JP5789481B2 - Application development support apparatus and application development support method - Google Patents

Description

  The present invention relates to an application development support apparatus and an application development support method that support development of an application program.

  In recent years, a desired application program is downloaded via a communication network using a mobile terminal device such as a mobile phone or a smartphone, and the application program is activated to use the terminal device for an intended purpose such as product search or content search. The use method of doing is spreading. Application programs generally include paid application programs and free application programs. For example, Patent Document 1 proposes to link a paid application program with an advertisement.

JP 2004-320095 A

  The application program provider can collect a fee by charging the user when the user downloads the paid application program. As a result, the application program provider can use the collected fee for application development costs and the like.

  Free application programs do not charge users for downloading. A free application program provider can collect charges in the following manner in addition to charging the user at the time of download. For example, there are a fee collection method by in-app billing that charges the user for contents and items that can be used when the application program is activated, and an advertisement fee collection method that displays an advertisement when the application program is used.

  However, an application program that is not intended to provide content or items cannot adopt a fee collection method based on in-up charging. When the advertising fee collection method is adopted, the user's preference for the application program to be provided may not always match the preference of the advertisement content. This makes it difficult to collect advertising fees, and it takes time until the application program is used by many users and monetization is possible. It can be a situation where it is necessary to give up continuation of development to improve application programs.

  On the other hand, from the viewpoint of an application program investor who invests development costs from the beginning of application program provision, there is a desire to invest in an application program provider that can develop excellent application programs. In addition, there is a demand to invest in an application program provider that can develop an application program that matches the intention of investment, such as a user who uses an application program is a user who uses a product that the application program investor wants to promote. . For example, a collection electronic book operator invests in an application program related to an electronic book and the user of the application program wants to promote its service, or an accessory sales company invests in an apparel related application program, A situation in which the user of the application program wants to promote a product such as an accessory can be considered.

  The present invention has been made in view of the above-described problems, and the investor appropriately invests in the development of the application program and the developer (provider) appropriately develops the application program. An object of the present invention is to provide an application development support apparatus and an application development support method that can be enabled.

  In order to achieve the above object, the application development support apparatus according to the present invention includes an asset data database that stores asset information indicating an asset and metadata related to the asset in association with each other, and an investor intends to invest. The investment information input means for inputting the investment intention information to be shown, and the investment intention information input by the investment information input means and the metadata stored in the asset data database are compared to identify an asset that matches the investment intention. Asset identification means, usage history input means for inputting usage history in which information for identifying an application program executed in one or more terminals and asset information used by the application program are associated, and usage history input Of the usage history entered by the means Score calculating means for calculating a score for the investment intention for each application program based on the usage history relating to the asset specified by the game specifying means, and output means for outputting information corresponding to the score calculated by the score calculating means And comprising.

  In the application development support apparatus according to the present invention, the score for the investment intention is calculated for each application program based on the use history related to the asset specified based on the investment intention of the investor. By referring to the information according to the score, the investment from the investor can be appropriately distributed to the application program developers according to the intention of investment. That is, according to the application development support apparatus according to the present invention, it becomes possible for the investor to appropriately invest in the development of the application program and for the developer to appropriately develop the application program. As a result, by obtaining an appropriate investment effect, it becomes possible to promote investment in the development of the application program, and also to promote the development of the application program itself.

  The usage history input means inputs information indicating a usage pattern of asset information by the application program, and the score calculation means calculates a score based also on the information indicating the usage pattern input by the usage history input means, It is good. According to this configuration, for example, the score can be calculated more appropriately in consideration of cooperation between application programs such that the use of asset information by an application program is performed by an instruction of another application program.

  The investment information input means inputs a feature word and information indicating the weight for each feature word as investment intention information, and the asset identification means includes the feature word input by the investment information input means in the metadata It may be determined whether or not an asset that matches the investment intention is identified from the determination and the information indicating the weight for each feature word. According to this configuration, it is possible to appropriately and reliably identify an asset that matches the investment intention, and to appropriately and reliably implement the present invention.

