WO2019130433A1 - Information processing result providing system, information processing result providing method, and program - Google Patents

Information processing result providing system, information processing result providing method, and program Download PDF

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Publication number
WO2019130433A1
WO2019130433A1 PCT/JP2017/046712 JP2017046712W WO2019130433A1 WO 2019130433 A1 WO2019130433 A1 WO 2019130433A1 JP 2017046712 W JP2017046712 W JP 2017046712W WO 2019130433 A1 WO2019130433 A1 WO 2019130433A1
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algorithm
data
provider
user
processing
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PCT/JP2017/046712
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French (fr)
Japanese (ja)
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航洋 竹之下
将仁 谷口
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株式会社ウフル
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Priority to PCT/JP2017/046712 priority Critical patent/WO2019130433A1/en
Priority to JP2019561436A priority patent/JPWO2019130433A1/en
Publication of WO2019130433A1 publication Critical patent/WO2019130433A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services

Definitions

  • the present invention relates to an information processing result providing system, an information processing result providing method, and a program.
  • Patent Document 1 discloses a mechanism for selecting and storing only important data in learning performed by a machine learning system.
  • Machine learning is an algorithm that generates a model based on the result of iterative learning from given data, and predicts various events by applying new data to the model. If the results of learning using such an algorithm can be widely used in the world, it can help technological progress. Therefore, an object of the present invention is to generate a mechanism capable of providing the result of processing performed using an algorithm operating on a computer to a third party.
  • the present invention comprises: algorithm acquisition means for acquiring an algorithm provided by an algorithm provider; data acquisition means for acquiring data provided by a data provider different from the algorithm provider; Providing the user with information according to the result processed by the processing means in response to requests from processing means performing processing using data, the algorithm provider and a user different from the data provider Providing means for providing an information processing result providing system.
  • a charging processing unit may be provided which performs processing for paying the money equivalent to at least a part of the money paid from the user to the algorithm provider or the data provider.
  • the charge processing unit may perform processing for paying money equivalent to at least a part of the money to the algorithm provider or the data provider after the user pays the money.
  • the money paid by the user may be money of the amount according to the processing means or the data.
  • said user designates a combination of said algorithm and said data
  • said providing means is processed by said processing means with a combination of said designated algorithm and said data Information corresponding to the result may be provided to the user.
  • the present invention also includes an algorithm acquisition step of acquiring an algorithm provided by an algorithm provider, a data acquisition step of acquiring data provided by a data provider different from the algorithm provider, and the acquired algorithm And providing the user with information processed by the processing step in response to a request from a user who is different from the algorithm provider and the data provider, and a processing step of performing processing using the data. And providing the information processing result providing method.
  • the present invention also includes an algorithm acquisition step of acquiring an algorithm provided by an algorithm provider, a data acquisition step of acquiring data provided by a data provider different from the algorithm provider, and a computer. Processing step of performing processing using the algorithm and the data, and the user processing the information processed by the processing step according to a request from the algorithm provider and a user different from the data provider Providing a providing step and providing a program.
  • the results of processing performed using an algorithm can be provided to a third party.
  • FIG. 1 illustrates the overall configuration of an information processing result providing system 10 according to an embodiment of the present invention.
  • the figure which illustrates the hardware constitutions of the algorithm provider terminal 1.
  • FIG. FIG. 2 is a diagram illustrating a hardware configuration of the information processing device 4;
  • FIG. 1 is a diagram illustrating a functional configuration of an information processing result providing system 10.
  • 6 is a flowchart illustrating a model generation operation by the information processing result providing system 10; 6 is a flowchart illustrating an example of a result information generation operation by the information processing result providing system 10.
  • FIG. 1 is a diagram illustrating an outline of an information processing result providing system 10 according to an embodiment of the present invention.
  • the information processing result providing system 10 is a communication network that communicably connects the algorithm provider terminal 1, the data provider terminal 2, the user terminal 3, the information processing apparatus 4, and these terminals or apparatuses 1 to 4. It is equipped with five.
  • the communication network 5 is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network), or a combination thereof, and may include a wired section or a wireless section.
  • the algorithm provider terminal 1, the data provider terminal 2, the user terminal 3 and the information processing apparatus 4 are illustrated one by one in FIG. 1, but a plurality of each may be provided.
  • the algorithm provider terminal 1 is a computer used by an algorithm provider that provides an algorithm.
  • the algorithm referred to here is that a model is generated on the computer based on a result of machine learning from given data, and further new input data is input to the model to predict from the input data. Is an algorithm for outputting an event.
  • the data provider terminal 2 is a computer used by a data provider that provides data used when machine learning is performed in the above algorithm.
  • the data used for machine learning is generally a huge amount of data, and in the following it is called a data set.
  • the data set used in the present embodiment includes, for example, detection values detected by a large number of sensor groups and events generated at the time of detection.
