JP6099467B2 - Application search server and application ranking generation method - Google Patents

Description

  The present invention relates to an application search server and an application ranking generation method for displaying an application list in application search.

  Mobile terminals using open platforms have been put on the market by telecommunications carriers and terminal manufacturers. The mobile terminal includes a smartphone.

  With an open platform, all developers are free to develop applications, and there are a huge number of different types of applications. In addition, there are many users who are attracted to smartphones that can select and use a huge number of these various types for each platform. Here, Patent Document 1 below discloses an application development method for an image forming apparatus that provides an environment in which an application can be easily developed.

JP 2012-252706 A

  Each open platform has many applications because all developers can freely develop and publish applications. Since there are an enormous number of applications, it has become difficult for users to find the applications they need. An application market, an application introduction application, an application search system, and the like have been provided in order to support searching for an application that is required or a favorite application. In these markets and services, as a function to search for applications, keyword search, application ranking for a certain period of time, application classification into categories, new application introductions, application introductions that users potentially seek from user logs Various functions and services are provided such as (recommendation), introduction of an application similar to an application being browsed or used, and introduction of an application that a service provider should pay attention to every fixed period.

  When a user other than a user who is looking for a specific application searches for an application, the user can grasp trends and trends of other users by using the application ranking function among the above functions. However, since this ranking function provides information limited to each platform, it does not consider elements related to the same application on different platforms or applications that exist only on each platform. This trend is not reflected.

  Therefore, the present invention has been made in view of such a problem, and provides an application search server and an application ranking generation method capable of providing a user with information obtained by integrating application rankings on a plurality of platforms. Objective.

To solve the above problems, application search server of the present invention is an application information about the application, the number of downloads by the user of the application, review the number by a user of the application, among the installed number of users 及 beauty the application Application information storage means for storing application information including any one or more evaluation information and specific information for specifying a platform corresponding to the application, and evaluation information included in the application information stored by the application information storage means And an application score calculation means for calculating an application score, which is an evaluation value of the application, for each platform based on the specific information and the application information. An application ranking generating means for generating an application ranking across platforms based on the application score for each platform calculated by the application score calculating means, and an output means for outputting the application ranking generated by the application ranking generating means. The application score calculation means performs weighting based on the number of users for each platform when calculating the application score for each platform .

  According to such an application search server, an application ranking across platforms can be output. In other words, information integrating application rankings on a plurality of platforms can be provided to the user. This can, for example, provide user community opportunities across different platforms, encourage users to have an image after switching to a different platform, or that applications exist only on a single platform, and the functionality of those applications. Information can be provided.

In addition, it is possible to compensate for the handicap of the evaluation value by using the number of users of each platform.

Further, in the application search server of the present invention, the application ranking generation means generates the application appearance frequency for each platform in a predetermined ranking range in the application ranking when generating the application ranking across the platforms. It is preferable to be within the appearance frequency range . By adopting such a configuration, it is possible to reduce the handicap of the evaluation value for each platform and further reduce the influence of user characteristics for each application, and generate an application ranking having a certain appearance frequency for the application for each platform.