  The investment information input means inputs information indicating the attribute of the user who uses the terminal as investment intention information, and the usage history input means inputs the usage history including information indicating the attribute of the user of the terminal that executed the application program And a score calculation means is good also as calculating a score using the use log | history corresponding to the user's attribute shown by the information input into the investment information input means. According to this structure, a score can be calculated according to a user's attribute, for example, age and sex.

  The asset identification unit may re-identify the asset that matches the investment intention based on the usage history input by the usage history input unit. According to this configuration, the score can be calculated more appropriately according to the usage history.

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

  That is, the application development support method according to the present invention is an application development support method by an application development support apparatus including an asset data database that stores asset information indicating an asset and metadata related to the asset in association with each other. The investment intention input step for inputting investment intention information indicating the investment intention from the investor, and the investment intention information input in the investment information input step are compared with the metadata stored in the asset data database. An asset identification step for identifying a matching asset, a usage history in which information for identifying an application program executed on one or more terminals and asset information used by the application program are associated with each other. A score calculation step for calculating a score for the investment intention for each application program based on the history of the usage input related to the asset identified in the asset identification step among the usage histories input in the history of history input step; And an output step of outputting information according to the score calculated in the calculation step.

  According to the present invention, the investment from the investor can be appropriately distributed to the developer of the application program according to the intention of investment, and the investor appropriately invests in the development of the application program and the developer Application programs can be developed appropriately. As a result, by obtaining an appropriate investment effect, it becomes possible to promote investment in the development of the application program, and also to promote the development of the application program itself.

It is a figure which shows the function structure of the application development assistance apparatus which concerns on embodiment of this invention. It is a figure which shows notionally the asset in this embodiment. It is a figure (screen image) which shows notionally the utilization of the asset in this embodiment. It is a figure (screen image) which shows notionally the utilization of the asset by the application program in this embodiment. It is a table which shows the example of the information stored in an asset data database. It is a table which shows the example of the investment intention information input into the application development assistance apparatus. It is a table which shows the example of the information used for identification of the asset which agree | coincides with the investment intention, and counting of the frequency | count of utilization by the application program of asset data. It is a table which shows the example of the score with respect to the investment intention for every application program. It is a figure which shows the hardware constitutions of the application development assistance apparatus which concerns on embodiment of this invention. It is a sequence diagram which shows the process (application development support method) performed with the application development support apparatus which concerns on embodiment of this invention.

  Hereinafter, embodiments of an application development support apparatus and an application development support 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.

  FIG. 1 shows an application development support apparatus 10 according to the present embodiment. The application development support apparatus 10 is an apparatus that supports development of an application program. Specifically, the application development support apparatus 10 is an apparatus that calculates the score of an application program with respect to the investor's intention to invest in the development of the application program. This score indicates, for example, the degree of contribution of the application program to the investor's intention to invest. By using this degree of contribution, it becomes possible to appropriately allocate the investment.

  That is, according to the application development support apparatus 10 according to the present invention, it is possible to appropriately invest in application program development from the investor side. On the other hand, from the application program developer side, investment in application program development can be appropriately received. Thus, the development of the application program is promoted and activated.

  The application development support apparatus 10 according to the present embodiment realizes the above using the concept of assets. An asset is a real asset or object that can be used by a user (for example, a real product such as food, decoration, apparel, or furniture) and digital content (for example, text or image) that can be used by the user on the user terminal 20 or the like. , Music and video data). FIG. 2 shows an example of assets. As shown in FIG. 2, assets can be classified into categories such as e-books, apparel, and food. In addition, the food category can be classified into subcategories such as ingredients, cooking utensils, recipes, apps, news / blogs, and the like.

  As shown in FIG. 1, the application development support apparatus 10 according to the present embodiment can communicate via a communication network N such as a mobile communication network or the Internet. The application development support apparatus 10 is connected to one or more user terminals 20 and the application data server 30 via the communication network N, and can transmit / receive information to / from these apparatuses 20 and 30. . In addition, the application development support apparatus 10 is connected to the control terminal 40 and can transmit and receive information to and from the control terminal 40.

