network controller 210 performs communication control for communicating with a communication terminal connected to the network via the communication device 212. The graphics controller 214 performs control for providing an operation screen and information to the user via a display device 216 including a liquid crystal display and a CRT display. The input controller 218 controls signals input from the user via the input device 220 including a mouse, a keyboard, and a touch panel. The bus 222 connects the above elements to each other and exchanges data.

  With the above configuration, the application recommendation device 200 according to an embodiment of the present invention can output a recommendation result of a similar application that can be used at the migration destination corresponding to the migration source application.

  The HDD 208 may be an SSD (Solid State Drive), a flash memory, a magnetic tape drive, or the like.

(3. Function)
FIG. 3 is a functional block diagram of the application recommendation device 200 according to an embodiment of the present invention.

  The application recommendation device 200 includes a communication unit 310 for exchanging application information with external devices including the communication terminals 100 and 102, a migration source application information storage unit 320 for storing the migration source application information 108, and an application to be migrated. From the type determination unit 330 that determines the type, the migration destination application information storage unit 340 that stores the available application information 110 that is a recommendation candidate, the migration destination application information acquisition unit 350 that acquires the application information that is a recommendation candidate, and the recommendation candidate application It includes a score acquisition unit 360 that acquires a score used to specify a recommended application, and a recommended application output unit 370 that outputs a list of similar applications recommended to the user. Based on the usage status of the user of the application on the terminal, it makes recommendations available similar applications in the communication terminal 102 of the migration destination.

  The communication unit 310 receives from the migration source communication terminal 100 the migration source application information 108 including the application usage history and the number of applications included in each category of the application. The application usage history includes the number of activations of the application in a predetermined period in the migration source information terminal 100. The received migration source application information 108 is stored in the migration source application information storage unit 320. In addition, the communication unit 310 transmits the recommendation result output from the recommended application output unit 370 to the communication terminal 102 at the transfer destination.

  The migration source application information storage unit 320 stores the application usage history received through the communication unit 310 in the application usage history information 322 and the application category information 324 indicating the number of applications included in each category of the application. These pieces of information are used for type determination by the type determination unit 330.

  The type determination unit 330 classifies the migration source application 108 based on the migration source application information 108 received from the migration source communication terminal 100. The type classification method will be described later. When the migration source application is typed, recommended similar applications are determined based on different rules for each type.

  The transfer destination application information acquisition unit 340 acquires information of all applications that can be used as candidates for recommendation and can be used in the transfer destination communication terminal 102. This information is generally acquired from an external server that provides an application that can be used by the destination communication terminal 102 via the network. The application information is stored in the migration destination application information storage unit 350.

  The migration destination application information storage unit 350 stores migration destination application information 352 that can be recommended candidates acquired by the migration destination application information acquisition unit 340. The migration destination application information 352 includes the number of users and user evaluation in addition to the application name and description. These elements are used by the score acquisition unit 360 to calculate scores for ranking similar applications recommended to the user. A method for calculating the score will be described later.

  The score acquisition unit 360 includes a similarity acquisition unit 362 that acquires the similarity of an application that is a recommendation candidate with respect to a migration source application, a user number acquisition unit 364 that acquires the number of users of the recommendation candidate application, and a recommendation candidate application. An evaluation value acquisition unit 366 that acquires the evaluation value of the user is provided, and the score of the recommendation candidate application is calculated. Here, different weighting is performed depending on the type of the transfer source application determined by the type determination unit 330. A detailed calculation method will be described later. The score obtained here is used by the recommended application output unit 370 to output the recommended application.

  The recommended application output unit 370 outputs one or more similar applications as recommendation results for each transfer source application based on the score acquired by the score acquisition unit 360. At this time, the number of recommendation results varies depending on the type of application at the migration source. A method for determining the number will be described later.

  As described above, the application recommendation device 200 according to an embodiment of the present invention performs type classification based on the usage status of the application at the migration source, and displays similar applications that can be used at the migration destination communication terminal 102 according to the type. By recommending, a recommendation result in accordance with the user's intention can be output.

  Note that the application usage history information 322, the application category information 324, and the migration destination application information 352 may be stored in an external device accessible via a network, and accessed via the communication unit 310 as necessary. Thereby, the application recommendation apparatus 200 can reduce the required storage area.