Further, in the application search server of the present invention, the application ranking generation means is based on the application score for each platform calculated by the application score calculation means and the specific information included in the application information stored by the application information storage means. , an application ranking for each platform, it is preferable to further generate ranking application application corresponding only to the platform. With this configuration, compared to generating application rankings for each platform, it is possible to prevent duplication of applications compatible with multiple platforms, and the user can immediately determine which platform is compatible with the application. it can.
The application search server of the present invention is application information related to an application, and includes the number of downloads by the user of the application, the number of reviews by the user of the application, the evaluation value by the user of the application, and the number of installed users of the application. Included in the application information stored in the application information storage means and the application information storage means for storing the application information including at least one of the evaluation information and the specific information for specifying the platform corresponding to the application. Based on the evaluation information and specific information, the application score that is the application evaluation value for each platform is calculated. Based on the application score for each platform calculated by the application calculating unit, the application ranking generating unit that generates an application ranking across platforms, and the application ranking generated by the application ranking generating unit is output. Output means, and the application ranking generating means generates an application frequency for each platform in a predetermined ranking range in the application ranking when generating the application ranking across the platforms. Within range.
Further, in the application search server of the present invention, the application ranking generation means is based on the application score for each platform calculated by the application score calculation means and the specific information included in the application information stored by the application information storage means. It is preferable to further generate an application ranking for each platform, which is an application ranking corresponding to only the platform.
The application search server of the present invention is application information related to an application, and includes the number of downloads by the user of the application, the number of reviews by the user of the application, the evaluation value by the user of the application, and the number of installed users of the application. Included in the application information stored in the application information storage means and the application information storage means for storing the application information including at least one of the evaluation information and the specific information for specifying the platform corresponding to the application. Based on the evaluation information and specific information, the application score that is the application evaluation value for each platform is calculated. Based on the application score for each platform calculated by the application calculating unit, the application ranking generating unit that generates an application ranking across platforms, and the application ranking generated by the application ranking generating unit is output. Output ranking means, the application ranking generation means for each platform based on the application score for each platform calculated by the application score calculation means and the specific information included in the application information stored by the application information storage means Application ranking that is compatible with the platform only. In addition to generating the application ranking.

  By the way, the present invention can be described as the invention of the apparatus as described above, and also as the invention of the method as follows. This is substantially the same invention only in different categories, and has the same operations and effects.

That is, the application ranking generating method according to the present invention is an application information about the application, the number of downloads by the user of the application, review the number by a user of the application, any one of the installed number of users 及 beauty the application one An application ranking generation method executed by an application search server having application information storage means for storing application information including one or more evaluation information and specific information for specifying a platform to which the application corresponds, and storing application information Based on the evaluation information and the specific information included in the application information stored by the means, the application evaluation value In an application score calculating step for calculating a platform score for each platform, an application ranking generating step for generating an application ranking across platforms based on the application score for each platform calculated in the application score calculating step, and an application ranking generating step an output step of outputting a generated application ranking, only including, an application score calculating step, when calculating the application scores for each platform, performs weighting based on the number of available users per platform.
Further, the application ranking generation method according to the present invention is application information related to an application, the number of downloads by the user of the application, the number of reviews by the user of the application, the evaluation value by the user of the application, and the application already installed Application ranking generation method executed by an application search server including application information storage means for storing application information including one or more evaluation information of the number of users and specific information for specifying a platform to which the application corresponds And based on the evaluation information and the specific information included in the application information stored by the application information storage means An application score calculation step for calculating an application score as an application evaluation value for each platform, and an application ranking generation step for generating an application ranking across platforms based on the application score for each platform calculated in the application score calculation step And an output step for outputting the application ranking generated in the application ranking generation step. The application ranking generation step includes a platform in a predetermined ranking range of the application ranking when generating the application ranking across the platforms. Appearance frequency of each application To within a predetermined frequency range of each platform.
Further, the application ranking generation method according to the present invention is application information related to an application, the number of downloads by the user of the application, the number of reviews by the user of the application, the evaluation value by the user of the application, and the application already installed Application ranking generation method executed by an application search server including application information storage means for storing application information including one or more evaluation information of the number of users and specific information for specifying a platform to which the application corresponds And based on the evaluation information and the specific information included in the application information stored by the application information storage means An application score calculation step for calculating an application score as an application evaluation value for each platform, and an application ranking generation step for generating an application ranking across platforms based on the application score for each platform calculated in the application score calculation step And an output step for outputting the application ranking generated in the application ranking generation step. The application ranking generation step is stored by the application score for each platform calculated in the application score calculation step and the application information storage means. Specified in the application information Based on the distribution, an application ranking for each platform, further generates a ranking application application corresponding only to the platform.