  The user terminal 20 is a terminal used by a user, and can execute various functions by executing an application program. In addition, the user terminal 20 can communicate via the communication network N, and can transmit and receive information between the application development support apparatus 10 and the application data server 30. Specifically, the user terminal 20 is a computer that includes a CPU (Central Processing Unit), a memory, and a communication module, such as a mobile phone, a smartphone, or a PC (Personal Computer), and can execute an application.

  In the user terminal 20, asset data that is information related to the asset can be used. The asset data is arbitrary information (data) related to the asset such as an image or name of the asset. For example, as shown in FIG. 3, asset data indicating books, electronic books, clothes, and cars can be used. The asset data is uniquely identified by asset information such as an ID indicating asset data given in advance for each asset data. In addition, as asset information, information previously given to the asset independently of the present embodiment, for example, ISBN (International Standard Book Number) (in the case of a book) may be used.

  These asset data are used by an application program executed on the user terminal 20. For example, the asset data can be displayed, the asset data can be shared between users (the asset data can be referred to or acquired by another user terminal 20), or the asset data can be analyzed. (For example, preference extraction).

  For example, if the asset is a book, the application program that uses the asset data is an application program that graphs the amount of reading, as shown in the screen image of FIG. Application programs shared with other users, application programs that recommend books to users using the user terminal 20, and the like. In addition, as an application program that uses asset data relating to food, as shown in the screen image in FIG. 4B, an application program that searches for a recipe for cooking (each recipe is an asset), and an application program that performs meal management (An individual food is an asset), an application program for recommending a restaurant to a user using the user terminal 20 (an individual store is an asset), and the like.

  In addition, as shown in Fig. 4 (b), these applications display advertisements from investors ("every weekend on the beer hall!" "Healthy snack beer hall!" ) May be displayed.

  Use of asset data by an application program in the user terminal 20 can also be performed by cooperation between a plurality of application programs. For example, from an application program for viewing news (in this case, individual news becomes an asset), in order to introduce the news of interest to another user this week, asset data related to the news is stored in SNS. It is used in an application program for (social networking service). Alternatively, in order to introduce music to another user from an application program for music search (in this case, individual music becomes an asset), asset data related to the music is used in the application program for SNS. That's it. In this way, asset data may be used by an application program that is started from another application program. Thus, the use of asset data can also be used in a curation service.

  The user terminal 20 transmits to the application development support apparatus 10 a usage history (log) in which information for specifying an application program executed in the terminal 20 is associated with asset information used by the application program. The information for specifying the application program is, for example, information such as an ID uniquely assigned in advance for specifying the application program. This transmission may be performed every time asset data is used by the application program, or information for a certain period stored in the user terminal 20 may be transmitted collectively.

  Further, depending on the aspect of the application development support apparatus 10, the usage history may include a usage form of asset data. Usage mode is whether asset data is used independently, whether it is started from another application program and used as asset data (started), or another application program uses asset data (startup), etc. It is.

  Further, depending on the mode of the application development support apparatus 10, the usage history may include information indicating the attribute of the user of the user terminal 20. User attributes are, for example, the user's age, sex, and preference. For example, this information is input in advance by the user terminal 20 by the user, and is transmitted in association with the transmission of the usage history.

  The application data server 30 is a server that stores developed application programs. The application data server 30 transmits an application program to the user terminal 20 in response to a request from the user terminal 20, for example. The application program transmitted to the user terminal 20 can be used (executable) in the user terminal 20. Specifically, the application data server 30 is a server device including a CPU, a memory, and a communication module, for example.

  The control terminal 40 is a device for inputting information other than that acquired from the user terminal 20 to the application development support device 10. As information input from the control terminal 40, there exists investment intention information which shows the investment intention from an investor, for example. More details will be described later. Specifically, the control terminal 40 is a communication terminal device including a CPU, a memory, and a communication module, for example.

  Subsequently, functions of the application development support apparatus 10 will be described. As shown in FIG. 1, the application development support apparatus 10 includes an asset data database 11, an investment information input unit 12, an asset identification unit 13, a usage history input unit 14, a score calculation unit 15, and an output unit 16. It is configured with.