(4. Type classification of migration source application)
Hereinafter, with reference to FIG. 4, FIG. 5A, and FIG. FIG. 4 shows a flow of processing for performing type classification for each of the migration source applications by the application recommendation device according to the embodiment of the present invention. 5A and 5B are specific examples for explaining the type division.

  In FIG. 4, the process starts from step S400.

  Next, in step S402, the application usage history information 322 is used to obtain the application usage rate within a certain period. The usage rate indicates the ratio of the usage amount of the application to the usage amount of all the applications in a certain period. For example, the ratio of the average number of daily activations of the application to the whole can be used. The certain period is an appropriate period such as one week or one month, and the length is not particularly limited. This will be specifically described below with reference to FIG. 5A.

  FIG. 5A is a list of applications installed in a certain migration source terminal. Here, an example is shown in which the ratio of the average number of activations per day to the entire application is used as the utilization rate. FIG. 5A includes items of an application name, an average number of activations, and a usage rate. The application name is the name of an application installed in the migration source communication terminal 100. The average activation count is the average activation count per day of the application. The utilization rate is a ratio of the average number of times of application activation per day and the sum of the average number of times of activation of all applications. As an installed application, a telephone directory, a Todo list, a tennis game, and FM radio are registered. For example, if the telephone book has an average activation count of 15 per day and the sum of the average activation counts of all applications including other applications is 30, the utilization rate here is 50%.

  Returning to FIG. 4, when the utilization rate is acquired, the process proceeds to step S404.

  In step S404, it is determined whether the usage rate acquired in step S402 is equal to or greater than a predetermined threshold. If the result is equal to or greater than the threshold, the process proceeds to step S406, and the application is determined as type 1. The type 1 application indicates that the utilization rate is higher than a certain value, that is, an application used on a daily basis. Then, the process proceeds to step S416, and the process ends. On the other hand, when the acquired utilization rate is smaller than the threshold value, the process proceeds to step S408.

  In step S408, the application category information 324 is used to acquire the occupation rate of the category to which a certain application belongs. The occupation rate indicates a ratio between the number of all applications included in the migration source application information 108 and the number of applications in the category to which the application belongs. This will be specifically described below with reference to FIG. 5B.

  FIG. 5B is a list of applications installed in a certain migration source terminal. FIG. 5B includes items of an application name, a category name, the number, and an occupation rate. The application name is the name of an application installed in the migration source communication terminal 100. The category name is the name of the category to which the application belongs. The number is the number of applications belonging to the category. The application name, category name, and number are stored in the application category information 324. The occupation ratio in this example indicates the ratio of the number of applications belonging to the category to the total number of applications. For example, if a tennis game is included in the sports game category and the number of applications belonging to the sports game category is 15, and the total number of applications is 25, the occupation ratio is 60%.

  Returning to FIG. 4, when the occupation rate is acquired, the process proceeds to step S410.

  In step S410, it is determined whether or not the occupation rate acquired in step S408 is equal to or greater than a predetermined threshold. If the result is equal to or greater than the threshold value, the process proceeds to step S412 and the application is determined as type 2. The type 2 application indicates that the application rate of the application alone is not high, but there are many applications belonging to the same category, and the application is in a field in which the user is interested. Then, the process proceeds to step S416, and the process ends. On the other hand, when the acquired occupation ratio is smaller than the threshold value, the process proceeds to step S414, and the application is determined as type 3. Then, the process proceeds to step S416, and the process ends.

  As described above, for each of the applications installed in the migration source terminal, it is possible to determine whether it is type 1 that is used on a daily basis, type 2 that is a field of interest, or type 3 other than that.

  In step S402, in order to obtain the usage rate, instead of the number of times the application is started, the actual usage amount of the application by the user including the number of times the application has become the foreground, the usage time or the resident time of the application may be used. . Thereby, it is possible to classify according to the actual usage of the user.

  Further, the threshold value relating to the utilization rate or occupancy rate used in steps S404 and S410 may be a fixed value, or may be changed at any time according to the usage status of the user's communication terminal and the status of available applications. good. For example, different usage rates and occupancy rates may be applied to a heavy user who makes the most of the functions of a communication terminal on a daily basis and a light user who is rarely used. Thereby, it is possible to classify according to the actual usage of the user.