  • the algorithm used in the present embodiment is, for example, an algorithm (so-called supervised learning algorithm) for generating a model for predicting an event that may occur in the future from detected values thereof.
  • the user terminal 3 is a computer used by the user.
  • the user refers to a model obtained as a result of machine learning according to the above-described algorithm using the above data set by the information processing apparatus 4, and inputs desired input data prepared by the user. It is a person who uses the information output from the model as a result.
  • the algorithm provider, the data provider and the user are all different users. Therefore, for example, the algorithm provider may concentrate on developing and acquiring an algorithm for machine learning, and the data provider may concentrate on generating and acquiring a data set for machine learning. As a result, compared with the case where one user or one organization prepares both an algorithm and a data set for machine learning, it is possible to reduce the cost and time required for preparation thereof.
  • the user prepares input data for input to the generated model, it is possible to know events predicted based on the input data. As a result, compared to the case where one user or one organization prepares an algorithm and data set for machine learning and all input data for predicting an event, the preparation cost and time are reduced. It becomes possible.
  • the above algorithm is, for example, a machine learning algorithm such as supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, expression learning, but the algorithm in the present invention is not limited thereto.
  • the algorithm in the present invention may include other learning algorithms such as data mining and deep learning. These learning algorithms include, for example, various techniques or techniques such as decision tree learning, correlation rule learning, neural networks, genetic programming, inductive logic programming, support vector machines, clustering, Bayesian networks, etc. included.
  • the algorithm in the present invention is not limited to the algorithm for learning as described above, and is processed along with any data provided by the data provider, and outputs information that the user wants to obtain as a result of the processing. What is necessary.
  • FIG. 2 is a diagram illustrating the hardware configuration of the algorithm provider terminal 1.
  • the algorithm provider terminal 1 includes a control unit 101, a communication unit 102, a storage unit 103, and a UI (User Interface) unit 104.
  • the control unit 101 includes an arithmetic device such as a central processing unit (CPU) and a storage device such as a read only memory (ROM) and a random access memory (RAM).
  • the CPU controls the operation of each unit of the algorithm provider terminal 1 by executing a program stored in the ROM or the storage unit 103 using the RAM as a work area.
  • the communication unit 102 is hardware (transmission / reception device) for performing communication between computers via a wired or wireless communication network, and is also called, for example, a network device, a network controller, a network card, a communication module, or the like.
  • the communication unit 102 is connected to the communication network 5.
  • the storage unit 103 is a computer readable recording medium, and for example, an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, a magnetooptical disk (for example, a compact disk, a digital versatile disk, Blu-ray disc
  • the disk may be made of at least one of a ray (registered trademark) disk, a smart card, a flash memory (for example, a card, a stick, a key drive), a floppy disk, a magnetic strip, and the like.
  • the storage unit 103 may be called an auxiliary storage device.
  • the storage unit 103 stores data groups and program groups used by the control unit 101.
  • the UI unit 104 includes, for example, a liquid crystal panel and a liquid crystal drive circuit, and includes a display unit for displaying an image according to image data and an operator such as a key or a touch sensor. And an operation unit for supplying a corresponding signal to the control unit 101.
  • the hardware configuration of the data provider terminal 2 and the user terminal 3 is the same as that of the algorithm provider terminal 1.
  • FIG. 3 is a diagram illustrating the hardware configuration of the information processing device 4.
  • the information processing device 4 includes a control unit 401, a communication unit 402, and a storage unit 403.
  • the control unit 401 includes an arithmetic device such as a CPU and a storage device such as a ROM and a RAM.
  • the CPU controls the operation of each unit of the information processing apparatus 4 by executing a program stored in the ROM or the storage unit 403 using the RAM as a work area.
  • the communication unit 402 is hardware (transmission / reception device) for performing communication between computers via a wired or wireless communication network, and is also called, for example, a network device, a network controller, a network card, a communication module, or the like.
  • the communication unit 402 is connected to the communication network 5.
  • the storage unit 403 is a computer readable recording medium, and for example, an optical disk such as a CD-ROM, a hard disk drive, a flexible disk, a magneto-optical disk (for example, a compact disk, a digital versatile disk, Blu-ray (registered trademark)
  • the memory card may be configured of at least one of a disk), a smart card, a flash memory (for example, a card, a stick, a key drive), a floppy (registered trademark) disk, a magnetic strip, and the like.
  • the storage unit 403 may be called an auxiliary storage device.
  • the storage unit 403 stores data groups and program groups used by the control unit 401.
  • FIG. 4 is a diagram illustrating the functional configuration of the information processing result providing system 10.
  • the information processing result providing system 10 includes an algorithm acquisition unit 41 for acquiring an algorithm provided from the algorithm provider terminal 1, a data acquisition unit 42 for acquiring a data set provided from the data provider terminal 2, and A processing unit 43 that performs processing using an algorithm and a data set, a providing unit 44 that provides the user terminal 3 with information processed by the processing unit 43, and money corresponding to at least a portion of money paid by the user And an accounting processor 45 for performing processing for paying the algorithm provider or the data provider. Further, the processing unit 43 performs processing using the acquired algorithm and data set to generate a model, and the input data provided by the user using the generated model.