  The asset data database 11 is a database that stores asset information indicating an asset and metadata related to the asset in association with each other. The asset data database 11 stores each data in, for example, a table shown in FIG. The asset information is information that uniquely identifies an asset that is given in advance to various assets. The asset information corresponds to, for example, a metadata ID as shown in FIG.

  For example, as shown in FIG. 5, the metadata related to the asset is a text such as information such as an asset data name indicating the name of the asset (data) and an asset data summary describing the contents of the asset (data) in text. It is information expressed by. The metadata also includes category and subcategory information indicating information indicating asset (data) classification. Further, the metadata may include other information, ISBN, thumbnail images, arbitrary information such as position information, and the like. Information stored in the asset data database 11 is input to the asset data database 11 in advance by an administrator of the application development support apparatus 10 or the like. The asset data database 11 is referred to as necessary as will be described later.

  The investment information input unit 12 is investment information input means for inputting investment intention information indicating investment intention from the investor. The intention to invest is the intention of the application program developer who invests in the application program development. The investor may have an intention to display an advertisement in an application program to be developed as shown in FIG. The investment intention information is input from the investor (or an operator who performs an operation on behalf of the investor) at the control terminal 40 and transmitted from the control terminal 40 to the application development support apparatus 10. The investment information input unit 12 receives and inputs the transmitted information.

  FIG. 6 shows an example of investment intention information input to the investment information input unit 12 (one line of data in FIG. 6 corresponds to one investment intention information). The investment information input unit 12 inputs, for example, a feature word and information indicating the weight for each feature word as investment intention information. This characteristic word is an investment characteristic word such as “beer” or “food” as shown in the example of FIG. This is, for example, investment intention information when a business operator (restaurant operator) who develops a restaurant invests in application program development for the purpose of advertising a beer restaurant scheduled to open. Each investment feature word may be given a weight. As shown in the example of FIG. 6, “beer” is given a weight of “10”, and “food” is given a weight of “1”. This weight indicates, for example, how close the investment characteristic word is to the characteristic word close to the investment intention.

  Moreover, the investment information input part 12 is good also as inputting the information which shows the attribute of the user who utilizes the user terminal 20 as investment intention information. As the user attributes, for example, as shown in the example of FIG. 6, the user's age, sex, or preference such as “20's female” or “30's male” is shown. The investment intention information is assigned an ID (for example, information in the No column shown in FIG. 6) for identifying each investment intention information, so that the investment intention can be identified.

  As investment intention information, any information can be used as long as the intention of investment is known. For example, as shown in the column “Investment Intent_Product Viewpoint (Note 1)” in the example of FIG. Moreover, it is good also as extracting said investment characteristic word and weight from this sentence.

  In addition, the investment intention information is associated with the investment amount as shown in the column “capital (yen)” in the example of FIG. 6, and the investment information input unit 12 also includes information indicating the investment amount. May be entered. The investment information input unit 12 outputs the input information to the asset identification unit 13.

  The asset identification unit 13 is an asset identification unit that identifies the asset that matches the investment intention by comparing the investment intention information input by the investment information input unit 12 and the metadata stored in the asset data database 11. . For example, the asset identification unit 13 determines whether or not a feature word input as investment intention information is included in the metadata, and an asset that matches the investment intention based on the determination and information indicating the weight for each feature word. Is identified.

  Specifically, the asset identification unit 13 acquires metadata stored in the asset data database 11. It is determined whether or not the feature word input as investment intention information is included in the asset data name of the metadata or the sentence of the asset data overview for each asset. When the feature word is included in the metadata, the number of appearances where the feature word is included in the metadata is counted. The table in FIG. 7 is an example when the investor in FIG. 6 described above is a restaurant business. First, the number of appearances in the metadata of each feature word is counted for each asset. Then, calculate the product of the counted number of appearances for each feature word and the weight of the feature word input as investment intention information, and calculate the sum of these to calculate the expectation of each asset for investment intention information (investment intention) A value (information shown in column A of the table of FIG. 7) is calculated. In the example shown in FIG. 7, the weight of “beer” is “10”, and the weight of “food” is “1”.