  Heretofore, the type classification process has been described for each of the applications installed in the migration source communication terminal 100. Hereinafter, a process for outputting a recommended application will be described for applications that can be used in the communication terminal 102 at the transfer destination.

(5. Calculation of similarity)
Here, a method of calculating the similarity of the application that can be used in the transfer destination communication terminal 102 to the transfer source application will be described with reference to FIGS. 6, 7A, and 7B. FIG. 6 shows a flow for determining candidate applications to be recommended for each type of application at the migration source.

  FIG. 6 starts from step S600, and in step S602, the similarity of applications that can be used at the migration destination terminal is calculated for each of the migration source applications. The application similarity is a numerical value indicating how similar the two are based on the function and characteristics of the application. For example, it is possible to extract words included in application names and explanations of applications that can be used at the migration source and the migration destination, and the ratio of the number of matching words can be used as the similarity. The name and description of the transfer source application can be defined in advance in the application recommendation device 200, or can be acquired from an external server, for example. In addition, the names and descriptions of applications that can be used at the migration destination can be acquired from, for example, the migration destination application information storage unit 350 of the application recommendation device or an external server. Hereinafter, this will be specifically described with reference to FIGS. 7A and 7B. 7A and 7B show a specific example of calculating the similarity of an application.

  FIG. 7A shows an example of a description screen of an application for a conventional mobile phone terminal, and shows the name of the migration source application and its description. The application name is the name of the application. The explanatory text is a text written to explain the function or feature of the application. On the other hand, FIG. 7B shows an example of an application explanation screen for a smartphone, and represents the name, description, user evaluation, and number of users of the transfer destination application for which the similarity is calculated. The user evaluation represents, for example, an evaluation given by a user who uses the application, and is generally given a score by a five-step evaluation. The number of users represents the number of users who use the application, and generally represents the number of downloads or the number of installations. As an example of calculating the similarity, the method based on the number of matching words described above is shown below.

  First, words (nouns) are extracted from the application name and description using conventional text analysis technology including morphological analysis. For example, it is assumed that “phone book” is extracted from the application name of the migration source in FIG. 7A. Next, from the explanatory text of the transfer source application in FIG. 7A, “name” “three” “phone number” “mail address” “record” “screen” “direct phone call” “mail transmission” “possible” “face photo” It is assumed that “registerable”, “infrared communication”, “correspondence”, “number of registrations”, and “500” are extracted. The extracted words are underlined in FIG. 7A. Words are similarly extracted from the transfer destination application name and description in FIG. 7B. The extracted word is indicated by an underline in FIG. 7B. Then, among these words extracted from the migration source application name and description, the number of words included in the migration destination application name and description is calculated. Here, “name”, “phone number”, “mail address”, “face photo”, “registrable”, “infrared communication”, “number of registered items”, and “500 items” match, and the number is eight. On the other hand, the total number of words extracted from the migration source application name and description is 16. Therefore, for example, the similarity can be set to 8/16 * 100 = 50 (%).

  Returning to FIG. 6, in step S <b> 602, for each application installed in the migration source communication terminal 100, similarity is acquired for all applications that can be used in the migration destination communication terminal 102.

  As described above, it is possible to calculate the similarity of the applications that can be used in the migration destination communication terminal 102 with respect to each of the migration source applications.

  In addition, although the similarity of an application may be calculated each time in step S602, since applications that can be used in the migration source communication terminal 100 and the migration destination communication terminal 102 are known, a typical application in advance is preliminarily described. By calculating the similarity, the amount of processing at the time of migration can be reduced.

  Similarly, the similarity may not be calculated for all applications that can be used at the migration destination, but may be calculated only for applications within a predetermined range. By doing so, the amount of processing at the time of migration can be reduced.

  Further, in order to calculate the degree of similarity in step S602, an application provider name or a developer name may be used in addition to the application name and description. Thereby, although an application name and an explanatory note do not correspond, it can respond to a similar application actually.

(6. Score calculation and recommendation for similar applications)
A processing flow for recommending a similar application that can be used at the migration destination will be described with reference to FIGS. 6, 7B, and 8A to 8D.

  When the calculation of the similarity for the application that can be used at the migration destination is completed for each of the migration source applications in step S602 of FIG. 6 by the above processing, the process proceeds to step S604.

  In step S604, based on the calculated similarity, a candidate for a similar application that can be used in the migration destination terminal is created. By this step, applications lower than the predetermined similarity are excluded, and similar applications to be subjected to score calculation described later are specified.