  • a result information generation unit 432 that generates result information according to the result of the process.
  • the algorithm acquisition unit 41, the data acquisition unit 42, the processing unit 43, the providing unit 44, and the charging processing unit 45 are implemented in the information processing device 4. These functions are realized by the control unit 401 of the information processing device 4 executing a program.
  • the processing unit 43 of the information processing device 4 provides the user terminal 3 with information according to the result of processing by the combination of the designated algorithm and data set.
  • the model generation unit 432 performs processing using a designated algorithm and data set to generate a model
  • the result information generation unit 433 is provided by the user using the generated model. Process the input data and generate result information according to the result of the process.
  • the providing unit 44 provides the user terminal 3 with the result information generated as a result.
  • the charge processing unit 45 performs a process to pay money corresponding to at least a part of the money to the algorithm provider or the data provider after the user has paid the money.
  • the user operates, for example, the user terminal 3 to perform a procedure for paying the money to the manager of the information processing device 4.
  • the charge processing unit 45 carries out processing for paying money to the algorithm provider or the data provider, using the money as a fund.
  • the money to be paid by the user is determined according to the algorithm or data set used by the processing unit 43 for processing (more specifically, the algorithm or data set used for generating the model by the model generation unit 432). Amount of money.
  • an algorithm is designated (used) by a large number of users, the algorithm is targeted to pay more money than other algorithms.
  • a data set is designated (utilized) by a large number of users, that data set is intended to be paid more than the other data sets. That is, the amount of money paid for the use of each algorithm or each data set will vary depending on, for example, the level of evaluation or popularity of those algorithms or data sets.
  • each of the algorithm acquired from the algorithm provider terminal 1, the data set acquired from the data provider terminal 2, and information according to the results processed by these algorithm and data set, respectively Confidentiality is to be maintained.
  • the administrator of the information processing apparatus 4 can not access the information corresponding to the algorithm, the data set and the processed result (or a special authority is required for the access) Is stored in a dedicated storage area.
  • the dedicated storage area is the storage unit 431 included in the processing unit 43 illustrated in FIG.
  • FIGS. 5 and 6 are flowcharts illustrating the operation of the information processing result providing system 10.
  • the algorithm acquisition unit 41 acquires an algorithm uploaded from the algorithm provider terminal 1 via the communication network 5, or the data acquisition unit 42 acquires from the data provider terminal 2 the communication network 5.
  • the data set uploaded via the network is acquired (step S11).
  • These algorithms and data sets include various attribute information such as names and outlines of the algorithms and data sets, or names of algorithm providers and data providers.
  • the storage unit 431 of the processing unit 43 stores an algorithm or data set including such attribute information (step S12).
  • the model generation unit 432 of the processing unit 43 performs processing using the acquired algorithm and data set to generate a model (step S13).
  • the storage unit 431 of the processing unit 43 stores the generated model in association with the algorithm and data set used for the generation (step S14).
  • the processing unit 43 provides the user terminal 3 with a list of models stored in the storage unit 431 via the communication network 5 (step S31).
  • This list includes various attribute information such as the name and outline of the algorithm and data set used to generate each model, and the name of the algorithm provider or the data provider.
  • the user browses the list displayed on the user terminal 3, and further refers to each attribute information to search for a model that matches the input data prepared by the user.
  • the user operates the user terminal 3 to specify a desired model, and requests processing using the model.
  • the user terminal 3 transmits to the information processing apparatus 4 a processing request including identification information for specifying a model designated by the user and input data prepared by the user.
  • the processing unit 43 of the information processing device 4 receives the processing request (Step S32; YES)
  • the processing unit 43 performs processing using the designated model and the received input data (Step S33).
  • the result information generation unit 433 processes the input data using the designated model, and generates result information according to the result of the process (step S34).
  • the providing unit 44 provides the result information generated as a result to the user terminal 3 (step S35).
  • the charge processing unit 45 performs processing for paying money corresponding to at least a part of money paid from the user to the algorithm provider or the data provider (step S36).
  • the present invention is not limited to the embodiments described above, and various modifications are possible.
  • the configuration and operation regarding payment of money is not limited to the example of the embodiment.
  • the information processing apparatus 4 does not pay money to the algorithm provider or the data provider after money is collected from the user, but first pays the algorithm provider or the data provider before using it You may collect money from the Moreover, how to decide the amount of money also can adopt an arbitrary method.
  • the present invention is not limited to the embodiments described above, and various modifications are possible.
  • part of the functional configuration illustrated in FIG. 4 may be omitted, and further another function may be added.
  • the functions included in the information processing device 4 illustrated in FIG. 4 may be implemented by any device or terminal belonging to the information processing result providing system 10.