  The asset identification unit 13 determines whether or not the expected value is greater than or equal to a preset threshold value for each asset. Assets for which the expected value is determined to be greater than or equal to the threshold are identified as assets that match the investment intention. For example, in the example illustrated in FIG. 7, if the threshold is “5”, assets with metadata IDs “C # 3-1-1” and “C # 3-3-4” match the investment intention. Identified as an asset. The asset specifying unit 13 associates information indicating an asset that matches the investment intention with information for identifying the investment intention, and outputs the information to the score calculation unit 15 as an asset data frame. The asset data frame is information as shown in FIG. 7 (the information shown in column B is not input at this stage).

  In addition, even if the investment intention information is information other than the feature word, the asset identification unit 13 matches the intention of investment by performing arbitrary comparison as long as the information can be compared with the metadata stored in the asset data database 11. It is good also as specifying the asset to perform. For example, if the investment intention information is text information, the similarity with the text of the asset data summary text may be calculated to identify an asset that matches the investment intention.

  Further, the asset identification unit 13 may re-identify an asset that matches the investment intention based on a usage history input by a usage history input unit 14 described later (more specifically, described later). That is, the asset specifying unit 13 may update the asset data frame based on the usage history.

  Further, the information of the asset data frame may be output to the control terminal 40 at the stage of generation or update. By referring to this information, the investor can confirm what kind of asset matches the investment intention of the investor.

  The usage history input unit 14 inputs a usage history (log) in which information specifying an application program executed on one or more user terminals 20 and asset information used by the application program are associated with each other. It is an input means. The usage history is transmitted from the user terminal 20 to the application development support apparatus 10 as described above, and the usage history input unit 14 receives and inputs the transmitted usage history.

  Specifically, the usage history is, for example, information in which an ID of an application program is associated with an ID indicating asset information (“metadata ID” shown in FIGS. 5 and 7). However, the metadata ID may be information that cannot be easily grasped by the user terminal 20. In such a case, information that can specify asset data other than the metadata ID, for example, information such as ISBN in the case of a product name or a book, is input, and the metadata ID is specified with reference to the asset data database 11. It is good as well. Also, the asset data database 11 may be held in advance in the user terminal 20 and the metadata ID may be specified on the user terminal 20 side.

  The usage history input unit 14 may input a usage history including information indicating a usage form of asset information by an application program in the user terminal 20. Further, the usage history input unit 14 may input a usage history including information indicating the attribute of the user of the terminal 20 that has executed the application program. The usage history input unit 14 outputs the input usage history information to the score calculation unit 15.

  The score calculation unit 15 calculates the score for the investment intention for each application program based on the usage history related to the asset specified by the asset specification unit 13 among the usage history input by the usage history input unit 14. Means.

  The score calculation unit 15 counts the number of accesses using the usage history input by the usage history input unit 14. The number of accesses is typically the number of times asset data is used by the application for each asset data and application.

  Subsequently, the score calculation unit 15 aggregates (adds) the number of accesses for the asset identified by the asset identification unit 13 for each application program. In the case of the present embodiment, the number of accesses for asset data with metadata IDs “C # 3-1-1” and “C # 3-3-4” specified by the asset specifying unit 13 is added for each application program. To be fooled. The values totaled in this way are scores (contributions) for investment intention for each application program.

  Moreover, the score calculation part 15 is good also as counting the number of accesses for every utilization form contained in use history. For example, a case where asset data is used alone and a case where asset data is used by being activated or activated may be counted separately. Then, the number of accesses when the asset data is used alone and the number of accesses when the asset data is used by being activated or activated are added together with weights set in advance, respectively, and a score based on the added value ( (Degree of contribution) may be calculated.

  Thus, for example, when asset data is used by being started or started, that is, when asset data is used in cooperation with other application programs, the cooperation with the application program is strengthened, and the application program As a means to promote the use of, the asset data can be treated as making a greater contribution to the investment intention than when the asset data is used alone.