  Next, in step S606, the number of users of each application that is a candidate for the similar application is acquired from the migration destination application information storage unit 350. The number of users includes the number of downloads or the number of installations.

  Next, in step S608, the user evaluation of each application that is a candidate for the similar application is acquired from the migration destination application information storage unit 350. As an example of the user evaluation, there is a score given by the user as an evaluation for the application shown in FIG. 7B.

  Through the above processing, similar application candidates having values of similarity, number of users, and user evaluation are acquired for each type of migration source application.

  Here, in step S610, the similarity score, the number of users, and the user evaluation are scored for each similar application for each migration source application type, and a total score obtained by weighting is calculated as the score of the similar application. To do. This will be specifically described below with reference to FIGS. 8A to 8D.

  FIG. 8A shows an example of the scored similarity, the number of users, the user evaluation weight, and the number of recommended similar applications for each type of application at the migration source. FIG. 8A includes items of type, similarity, number of users, user evaluation, and number of recommendations. The type is the type of the migration source application determined by the flow of FIG. In the item “similarity”, a weighting coefficient to be added to the score obtained by scoring the similarity of the application that can be used at the migration destination obtained in step S602 in FIG. 6 is described. In the item of the number of users, a coefficient for weighting that is added to a score obtained by scoring the number of users of similar applications that can be used at the migration destination is described. In the user evaluation item, a weighting coefficient that is integrated with respect to a score obtained by scoring user evaluations of similar applications that can be used at the migration destination is described. The number of applications to be finally recommended is described in the item of recommended number. When there are a plurality of recommended numbers, similar applications are recommended in descending order of the points calculated by the weighting in FIG. 8A.

  In the example of FIG. 8A, the weighting coefficient for type 1 is set to have a high degree of similarity because the type 1 application is used by the user on a daily basis and the usage rate is high. This is because the application needs to be expensive. On the other hand, the number of recommendations regarding Type 1 is 1 because it is unnecessary for the user even if many dissimilar applications are recommended. On the other hand, with respect to Type 2, the weighting coefficient is set high for the number of users and user evaluation. This is because the type 2 application has a low usage rate, but the number of applications belonging to the category is large, and the user is interested in the category. That is, while the degree of similarity of the application itself may be low, since the user is likely to be interested in an application that is highly interested in other users, the number of users and the weight of the user evaluation are set high. ing. The reason why the number of recommendations related to type 2 is 10 is that the applications may not be similar, but because they are fields of interest, many recommendations are in line with the user's intention. Therefore, the specific numerical values shown in FIG. 8A are not necessarily required, and other values can be used as appropriate.

  FIG. 8B is an example of a table that defines the correspondence between the degree of similarity and the score. The items in the table include the similarity calculated in step S602 in FIG. 6 and the score corresponding thereto. Similarly, FIG. 8C includes user numbers and points, and FIG. 8D includes user evaluations and points. In this case, for example, with respect to the migration source application “phone book” shown in FIGS. 5A and 7A, an example of calculating “New Phone Book for Smartphone” shown in FIG. 7B as a candidate for a similar application is shown. Is shown below.

  As described above, the degree of similarity obtained from the degree of coincidence of words is 50%, the number of users is 10000-50000 from FIG. 7B, and the user evaluation is 4 points. From 8B to 8D, they are 2.0, 1.5 and 2.0. Here, assuming that the transfer source application “phonebook” is determined as type 1 based on the examples of FIGS. 4 and 5, 2.0 * 0.6 + 1 according to the weighting example shown in FIG. 8A. 5 * 0.2 + 2.0 * 0.2 = 1.9.

  Returning to FIG. 6, when the score of each similar application for each of the migration source applications is calculated in step S610, the process proceeds to step S612.

  In step S612, for each type of transfer source application, a predetermined recommended number of recommended applications are recommended from the top of the similar applications. For example, in the example of FIG. 8A, the highest similar application is recommended for the type 1 application, and the tenth highest similar application is recommended for the type 2 application. The recommended application can be displayed on the migration destination terminal 102, for example. The upper predetermined number can be arbitrarily determined, but preferably, the number of type 1 recommended applications is set to be relatively lower than that of type 2.