  • a computer device group physically including a plurality of devices may cooperate with one another to implement the same function as the information processing device 4 illustrated in FIG. 4.
  • the process steps performed in the information processing result providing system 10 are not limited to the examples described in the above embodiments. The steps of this process may be interchanged as long as there is no contradiction. Further, the present invention may be provided as an information predetermined result provision method including steps of processing performed in the information processing apparatus 4 or an information predetermined result provision method including steps of processing performed in the information processing result provision system 10.
  • the programs executed by the control unit of each device and each terminal may be provided by a storage medium such as an optical disk, a magnetic disk, or a semiconductor memory, or may be downloaded via a communication line such as the Internet. In addition, these programs may not execute all the steps described in the embodiment.

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Abstract

According to the present invention, an algorithm provider, a data provider, and a user are different persons. This means, for example, that the algorithm provider can concentrate on developing or acquiring machine learning algorithms, and the data provider can concentrate on generating or acquiring machine learning datasets. As a result, it is possible to reduce the cost and time required to prepare those machine learning algorithms and datasets, as compared to when one person or one organization prepares both the machine learning algorithms and datasets. Further, simply by preparing input data to be input into a generated model, the user can ascertain events that are predicted on the basis of the input data. As a result, it is possible to reduce the cost and time required to prepare the machine learning algorithms and datasets and the input data for predicting events, as compared to when one person or one organization prepares all of the machine learning algorithms and datasets and the input data.

Description

情報処理結果提供システム、情報処理結果提供方法及びプログラムInformation processing result providing system, information processing result providing method and program
　本発明は、情報処理結果提供システム、情報処理結果提供方法及びプログラムに関する。 The present invention relates to an information processing result providing system, an information processing result providing method, and a program.
　近年のコンピューティングテクノロジーの進化により、機械学習という技術が普及してきている。例えば特許文献１には、機械学習システムが行う学習において重要なデータのみを選択して蓄積する仕組みが開示されている。 With the recent evolution of computing technology, the technology of machine learning has become widespread. For example, Patent Document 1 discloses a mechanism for selecting and storing only important data in learning performed by a machine learning system.
特開２０１０－５５３０３号公報JP, 2010-55303, A
　機械学習は、与えられたデータから反復的に学習した結果に基づいてモデルを生成し、そのモデルに対してさらに新たなデータをあてはめることで様々な事象を予測する、というアルゴリズムである。このようなアルゴリズムを用いて学習を行った結果を世の中で広く利用することができれば、技術進歩の一助となり得る。そこで、本発明の目的は、コンピュータ上で動作するアルゴリズムを用いて行った処理の結果を第三者に提供し得る仕組みを生成することにある。 Machine learning is an algorithm that generates a model based on the result of iterative learning from given data, and predicts various events by applying new data to the model. If the results of learning using such an algorithm can be widely used in the world, it can help technological progress. Therefore, an object of the present invention is to generate a mechanism capable of providing the result of processing performed using an algorithm operating on a computer to a third party.
課題を解決する手段Means to solve the problem
　本発明は、アルゴリズム提供者から提供されるアルゴリズムを取得するアルゴリズム取得手段と、前記アルゴリズム提供者とは異なるデータ提供者から提供されるデータを取得するデータ取得手段と、取得された前記アルゴリズム及び前記データを用いた処理を行う処理手段と、前記アルゴリズム提供者及び前記データ提供者とは異なる利用者からの要求に応じて、前記処理手段により処理された結果に応じた情報を前記利用者に提供する提供手段とを備えることを特徴とする情報処理結果提供システムを提供する。 The present invention comprises: algorithm acquisition means for acquiring an algorithm provided by an algorithm provider; data acquisition means for acquiring data provided by a data provider different from the algorithm provider; Providing the user with information according to the result processed by the processing means in response to requests from processing means performing processing using data, the algorithm provider and a user different from the data provider Providing means for providing an information processing result providing system.
　前記利用者から支払われる金銭の少なくとも一部に相当する金銭を前記アルゴリズム提供者又は前記データ提供者に支払うための処理を行う課金処理手段を備えるようにしてもよい。 A charging processing unit may be provided which performs processing for paying the money equivalent to at least a part of the money paid from the user to the algorithm provider or the data provider.
　前記課金処理手段は、前記利用者から金銭が支払われた後に、当該金銭の少なくとも一部に相当する金銭を前記アルゴリズム提供者又は前記データ提供者に支払うための処理を行うようにしてもよい。 The charge processing unit may perform processing for paying money equivalent to at least a part of the money to the algorithm provider or the data provider after the user pays the money.
　前記利用者から支払われる金銭は、前記処理手段が前記アルゴリズム又は前記データに応じた額の金銭であってもよい。 The money paid by the user may be money of the amount according to the processing means or the data.