  As an example of information calculated by the score calculation unit 15 in FIG. 8 (with respect to the investment by the restaurant operator in FIG. 6), the number of accesses when asset data is used independently for each application program (column A) Value), the number of accesses when used by activation or activation (value in column B), a value obtained by weighting and adding them in advance (value in column C), and the value in column C as asset data The score (contribution) (value in column D) calculated by adding together is shown. Further, the ratio of contribution to the whole (contribution ratio), information on the program with the highest contribution (negotiation right), and the like may be calculated. The negotiating right is, for example, a right to negotiate to receive investment from an investor, and is given to, for example, an application developer having the highest contribution rate. Further, the distribution of the investment amount for each application program may be calculated by taking the product of the contribution rate and the investment amount indicated by the information input in the investment information input unit 12 for the investment.

  Further, the score calculation means may calculate the score using a use history that matches the user attribute indicated by the information input to the investment information input unit 12. That is, the number of times of use may be counted only when the application program uses asset data by the user terminal 20 of the user who meets the investment intention.

  Counting the number of accesses by the score calculation unit 15 and calculating the contribution are triggered by the input of the number of usage histories (data) greater than or equal to a preset threshold value from the usage history input unit 14 or at regular intervals. Done.

  The score calculation unit 15 outputs the calculated information to the output unit 16, for example, in the format shown in the table of FIG.

  The number of accesses used for calculating the score by the score calculation unit 15 is the number of times asset data is used by the application for each asset data and application, and the expected value for each asset data (in the column A of the asset data frame in FIG. 7). (Value) may be taken into consideration. For example, a weighted value may be obtained by taking the product of the number of times of use and the expected value. Thereby, since the contribution degree of the application can be calculated in consideration of the expected value of each asset with respect to the investment intention information (investment intention), it becomes possible to evaluate the application more in line with the investment intention.

  Further, the asset identification unit 13 selects an asset that matches the investment intention based on the number of accesses for each asset calculated by the score calculation unit 15 (that is, based on the usage history input by the usage history input unit 14). It may be re-specified. That is, the asset data frame may be updated.

  Specifically, the asset identification unit 13 aggregates the asset data and the number of accesses counted for each application by the score calculation unit 15 for each asset data, and stores them in the B column of the asset data frame shown in FIG. Next, the asset data frame is updated using the number of accesses stored in the asset data frame. For example, the number of accesses for each asset calculated by the score calculation unit 15 (the sum of the number of accesses by all application programs) is set in advance even for asset data that has been determined to be an asset that matches the investment intention. If it is smaller than the threshold, it is excluded from assets that match the investment intention. Further, even if the asset data has been determined as an asset that does not match the intention of investment, the number of accesses for each asset calculated by the score calculation unit 15 (sum of the number of accesses by all application programs) and the expectation of the asset data If the product of the value (the value in the A column in FIG. 7) is larger than a preset threshold value, the asset matches the intention to invest.

  The asset identification unit 13 specifies an asset that matches the investment intention, and the score calculation unit 15 calculates the score for the investment intention for each application program. However, the processing is performed in units of asset data. It may be performed as a unit. For example, as shown in FIG. 5, asset data is classified in advance into categories and subcategories. A category or subcategory (a set of assets) that matches the investment intention may be specified in units of these categories or subcategories, and a score for the investment intention for each application program may be calculated using the category or subcategory. This is effective when the number of asset data handled in the application development support apparatus 10 is enormous.

  The output unit 16 is an output unit that outputs information corresponding to the information input from the score calculation unit 15. This output is performed, for example, by transmitting data in the format shown in the table of FIG. 8 for each contribution from the investor to a fund distribution server (not shown) that distributes the invested capital. Alternatively, display output may be performed on a display device included in the application development support apparatus 10.

  By referring to this, it is possible to grasp how much application program contributes to which investment, and to appropriately allocate the investment.

  FIG. 9 shows a hardware configuration of the application development support apparatus 10. As shown in FIG. 9, the application development support apparatus 10 includes a CPU 101, a RAM (Random Access Memory) 102 and a ROM (Read Only Memory) 103, which are main storage devices, a communication module 104 for communication, and an auxiliary storage such as a hard disk. The computer is configured to include a computer including hardware such as the device 105. The functions of the application development support apparatus 10 described above are exhibited when these components are operated by a program or the like. The above is the configuration of the application development support apparatus 10.