  As described above, it is possible to recommend a similar application reflecting the usage habit of the application at the migration source terminal. In particular, for daily use applications that are classified as type 1, it is possible to recommend similar applications that meet the user's needs by setting a high weighting based on similarity and reducing the number of recommendations. In addition, for applications in fields of interest such as those classified as Type 2, it is possible to make recommendations according to the user's preference by recommending a large number of similar applications with a large number of users and high evaluation. .

  Note that step S604 for narrowing down candidates by excluding applications with a degree of similarity lower than the predetermined similarity may not be executed. That is, the score may be calculated for all applications that can be used at the migration destination. In this way, all applications can be evaluated without omission.

  In step S610, the degree of similarity, the number of users, and the user evaluation are used for score calculation, but only one of these may be used as an evaluation, or other equivalent indicators may be added. .

(7. Modifications)
Below, the application recommendation terminal 906 which is a modification is demonstrated.

  FIG. 9 is an outline of a communication system 9 including an application recommendation terminal 902 which is a modified example. The application recommendation terminal 902 is configured on the transfer destination communication terminal. The migration source application information 908 and the available application information 910 are generally stored in an external server 906 accessible via the network 904 or stored in the terminal 902.

  Such an application recommendation terminal 902 has the same hardware configuration and functions as those shown in FIGS. 2 and 3, and performs the same processes as those shown in FIGS. 4 and 6, thereby achieving the same effects as those of the application recommendation device 200 described above. Have That is, it is possible to recommend similar applications that can be used on the terminal reflecting the usage habits of the application on the migration source terminal.

200 Application recommendation device 310 Communication unit 320 Migration source application information storage unit 330 Type determination unit 340 Usage destination application information acquisition unit 350 Migration destination application information storage unit 360 Score acquisition unit 370 Recommended application output unit

Claims (9)

An application recommendation device that recommends an application that can be used on a second terminal that is a migration destination terminal that has a different OS from the first terminal that is the migration source,
The first application type installed in the first terminal is
Usage history of the first application;
The number of applications installed in the first terminal belonging to the category of the first application;
A type determination unit that is determined by a combination of
Utilizing the degree of similarity calculated by comparing the character string indicating the functions or features of the first application function or multiple available by the second terminal and the character string indicating a characteristic second application A score calculation unit for calculating a score for determining the order of recommendation of each of the second applications;
A recommended application output unit that determines one or more second applications having different upper limit numbers or less for each type for each type in the order of the score, and outputs information of the determined second application;
An application recommendation device. The type is
A first type in which a ratio of the number of times of use of the first application to the number of times of use of all the applications installed in the first terminal is equal to or greater than a predetermined value;
The ratio of the number of applications that do not belong to the first type and belong to the same category as the first application to the number of all applications installed in the first terminal is equal to or greater than a predetermined value. The application recommendation device according to claim 1, wherein the application recommendation device is any one of the following types and a third type that does not belong to any type. The recommended application output unit includes:
The upper limit number according to the first type is less than the upper limit number according to the second type,
The application recommendation device according to claim 2, wherein the application belonging to the third type is not recommended. The application recommendation according to any one of claims 1 to 3, wherein the score is calculated using the number of users and user evaluation of the second application in addition to the similarity. apparatus. The score is calculated by weighting differently for each type when calculating the score based on the similarity, the number of users of the second application, and user evaluation. 4. The application recommendation device according to 4. The application recommendation device according to any one of claims 1 to 5, wherein the application recommendation device is configured on a server capable of communicating with the first terminal and the second terminal. The application recommendation device according to any one of claims 1 to 5, wherein the application recommendation device is configured on the second terminal. An application recommendation method in an application recommendation device that recommends an application that can be used on a second terminal that is a migration destination terminal that has a different OS from the first terminal that is a migration source,
The first application type installed in the first terminal is
Usage history of the first application;
The number of applications installed in the first terminal belonging to the category of the first application;
A type determination stage determined by a combination of
Utilizing the degree of similarity calculated by comparing the character string indicating the functions or features of the first application function or multiple available by the second terminal and the character string indicating a characteristic second application Then, a score calculating step for calculating a score for determining the order of recommendation for each of the second applications,
A recommended application output stage for determining, for each type, one or more second applications having an upper limit number or less different for each type, and outputting information of the determined second application in the order of the points;
An application recommendation method.   The application recommendation program which makes a computer perform the application recommendation method of Claim 8.

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