  ADVANTAGE OF THE INVENTION According to this invention, the information which integrated the application ranking on a some platform can be provided to a user.

It is a figure which shows one Example of the radio | wireless communications system containing a search server. It is a functional block diagram which shows one Example of a portable terminal. It is a hardware block diagram which shows one Example of a portable terminal and an application search server. It is a functional block diagram which shows one Example of an application search server. It is a figure which shows one Example of an application information table. It is a figure which shows another Example of an application information table. It is a figure which shows the handicap based on the number of users for every platform. It is a graph which shows the relationship between the appearance rank of the application in an application ranking, and an application score. It is a figure which shows the example which adjusts the appearance frequency of the application for every platform in an application ranking. It is a figure which shows an example of an application ranking. It is a flowchart which shows one Example of the process (application ranking production | generation method) performed with an application search server.

  Hereinafter, preferred embodiments of an application search server and an application ranking generation method according to the present invention will be described in detail with reference to the drawings. In the description of the drawings, the same elements are denoted by the same reference numerals, and redundant description is omitted.

<Wireless communication system>
First, an embodiment of the wireless communication system 1 as an operating environment of the application search server 200 (hereinafter referred to as “search server 200”) will be described.

  FIG. 1 shows an embodiment of a wireless communication system 1 as an operating environment of a search server 200. As shown in FIG. 1, the wireless communication system 1 includes a mobile terminal 100, a search server 200, and a communication network 50. The mobile terminal 100 is a smartphone or the like used by a user. The search server 200 is a general computer device such as a server device that searches for an application posted to a user. The communication network 50 is the Internet, a mobile communication network, or the like.

  The mobile terminal 100 and the search server 200 are connected to each other via a communication network 50. The mobile terminal 100 accesses the search server 200 via the communication network 50. For example, the mobile terminal 100 may connect to an access point (not shown) and access the search server 200 connected to the communication network 50 to which the access point is connected. Further, for example, the mobile terminal 100 may connect to a base station (not shown) and access the search server 200 connected to the communication network 50 to which the base station is connected.

  An overall processing flow in the wireless communication system 1 will be described. First, the mobile terminal 100 transmits an application ranking request to the search server 200. Next, the search server 200 transmits the application ranking to the portable terminal 100 as a response. Finally, the mobile terminal 100 displays the received application ranking.

  Here, the application ranking request is instruction information for requesting the search server 200 for application ranking. The application ranking request includes a platform type that is a corresponding platform of the application, the number of displayed applications, and a desired calculation period of the application ranking. The application ranking request may include only a part of these pieces of information, or may include other information.

  The application ranking is information obtained by ranking applications based on an application score (score) that is an evaluation value of the application. The application ranking includes an application name, application developer information, an evaluation value for the application, an application description, an application download count, application icon information, an application installed user count, and an application ranking. The application ranking may include only a part of these pieces of information, or may include other information.

<Mobile device>
Next, the mobile terminal 100 will be described.

  FIG. 2 is a functional block diagram of the mobile terminal 100. As illustrated in FIG. 2, the mobile terminal 100 includes an application ranking request unit 102, a control unit 104, a transmission / reception unit 106, and a display unit 108.

  The portable terminal 100 is configured by hardware such as a CPU. FIG. 3 is a diagram illustrating an example of a hardware configuration of the mobile terminal 100. As shown in FIG. 3, the portable terminal 100 shown in FIG. 2 physically includes a CPU 300, a RAM 301 and a ROM 302, which are main storage devices, an input / output device 303 such as a display, a communication module 304, and an auxiliary storage device 305. It is configured as a computer system including the above.

  The function of each functional block of the portable terminal 100 shown in FIG. 2 is the function of the input / output device 303 under the control of the CPU 300 by loading predetermined computer software on the hardware such as the CPU 300 and the RAM 301 shown in FIG. This is realized by operating the communication module 304 and the auxiliary storage device 305 and reading and writing data in the RAM 301.