  Subsequently, an application development support method which is a process executed by the application development support apparatus 10 according to the present embodiment will be described with reference to the sequence diagram of FIG.

  In this process, first, the investment feature word and the investment feature weight, which are investment intention information, are input to the control terminal 40 and transmitted from the control terminal 40 to the application development support apparatus 10. In the application development support apparatus 10, investment intention information is received by the investment information input unit 12 (S01, investment information input step). The received investment intention information is output from the investment information input unit 12 to the asset identification unit 13. Note that the input and transmission of investment intention information in the control terminal 40 is performed as needed when an application program development investor having an investment intention appears.

  In the application development support apparatus 10, the asset identification unit 13 then compares the investment intention information input by the investment information input unit 12 with the metadata stored in the asset data database 11 to match the investment intention. An asset is identified (S02, asset identification step). Specifically, as described above, the expected value is calculated for each asset data from the comparison between the investment intention information and the metadata. An asset data frame (information as shown in FIG. 7) including asset data whose expected value is greater than or equal to the threshold value is generated.

  Information (asset data, expected value) of the generated asset data frame is transmitted from the asset specifying unit 13 to the control terminal 40 (S03). By referring to this information, the investor can confirm what kind of asset matches the investment intention of the investor.

  On the other hand, the application program desired by the user is downloaded from the application data server 30 by the user terminal 20 (S04). In the user terminal 20, an application program is executed by a user operation or the like, and asset data corresponding to the application program is used by the application program (S05). Subsequently, in the user terminal 20, asset information related to the used asset data and information specifying the used application program are detected, and a usage history associated with the information is transmitted to the application development support apparatus 10. (S06).

  Note that the processes of S04 to S06 are performed independently of the processes of S01 to S03. Moreover, the process of S04-S06 may be performed by the some user terminal 20. FIG. Further, the process of S04 may be performed only once before the application program is executed. Further, the processes of S05 and S06 are performed every time asset data is used by executing an application program in the user terminal 20.

  When the usage history is transmitted from the user terminal 20, the application development support apparatus 10 receives and inputs the usage history transmitted by the usage history input unit 14 (S06, usage history input step). The usage history is output from the usage history input unit 14 to the score calculation unit 15.

  Subsequently, processing by the score calculation unit 15 is performed. This processing is performed, for example, when the number of usage histories (data) equal to or greater than a preset threshold is input from the usage history input unit 14 or at regular intervals. Done. Based on the asset data frame, the score calculation unit 15 counts the asset data and the number of times asset data is used by the application (number of accesses) for each application (S07, score calculation step). The number of accesses counted corresponds to the information shown in column B in FIG.

  Subsequently, the asset specifying unit 13 may specify the asset that matches the investment intention based on the counted number of accesses (S08, asset specifying step). That is, the asset data frame may be updated. Specifically, when the above-described conditions are satisfied, an asset that is determined to match the investment intention and an asset that matches the investment intention are added.

  Subsequently, the score calculation unit 15 calculates the contribution to the investment for each application program based on the counted number of accesses (S09, score calculation step). Information on the calculated contribution is output from the score calculation unit 15 to the output unit 16. Subsequently, the output unit 16 performs predetermined output such as information on the degree of contribution to the contribution for each application program being transmitted to another device (S10, output step).

  Note that the processes of S07 to S10 are repeatedly performed on the assumption that S04 to S06 are continuously performed as long as the investment related to the investment intention information input in S01 is performed. At this time, the asset data frame (information on the asset that matches the investment intention) used in S07 is updated in S08. Further, the asset data frame updated in S08 may be transmitted from the asset specifying unit 13 to the control terminal 40 as in the process of S03.

  By referring to the information output from the output unit 16, it is possible to grasp what application program contributes to which investment, and to appropriately allocate the investment. it can. Therefore, according to the present embodiment, through the evaluation of the application program based on the use of asset data, the investment from the investor can be appropriately distributed to the application program developer according to the intention of investment. That is, according to the present embodiment, the investor can appropriately invest in the development of the application program and the developer can appropriately develop the application program. As a result, by obtaining an appropriate investment effect, it becomes possible to promote investment in the development of the application program, and also to promote the development of the application program itself. In addition, appropriate matching and cooperation can be established between the application program investor and the developer.