　複数の前記アルゴリズムと複数の前記データがあり、前記利用者は前記アルゴリズム及び前記データの組み合わせを指定し、前記提供手段は、指定された前記アルゴリズム及び前記データの組み合わせで前記処理手段により処理された結果に応じた情報を前記利用者に提供するようにしてもよい。 There are a plurality of said algorithms and a plurality of said data, said user designates a combination of said algorithm and said data, and said providing means is processed by said processing means with a combination of said designated algorithm and said data Information corresponding to the result may be provided to the user.
　また、本発明は、アルゴリズム提供者から提供されるアルゴリズムを取得するアルゴリズム取得ステップと、前記アルゴリズム提供者とは異なるデータ提供者から提供されるデータを取得するデータ取得ステップと、取得された前記アルゴリズム及び前記データを用いた処理を行う処理ステップと、前記アルゴリズム提供者及び前記データ提供者とは異なる利用者からの要求に応じて、前記処理ステップにより処理された情報を前記利用者に提供する提供ステップとを備えることを特徴とする情報処理結果提供方法を提供する。 The present invention also includes an algorithm acquisition step of acquiring an algorithm provided by an algorithm provider, a data acquisition step of acquiring data provided by a data provider different from the algorithm provider, and the acquired algorithm And providing the user with information processed by the processing step in response to a request from a user who is different from the algorithm provider and the data provider, and a processing step of performing processing using the data. And providing the information processing result providing method.
　また、本発明は、コンピュータに、アルゴリズム提供者から提供されるアルゴリズムを取得するアルゴリズム取得ステップと、前記アルゴリズム提供者とは異なるデータ提供者から提供されるデータを取得するデータ取得ステップと、取得された前記アルゴリズム及び前記データを用いた処理を行う処理ステップと、前記アルゴリズム提供者及び前記データ提供者とは異なる利用者からの要求に応じて、前記処理ステップにより処理された情報を前記利用者に提供する提供ステップとを実行させるためのプログラムを提供する。 The present invention also includes an algorithm acquisition step of acquiring an algorithm provided by an algorithm provider, a data acquisition step of acquiring data provided by a data provider different from the algorithm provider, and a computer. Processing step of performing processing using the algorithm and the data, and the user processing the information processed by the processing step according to a request from the algorithm provider and a user different from the data provider Providing a providing step and providing a program.
　本発明によれば、アルゴリズムを用いて行った処理の結果を第三者に提供し得る。 According to the present invention, the results of processing performed using an algorithm can be provided to a third party.
本発明の一実施形態に係る情報処理結果提供システム１０の全体構成を例示する図。FIG. 1 illustrates the overall configuration of an information processing result providing system 10 according to an embodiment of the present invention. アルゴリズム提供者端末１のハードウェア構成を例示する図。The figure which illustrates the hardware constitutions of the algorithm provider terminal 1. FIG. 情報処理装置４のハードウェア構成を例示する図。FIG. 2 is a diagram illustrating a hardware configuration of the information processing device 4; 情報処理結果提供システム１０の機能構成を例示する図。FIG. 1 is a diagram illustrating a functional configuration of an information processing result providing system 10. 情報処理結果提供システム１０によるモデル生成動作を例示するフローチャート。6 is a flowchart illustrating a model generation operation by the information processing result providing system 10; 情報処理結果提供システム１０による結果情報生成動作を例示するフローチャート。6 is a flowchart illustrating an example of a result information generation operation by the information processing result providing system 10.
１…アルゴリズム提供者端末、２…データ提供者端末、３…利用者端末、４…情報処理装置、５…通信網、１０…情報処理結果提供システム、１０１…制御部、１０２…通信部、１０３…記憶部、１０４…ＵＩ部、４０１…制御部、４０２…通信部、４０３…記憶部、４１…アルゴリズム取得部、４２…データ取得部、４３…処理部、４３１…記憶部、４３２…モデル生成部、４３３…結果情報生成部、４４…提供部、４５…課金処理部。 1 ... algorithm provider terminal, 2 ... data provider terminal, 3 ... user terminal, 4 ... information processing device, 5 ... communication network, 10 ... information processing result providing system, 101 ... control unit, 102 ... communication unit, 103 ... storage unit 104 UI unit 401 control unit 402 communication unit 403 storage unit 41 algorithm acquisition unit 42 data acquisition unit 43 processing unit 431 storage unit 432 model generation Part, 433 ... result information generation part, 44 ... provision part, 45 ... charge processing part.