  Hereinafter, each functional block of the mobile terminal 100 illustrated in FIG. 2 will be described.

  The application ranking request unit 102 generates an application ranking request based on a user instruction or the like, and outputs it to the control unit 104.

  The control unit 104 performs control for receiving an application ranking request and control for transmitting the application ranking request to the search server 200 in order to receive the application ranking from the search server 200. Further, the control unit 104 performs control for displaying an application list on the display unit 108 when the application ranking is received from the search server 200.

  Specifically, the control unit 104 outputs the application ranking request input from the application ranking request unit 102 to the transmission / reception unit 106. In addition, the control unit 104 outputs the application ranking input from the transmission / reception unit 106 to the display unit 108.

  The transmission / reception unit 106 transmits the application ranking request input from the control unit 104 to the search server 200. In addition, the transmission / reception unit 106 receives the application ranking from the search server 200 and outputs it to the control unit 104.

  The display unit 108 displays all or a part of the application ranking input from the control unit 104.

<Search server>
Next, the search server 200 will be described.

  FIG. 4 is a functional block diagram of the search server 200. As shown in FIG. 4, the search server 200 includes a reception unit 202, an application information storage unit 204 (application information storage unit), an application score calculation unit 206 (application score calculation unit), and an application ranking generation unit 208 (application ranking generation unit). , An application ranking storage unit 210 and a transmission unit 212 (output means).

  The search server 200 is configured by the hardware shown in FIG. 3 as with the mobile terminal 100, and the functions of the functional blocks of the search server 200 shown in FIG. Realized on hardware.

  Hereinafter, each functional block of the search server 200 illustrated in FIG. 4 will be described.

  The receiving unit 202 receives an application ranking request from the mobile terminal 100 and outputs the application ranking request to the application score calculating unit 206, the application ranking generating unit 208, and the transmitting unit 212.

  The application information storage unit 204 is application information regarding an application, and includes the number of downloads by the user of the application, the number of reviews by the user of the application, the evaluation value (user evaluation value) by the user of the application, and the application already installed Application information including at least one piece of evaluation information among the number of users and specific information for specifying a platform corresponding to the application is stored.

  Application information includes application name, application ID that identifies the application, application description, application image, application price, application supported platform, application review, date and time the review was posted, and the application. Category information and application developer information. Further, the application information may include only a part of the information described above, or may include other information.

  FIG. 5 shows an example table of application information. The example table of application information shown in FIG. 5 stores application ID, application name, application description, application platform, application download count, category information to which the application belongs, and developer information. . The table example shown in FIG. 5 is an example, and other information may be stored, or a part of the information may be deleted.

  FIG. 6 shows another example table of application information. The application information table shown in FIG. 6 stores an application ID, an application name, an application description in each platform, the number of downloads in each platform, category information to which the application belongs, and developer information. ing. As in the example of the table shown in FIG. 6, information for each platform may be included individually. The table example illustrated in FIG. 6 is an example, and other information may be stored, or a part of the information may be deleted.

  The application score calculation unit 206 calculates an application score, which is an evaluation value of the application, for each platform based on the evaluation information and the specific information included in the application information stored by the application information storage unit 204. The application score calculation unit 206 may perform weighting based on the number of users used for each platform when calculating the application score for each platform.

  Further, the application score calculation unit 206 may calculate the application scores for each platform in descending order of application scores. Further, the application score calculation unit 206 may score and calculate an application on each platform from an arbitrary viewpoint, and if the same application exists on different platforms, the score may be adjusted for each platform as necessary. Further, the application score calculation unit 206 may output an arbitrary number of higher-level application lists to the application ranking generation unit 208 based on the calculated application score.

  A specific calculation method by the application score calculation unit 206 will be described later.