  Furthermore, it can be evaluated that it contributes to the creation of a new market and the improvement of a new user value among the application program providers existing in the market. Moreover, if efficient investment and efficient development itself are possible for the development of application programs, an ecosystem in which only truly necessary application programs are developed can be realized.

  Further, as in the present embodiment, information indicating the usage form of asset information may be included in the usage history, and the contribution degree of the application program may be calculated based on the information. According to this configuration, for example, the score can be calculated more appropriately in consideration of cooperation between application programs such that the use of asset information by an application program is performed by an instruction of another application program. Specifically, for example, an application program that is activated or activated (high degree) by the use of asset data from another application program contributes more to promoting cooperation between application programs in the use of asset data. You can raise the degree.

  If the feature word and the weight for each feature word are used as investment intention information as in this embodiment, assets that match the investment intention can be identified appropriately and reliably, and the present invention is implemented appropriately and reliably. can do. Further, the contribution may be calculated in consideration of user attributes. According to this structure, a score can be calculated according to a user's attribute, for example, age and sex.

  Moreover, it is good also as specifying the asset which agree | coincides with the investment intention based on a use log | history like this embodiment. According to this configuration, the score can be calculated more appropriately according to the usage history, and the investment effect can be improved.

DESCRIPTION OF SYMBOLS 10 ... Application development support apparatus, 11 ... Asset data database, 12 ... Investment information input part, 13 ... Asset identification part, 14 ... Usage history input part, 15 ... Score calculation part, 16 ... Output part, 20 ... User terminal, 30 Application data server 40 Control terminal 101 CPU 102 RAM 103 ROM 104 Communication module 105 Auxiliary storage device

Claims (6)

An asset data database for storing asset information indicating an asset and metadata related to the asset in association with each other;
Investment information input means for inputting investment intention information indicating investment intention from the investor,
Asset identification means for identifying an asset that matches the investment intention by comparing the investment intention information input by the investment information input means and the metadata stored in the asset data database;
Use history input means for inputting a use history in which information for identifying an application program executed in one or more terminals and asset information used by the application program are associated;
Score calculating means for calculating a score for the investment intention for each of the application programs based on the use history related to the asset specified by the asset specifying means among the use histories input by the use history input means;
Output means for outputting information according to the score calculated by the score calculating means;
An application development support apparatus comprising: The usage history input means inputs information indicating a usage form of the asset information by the application program,
The score calculation means calculates the score based also on the information indicating the usage form input by the use history input means.
The application development support apparatus according to claim 1. The investment information input means inputs a feature word and information indicating a weight for each feature word as the investment intention information,
The asset identification unit determines whether the feature word input by the investment information input unit is included in the metadata, and determines the investment intention based on the determination and information indicating a weight for each feature word. Identify matching assets,
The application development support apparatus according to claim 1 or 2. The investment information input means inputs information indicating an attribute of a user who uses the terminal as the investment intention information,
The usage history input means inputs the usage history including information indicating the attribute of the user of the terminal that executed the application program,
The score calculation means calculates the score using the usage history that matches the user attribute indicated by the information input to the investment information input means.
The application development support apparatus as described in any one of Claims 1-3.   The application development support apparatus according to any one of claims 1 to 4, wherein the asset identification unit re-identifies an asset that matches the investment intention based on the usage history input by the usage history input unit. . An application development support method by an application development support apparatus comprising an asset data database that stores asset information indicating an asset and metadata related to the asset in association with each other,
Investment information input step for inputting investment intention information indicating investment intention from the investor;
An asset identification step for identifying an asset that matches the investment intention by comparing the investment intention information input in the investment information input step with the metadata stored in the asset data database;
A use history input step for inputting a use history in which information for identifying an application program executed in one or more terminals and asset information used by the application program are associated with each other;
A score calculation step for calculating a score for the investment intention for each application program based on a usage history related to the asset specified in the asset specification step among the usage histories input in the usage history input step;
An output step of outputting information according to the score calculated in the score calculation step;
Application development support method including