１．構成
　図１は、本発明の一実施形態に係る情報処理結果提供システム１０の概要を例示する図である。情報処理結果提供システム１０は、アルゴリズム提供者端末１と、データ提供者端末２と、利用者端末３と、情報処理装置４と、これらの端末乃至装置１～４を通信可能に接続する通信網５とを備えている。通信網５は、例えばＬＡＮ（Local Area Network）またはＷＡＮ（Wide Area Network）、若しくはこれらの組み合わせであり、有線区間又は無線区間を含んでいてもよい。アルゴリズム提供者端末１、データ提供者端末２、利用者端末３及び情報処理装置４について図１では１つずつ図示しているが、これらはそれぞれ複数であってもよい。 1. Configuration FIG. 1 is a diagram illustrating an outline of an information processing result providing system 10 according to an embodiment of the present invention. The information processing result providing system 10 is a communication network that communicably connects the algorithm provider terminal 1, the data provider terminal 2, the user terminal 3, the information processing apparatus 4, and these terminals or apparatuses 1 to 4. It is equipped with five. The communication network 5 is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network), or a combination thereof, and may include a wired section or a wireless section. The algorithm provider terminal 1, the data provider terminal 2, the user terminal 3 and the information processing apparatus 4 are illustrated one by one in FIG. 1, but a plurality of each may be provided.
　アルゴリズム提供者端末１は、アルゴリズムを提供するアルゴリズム提供者によって使用されるコンピュータである。ここでいうアルゴリズムとは、コンピュータ上において、与えられたデータから機械学習した結果に基づいてモデルを生成し、そのモデルに対してさらに新たな入力データを入力することで、その入力データから予測される事象を出力するためのアルゴリズムである。 The algorithm provider terminal 1 is a computer used by an algorithm provider that provides an algorithm. The algorithm referred to here is that a model is generated on the computer based on a result of machine learning from given data, and further new input data is input to the model to predict from the input data. Is an algorithm for outputting an event.
　データ提供者端末２は、上記アルゴリズムにおいて機械学習が行われるときに用いられるデータを提供するデータ提供者によって使用されるコンピュータである。機械学習に用いられるデータは一般に膨大なデータ量となり、以下では、データセットという。本実施形態で用いられるデータセットは、例えば多数のセンサ群によって検出された各検出値と各々の検出時において発生した事象とを含むものである。また、本実施形態で用いられるアルゴリズムは、例えばそれらの検出値から将来において起こり得る事象を予測するためのモデルを生成するためのアルゴリズム（いわゆる教師あり学習のアルゴリズム）である。 The data provider terminal 2 is a computer used by a data provider that provides data used when machine learning is performed in the above algorithm. The data used for machine learning is generally a huge amount of data, and in the following it is called a data set. The data set used in the present embodiment includes, for example, detection values detected by a large number of sensor groups and events generated at the time of detection. Further, the algorithm used in the present embodiment is, for example, an algorithm (so-called supervised learning algorithm) for generating a model for predicting an event that may occur in the future from detected values thereof.
　利用者端末３は、利用者により使用されるコンピュータである。ここでいう利用者とは、情報処理装置４が上記データセットを用いて上記アルゴリズムに従った機械学習を行った結果得られたモデルに対し、自身が用意した所望の入力データを入力してその結果としてモデルから出力される情報を利用する者である。 The user terminal 3 is a computer used by the user. Here, the user refers to a model obtained as a result of machine learning according to the above-described algorithm using the above data set by the information processing apparatus 4, and inputs desired input data prepared by the user. It is a person who uses the information output from the model as a result.
　アルゴリズム提供者、データ提供者及び利用者はいずれも互いに異なるユーザである。このため、例えばアルゴリズム提供者は機械学習用のアルゴリズムの開発や入手にのみ専念し、データ提供者は機械学習用のデータセットの生成や入手にのみ専念すればよいことになる。この結果、１のユーザ又は１の組織が機械学習用のアルゴリズム及びデータセットの双方を用意する場合に比べて、それらの用意に要するコストや時間を小さくすることが可能となる。 The algorithm provider, the data provider and the user are all different users. Therefore, for example, the algorithm provider may concentrate on developing and acquiring an algorithm for machine learning, and the data provider may concentrate on generating and acquiring a data set for machine learning. As a result, compared with the case where one user or one organization prepares both an algorithm and a data set for machine learning, it is possible to reduce the cost and time required for preparation thereof.
　また、利用者は、生成されたモデルに入力するための入力データさえ用意すれば、その入力データに基づいて予測される事象を知ることが可能となる。この結果、１のユーザ又は１の組織が機械学習用のアルゴリズム及びデータセットと、さらに事象を予測するための入力データの全てを用意する場合に比べて、その用意に要するコストや時間を小さくすることが可能となる。 Also, if the user prepares input data for input to the generated model, it is possible to know events predicted based on the input data. As a result, compared to the case where one user or one organization prepares an algorithm and data set for machine learning and all input data for predicting an event, the preparation cost and time are reduced. It becomes possible.