  The application ranking generation unit 208 generates an application ranking across platforms based on the application score for each platform calculated by the application score calculation unit 206. The application ranking generation unit 208 may adjust the appearance frequency of the application for each platform in the application ranking when generating the application ranking across the platforms. In addition, the application ranking generation unit 208 generates an application for each platform based on the application score for each platform calculated by the application score calculation unit 206 and the specific information included in the application information stored by the application information storage unit 204. An application ranking including an application corresponding to only the platform may be further generated.

  In addition, the application ranking generation unit 208 acquires application information corresponding to each application from the application information storage unit 204 for the application score for each platform calculated by the application score calculation unit 206, and generates application ranking or application ranking. In addition to the application ranking stored in the storage unit 210, the application ranking may be completed.

  A specific calculation method by the application ranking generation unit 208 will be described later.

  Note that the application score calculation unit 206 and the application ranking generation unit 208 may be integrated instead of individual. In other words, the processing performed by the application score calculation unit 206 and the processing performed by the application ranking generation unit 208 may be performed by one functional block.

  The application ranking storage unit 210 stores the application ranking generated by the application ranking generation unit 208.

  The transmission unit 212 outputs the application ranking generated by the application ranking generation unit 208. Specifically, the transmission unit 212 acquires the application ranking corresponding to the application ranking request from the application ranking storage unit 210 and transmits it to the mobile terminal 100 that has transmitted the application ranking request.

<Application score calculation example>
Next, an application score calculation example by the application score calculation unit 206 will be described.

  As the simplest example of the application score calculation method, an application score calculation method for an application corresponding to a plurality of platforms will be described. The application score calculation unit 206 uses the value of the corresponding platform among the application information stored in the application information storage unit 204, sets the number of downloads in an arbitrary period for each platform as an application score, and uses a certain OS (Operating) System) (hereinafter referred to as “A”) and the application score of the other OS (hereinafter referred to as “B”), and the user frequently uses the sum of “A” and “B. The application is determined to be an application that is used by the user A and is not used by the user B, and only the user A is aware of the appeal of the application.

  Since the number of downloads in the above example is an example, among the application information stored in the application information storage unit 204, the number of reviews in an arbitrary period and the average of user evaluation values in an arbitrary period may be calculated. . In addition, the application score calculation unit 206 may acquire the current date and time, and may weight the number of downloads, the number of reviews, the user evaluation value, and the like on a near date. By increasing the weight of the number of reviews on the day close to the present time, the change in application score (application ranking) increases, and it becomes possible to increase opportunities for introducing new applications to the user.

  In order to adjust the application ranking, an application score may be calculated from a plurality of viewpoints and the above values may be adjusted comprehensively. As a specific example, in the case of an application with 30 downloads in an arbitrary period and 10 applications, if an application is scored only from the viewpoint of the download count, the application with the download count of 30 is the application ranking. If the user evaluation value of the application with 30 downloads is 1 point and the user evaluation value of the application with 10 downloads is 5 points, the application with 10 downloads is displayed. May be adjusted for each viewpoint of the calculated score so that it is easy to be displayed at the top of the application ranking.

  The application score calculation unit 206 may calculate the application score using the number of reviews, the number of downloads, and the number of installed users in an arbitrary period, weighting each user number for each platform. As a specific example, when the total number of users in the former is 30,000 and the total number of users in the second party is 10,000, the score of the second application is tripled to calculate the application score. This method makes it possible to supplement the handicap of the number of reviews, the number of downloads, and the number of installed users according to the number of users for each platform.

  FIG. 7 is a diagram illustrating a handicap based on the number of users for each platform. FIG. 7A is an application ranking based on the application score of the former application, FIG. 7B is an application ranking based on the application score of the second application, and FIG. 7C is FIG. 7A. And application rankings integrated with the application rankings shown in FIG. The number of users of Party A is larger than the number of users of Party B, and accordingly, the application score of Party A is generally higher than that of Party B. Therefore, when the application ranking is integrated, if the application score in each platform is not weighted, the number of applications A for the applications that appear in the application ranking as in the integrated application ranking of FIG. It becomes easy to go up, and there are many, and a handicap arises. That is, if the score of each OS is adopted as it is, the appearance frequency is biased.