　上記アルゴリズムは、例えば教師あり学習、教師なし学習、半教師あり学習、強化学習、表現学習等の機械学習アルゴリズムであるが、本発明におけるアルゴリズムはこれに限らない。例えば、本発明におけるアルゴリズムは、データマイニングやディープラーニング等の、その他の学習用のアルゴリズムを含んでもよい。なお、これらの学習用のアルゴリズムは、例えば決定木学習、相関ルール学習、ニューラルネットワーク、遺伝的プログラミング、帰納論理プログラミング、サポートベクターマシン 、クラスタリング、ベイジアンネットワーク等の各種の技法乃至技術を用いたものが含まれる。さらに、本発明におけるアルゴリズムは、上述したような学習用のアルゴリズムにも限定されず、データ提供者により提供される何らかのデータとともに処理されて、その処理の結果、利用者が得たい情報を出力するものであればよい。 The above algorithm is, for example, a machine learning algorithm such as supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, expression learning, but the algorithm in the present invention is not limited thereto. For example, the algorithm in the present invention may include other learning algorithms such as data mining and deep learning. These learning algorithms include, for example, various techniques or techniques such as decision tree learning, correlation rule learning, neural networks, genetic programming, inductive logic programming, support vector machines, clustering, Bayesian networks, etc. included. Furthermore, the algorithm in the present invention is not limited to the algorithm for learning as described above, and is processed along with any data provided by the data provider, and outputs information that the user wants to obtain as a result of the processing. What is necessary.
　次に、情報処理結果提供システム１０を構成する端末乃至装置の構成を説明する。図２は、アルゴリズム提供者端末１のハードウェア構成を例示する図である。アルゴリズム提供者端末１は、制御部１０１と、通信部１０２と、記憶部１０３と、ＵＩ（User Interface）部１０４とを備えている。制御部１０１は、ＣＰＵ（Central Processing Unit）などの演算装置と、ＲＯＭ（Read Only Memory）及びＲＡＭ（Random Access Memory）などの記憶装置とを備えている。ＣＰＵは、ＲＡＭをワークエリアとして用いてＲＯＭや記憶部１０３に記憶されたプログラムを実行することによって、アルゴリズム提供者端末１の各部の動作を制御する。 Next, the configuration of a terminal or an apparatus constituting the information processing result providing system 10 will be described. FIG. 2 is a diagram illustrating the hardware configuration of the algorithm provider terminal 1. The algorithm provider terminal 1 includes a control unit 101, a communication unit 102, a storage unit 103, and a UI (User Interface) unit 104. The control unit 101 includes an arithmetic device such as a central processing unit (CPU) and a storage device such as a read only memory (ROM) and a random access memory (RAM). The CPU controls the operation of each unit of the algorithm provider terminal 1 by executing a program stored in the ROM or the storage unit 103 using the RAM as a work area.
　通信部１０２は、有線又は無線通信網を介してコンピュータ間の通信を行うためのハードウェア（送受信デバイス）であり、例えばネットワークデバイス、ネットワークコントローラ、ネットワークカード、通信モジュールなどともいう。通信部１０２は、通信網５に接続されている。 The communication unit 102 is hardware (transmission / reception device) for performing communication between computers via a wired or wireless communication network, and is also called, for example, a network device, a network controller, a network card, a communication module, or the like. The communication unit 102 is connected to the communication network 5.
　記憶部１０３は、コンピュータ読み取り可能な記録媒体であり、例えば、ＣＤ－ＲＯＭ（Compact　Disc　ＲＯＭ）などの光ディスク、ハードディスクドライブ、フレキシブルディスク、光磁気ディスク（例えば、コンパクトディスク、デジタル多用途ディスク、Ｂｌｕ－ｒａｙ（登録商標）ディスク）、スマートカード、フラッシュメモリ（例えば、カード、スティック、キードライブ）、フロッピー（登録商標）ディスク、磁気ストリップなどの少なくとも１つで構成されてもよい。記憶部１０３は、補助記憶装置と呼ばれてもよい。記憶部１０３は、制御部１０１が用いるデータ群やプログラム群を記憶している。 The storage unit 103 is a computer readable recording medium, and for example, an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, a magnetooptical disk (for example, a compact disk, a digital versatile disk, Blu-ray disc The disk may be made of at least one of a ray (registered trademark) disk, a smart card, a flash memory (for example, a card, a stick, a key drive), a floppy disk, a magnetic strip, and the like. The storage unit 103 may be called an auxiliary storage device. The storage unit 103 stores data groups and program groups used by the control unit 101.
　ＵＩ部１０４は、例えば液晶パネル及び液晶駆動回路などを含み、画像データに応じた画像を表示する表示部と、例えばキーやタッチセンサなどの操作子を含み、ユーザの操作を受け付けてその操作に応じた信号を制御部１０１に供給する操作部とを備えている。 The UI unit 104 includes, for example, a liquid crystal panel and a liquid crystal drive circuit, and includes a display unit for displaying an image according to image data and an operator such as a key or a touch sensor. And an operation unit for supplying a corresponding signal to the control unit 101.
　データ提供者端末２及び利用者端末３のハードウェア構成は、アルゴリズム提供者端末１と同様である。 The hardware configuration of the data provider terminal 2 and the user terminal 3 is the same as that of the algorithm provider terminal 1.