  FIG. 8 is a graph showing the relationship between the application appearance rank and the application score in the application ranking. In the graph shown in FIG. 8, the horizontal axis indicates the application appearance order, and the vertical axis indicates the application score. In the graph shown in FIG. 8, the graphs of A and B are shown, and the average of each is also shown. The application score calculation unit 206 performs weighting to absorb the influence due to the total number of users of the user A and the user B in order to compensate for the handicap. Specifically, in FIG. 8, weighting is performed so that the average of B is aligned with the average of A by applying the average weighting factor to the application score of the B application.

  In the above example, two different platforms have been described. However, in three or more different platforms, the application score calculation unit 206 can create a ranking by performing the same weighting adjustment.

  Further, the application score calculation unit 206 may calculate a deviation value of the calculated application score to obtain a new application score. By this method, it is possible to absorb the influence of user characteristics for each application, such as an example where the temporary excitement is extreme, or an example where the application score is biased toward higher-level applications.

<Application ranking generation example>
Next, an example of application ranking generation by the application ranking generation unit 208 will be described.

  The application ranking generation unit 208 may adjust the appearance frequency in the application ranking for each platform when generating the application ranking. As a specific example, between the 1st and 5th application rankings, 3 applications and 2 B applications are inserted from the top of the application score, respectively, and between 6th and 10th, and thereafter Can be inserted into the application ranking at the same frequency. By this method, the number of users and reviews for each platform, the number of downloads, the handicap of the number of installed users, and the influence of user characteristics for each application can be reduced and displayed on the mobile terminal 100 at a certain appearance rate. It becomes.

  FIG. 9 is a diagram illustrating an example of adjusting the appearance frequency of the application for each platform in the application ranking. In the example shown in FIG. 9, the set frame size and the ratio in the frame are repeated by rotation. Specifically, FIG. 9 (a) is an example in which the appearance frequency of A is set to 50% for two or more frames in order, and FIG. 9 (b) is an appearance frequency of 33A for three or more frames in order. FIG. 9C shows an example in which the appearance frequency of the former is set to 25% to 75% for the four frames above the order. The same applies to five or more frames. Thus, by providing the appearance frames of the respective OSs and causing them to appear at a certain frequency, they can appear in a balanced manner.

  The application ranking generation unit 208 may generate an application ranking by limiting applications corresponding to each platform. As a specific example, the application ranking is calculated by classifying the application ranking corresponding to both A and B, the application ranking corresponding to only B, and the application corresponding to B only. That is, the application ranking generation unit 208 generates an application ranking that integrates application rankings of the same application existing on each platform, and an application ranking of an application that exists only on each platform. This method can prevent duplication of application information corresponding to multiple platforms compared to generating application ranking for each platform, and allows the user to immediately determine which platform the application is compatible with. It becomes.

  FIG. 10 is a diagram illustrating an example of application ranking generated by the application ranking generation unit 208. FIG. 10 (a) shows application rankings calculated for applications corresponding only to both A and B, and FIG. 10 (b) shows application rankings calculated for applications corresponding only to A and FIG. 10 (c). Indicates an application ranking obtained by calculating an application corresponding to only B.

<Application ranking generation method>
Next, processing of a method (application ranking generation method between different platforms) in the search server 200 according to the present embodiment will be described using a sequence diagram shown in FIG.

  First, in the mobile terminal 100, the application ranking request unit 102 generates an application ranking request, and the transmission / reception unit 106 transmits the generated application ranking request to the search server 200 (step S1).

  Next, in the search server 200, the receiving unit 202 receives the application ranking request transmitted in S1 (step S2). Next, the application score calculation unit 206 calculates an application score for each platform (step S3, application score calculation step). Next, the application ranking generation unit 208 generates an application ranking across platforms based on the application score calculated in S3 (step S4, application ranking generation step). Next, the application ranking generated in S4 is transmitted to the portable terminal 100 by the transmission unit 212 (step S5, output step).

  Next, in portable terminal 100, application ranking transmitted in S5 is received by transmission / reception unit 106 (step S6). Next, the application ranking received in S6 is displayed on the display unit.

<Effect>
Next, the operation and effect of the search server 200 configured as in the present embodiment will be described.

  According to the search server 200 of the present embodiment, application rankings across platforms can be output. In other words, information integrating application rankings on a plurality of platforms can be provided to the user. This can, for example, provide user community opportunities across different platforms, encourage users to have an image after switching to a different platform, or that applications exist only on a single platform, and the functionality of those applications. Information can be provided.

  Further, according to the search server 200 of the present embodiment, the application score calculation unit 206 performs weighting based on the number of users used for each platform when calculating the application score for each platform. Thereby, the handicap of the evaluation value by the number of users used for every platform can be supplemented.

  Further, according to the search server 200 of the present embodiment, the application ranking generation unit 208 adjusts the appearance frequency of the application for each platform in the application ranking when generating the application ranking across the platforms. As a result, the handicap of the evaluation value for each platform and the influence of the user characteristics for each application can be reduced, and the application ranking having a certain appearance frequency can be generated for the application for each platform.

  Further, according to the search server 200 of the present embodiment, the application ranking generation unit 208 is included in the application score for each platform calculated by the application score calculation unit 206 and the application information stored by the application information storage unit 204. Based on the specific information, an application ranking for each platform, which includes an application corresponding to only the platform, is further generated. Thereby, compared with generating the application ranking for each platform, it is possible to prevent duplication of applications corresponding to a plurality of platforms, and the user can immediately determine which platform corresponds to the application.

  This application search server can be applied to a new platform to be used in the future. Moreover, it can be applied not only to platforms but also to ranking creation in merchandise sales. As a specific example, when a person who sells books, songs, and videos creates a sales ranking, various methods such as weighting used to calculate the application score of this search server can be used, so that different products It is possible to create a sales ranking at.

  DESCRIPTION OF SYMBOLS 1 ... Wireless communication system, 50 ... Communication network, 100 ... Portable terminal, 102 ... Application ranking request part, 104 ... Control part, 106 ... Transmission / reception part, 108 ... Display part, 200 ... Search server, 202 ... Reception part, 204 ... Application information storage unit 206... Application score calculation unit 208... Application ranking generation unit 210... Application ranking storage unit 212.

Claims (9)

An application information about the application, the number of downloads by the user of the application, review the number by a user of the application, and 及 beauty the application installed number of users one or more of evaluation information out of, is the application corresponding Application information storage means for storing application information including specific information for identifying a platform;
Application score calculation means for calculating an application score, which is an evaluation value of an application, for each platform based on evaluation information and specific information included in application information stored by the application information storage means;
Based on the application score for each platform calculated by the application score calculating means, application ranking generating means for generating an application ranking across platforms;
Output means for outputting the application ranking generated by the application ranking generation means;
Equipped with a,
The application score calculation means performs weighting based on the number of users for each platform when calculating the application score for each platform.
Application search server. The application ranking generation means, when generating the application ranking across the platforms, the appearance frequency of the application for each platform in the predetermined ranking range of the application ranking is within a predetermined appearance frequency range for the platform The application search server according to claim 1 . The application ranking generation unit is configured to perform application ranking for each platform based on the application score for each platform calculated by the application score calculation unit and the specific information included in the application information stored by the application information storage unit. there, the application search server according to claim 1 or 2 further generates a ranking application application corresponding only to the platform, characterized in that. Application information related to the application, which is at least one of the number of downloads by the user of the application, the number of reviews by the user of the application, the evaluation value by the user of the application, and the number of installed users of the application And application information storage means for storing application information including specific information for specifying the platform to which the application corresponds,
Application score calculation means for calculating an application score, which is an evaluation value of an application, for each platform based on evaluation information and specific information included in application information stored by the application information storage means;
Based on the application score for each platform calculated by the application score calculating means, application ranking generating means for generating an application ranking across platforms;
Output means for outputting the application ranking generated by the application ranking generation means;
Equipped with a,
When generating the application ranking across the platforms, the application ranking generation means sets the application frequency for each platform in a predetermined ranking range in the application ranking to be within the predetermined frequency range for each platform.
Application search server. The application ranking generation unit is configured to perform application ranking for each platform based on the application score for each platform calculated by the application score calculation unit and the specific information included in the application information stored by the application information storage unit. there, the application search server of claim 4, further generates a ranking application application corresponding only to the platform, it is characterized. Application information related to the application, which is at least one of the number of downloads by the user of the application, the number of reviews by the user of the application, the evaluation value by the user of the application, and the number of installed users of the application And application information storage means for storing application information including specific information for specifying the platform to which the application corresponds,
Application score calculation means for calculating an application score, which is an evaluation value of an application, for each platform based on evaluation information and specific information included in application information stored by the application information storage means;
Based on the application score for each platform calculated by the application score calculating means, application ranking generating means for generating an application ranking across platforms;
Output means for outputting the application ranking generated by the application ranking generation means;
Equipped with a,
The application ranking generation unit is configured to perform application ranking for each platform based on the application score for each platform calculated by the application score calculation unit and the specific information included in the application information stored by the application information storage unit. And further generate an application ranking for applications that only support the platform,
Application search server. An application information about the application, the number of downloads by the user of the application, review the number by a user of the application, and 及 beauty the application installed number of users one or more of evaluation information out of, is the application corresponding An application ranking generation method executed by an application search server comprising application information storage means for storing application information including specific information for specifying a platform,
An application score calculating step for calculating an application score, which is an evaluation value of the application, for each platform based on the evaluation information and the specific information included in the application information stored by the application information storage unit;
Based on the application score for each platform calculated in the application score calculation step, an application ranking generation step for generating an application ranking across platforms,
An output step for outputting the application ranking generated in the application ranking generation step;
Only including,
The application score calculation step performs weighting based on the number of users for each platform when calculating the application score for each platform.
Application ranking generation method. Application information related to the application, which is at least one of the number of downloads by the user of the application, the number of reviews by the user of the application, the evaluation value by the user of the application, and the number of installed users of the application And an application ranking generation method executed by an application search server comprising application information storage means for storing application information including specific information for specifying a platform to which the application corresponds,
An application score calculating step for calculating an application score, which is an evaluation value of the application, for each platform based on the evaluation information and the specific information included in the application information stored by the application information storage unit;
Based on the application score for each platform calculated in the application score calculation step, an application ranking generation step for generating an application ranking across platforms,
An output step for outputting the application ranking generated in the application ranking generation step;
Only including,
In the application ranking generation step, when generating an application ranking across platforms, an application frequency for each platform in a predetermined ranking range in the application ranking is set within a predetermined appearance frequency range for each platform.
Application ranking generation method. Application information related to the application, which is at least one of the number of downloads by the user of the application, the number of reviews by the user of the application, the evaluation value by the user of the application, and the number of installed users of the application And an application ranking generation method executed by an application search server comprising application information storage means for storing application information including specific information for specifying a platform to which the application corresponds,
An application score calculating step for calculating an application score, which is an evaluation value of the application, for each platform based on the evaluation information and the specific information included in the application information stored by the application information storage unit;
Based on the application score for each platform calculated in the application score calculation step, an application ranking generation step for generating an application ranking across platforms,
An output step for outputting the application ranking generated in the application ranking generation step;
Only including,
The application ranking generation step is an application ranking for each platform based on the application score for each platform calculated in the application score calculation step and the specific information included in the application information stored by the application information storage means. And further generate an application ranking for applications that only support the platform,
Application ranking generation method.

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