　図３は、情報処理装置４のハードウェア構成を例示する図である。情報処理装置４は、制御部４０１と、通信部４０２と、記憶部４０３とを備えている。制御部４０１は、ＣＰＵなどの演算装置と、ＲＯＭ及びＲＡＭ）などの記憶装置とを備えている。ＣＰＵは、ＲＡＭをワークエリアとして用いてＲＯＭや記憶部４０３に記憶されたプログラムを実行することによって、情報処理装置４の各部の動作を制御する。 FIG. 3 is a diagram illustrating the hardware configuration of the information processing device 4. The information processing device 4 includes a control unit 401, a communication unit 402, and a storage unit 403. The control unit 401 includes an arithmetic device such as a CPU and a storage device such as a ROM and a RAM. The CPU controls the operation of each unit of the information processing apparatus 4 by executing a program stored in the ROM or the storage unit 403 using the RAM as a work area.
　通信部４０２は、有線又は無線通信網を介してコンピュータ間の通信を行うためのハードウェア（送受信デバイス）であり、例えばネットワークデバイス、ネットワークコントローラ、ネットワークカード、通信モジュールなどともいう。通信部４０２は、通信網５に接続されている。 The communication unit 402 is hardware (transmission / reception device) for performing communication between computers via a wired or wireless communication network, and is also called, for example, a network device, a network controller, a network card, a communication module, or the like. The communication unit 402 is connected to the communication network 5.
　記憶部４０３は、コンピュータ読み取り可能な記録媒体であり、例えば、ＣＤ－ＲＯＭなどの光ディスク、ハードディスクドライブ、フレキシブルディスク、光磁気ディスク（例えば、コンパクトディスク、デジタル多用途ディスク、Ｂｌｕ－ｒａｙ（登録商標）ディスク）、スマートカード、フラッシュメモリ（例えば、カード、スティック、キードライブ）、フロッピー（登録商標）ディスク、磁気ストリップなどの少なくとも１つで構成されてもよい。記憶部４０３は、補助記憶装置と呼ばれてもよい。記憶部４０３は、制御部４０１が用いるデータ群やプログラム群を記憶している。 The storage unit 403 is a computer readable recording medium, and for example, an optical disk such as a CD-ROM, a hard disk drive, a flexible disk, a magneto-optical disk (for example, a compact disk, a digital versatile disk, Blu-ray (registered trademark) The memory card may be configured of at least one of a disk), a smart card, a flash memory (for example, a card, a stick, a key drive), a floppy (registered trademark) disk, a magnetic strip, and the like. The storage unit 403 may be called an auxiliary storage device. The storage unit 403 stores data groups and program groups used by the control unit 401.
　図４は、情報処理結果提供システム１０の機能構成を例示する図である。情報処理結果提供システム１０は、アルゴリズム提供者端末１から提供されるアルゴリズムを取得するアルゴリズム取得部４１と、データ提供者端末２から提供されるデータセットを取得するデータ取得部４２と、取得されたアルゴリズム及びデータセットを用いた処理を行う処理部４３と、処理部４３により処理された情報を利用者端末３に提供する提供部４４と、利用者から支払われる金銭の少なくとも一部に相当する金銭をアルゴリズム提供者又はデータ提供者に支払うための処理を行う課金処理部４５とを備える。さらに、上記処理部４３は、取得されたアルゴリズム及びデータセットを用いた処理を行ってモデルを生成するモデル生成部４３１と、生成されたモデルを用いて利用者から提供される入力データを処理し、当該処理の結果に応じた結果情報を生成する結果情報生成部４３２とを備える。図４の例では、アルゴリズム取得部４１、データ取得部４２、処理部４３、提供部４４及び課金処理部４５は情報処理装置４に実装されている。これらの機能は、情報処理装置４の制御部４０１がプログラムを実行することにより実現される。 FIG. 4 is a diagram illustrating the functional configuration of the information processing result providing system 10. The information processing result providing system 10 includes an algorithm acquisition unit 41 for acquiring an algorithm provided from the algorithm provider terminal 1, a data acquisition unit 42 for acquiring a data set provided from the data provider terminal 2, and A processing unit 43 that performs processing using an algorithm and a data set, a providing unit 44 that provides the user terminal 3 with information processed by the processing unit 43, and money corresponding to at least a portion of money paid by the user And an accounting processor 45 for performing processing for paying the algorithm provider or the data provider. Further, the processing unit 43 performs processing using the acquired algorithm and data set to generate a model, and the input data provided by the user using the generated model. And a result information generation unit 432 that generates result information according to the result of the process. In the example of FIG. 4, the algorithm acquisition unit 41, the data acquisition unit 42, the processing unit 43, the providing unit 44, and the charging processing unit 45 are implemented in the information processing device 4. These functions are realized by the control unit 401 of the information processing device 4 executing a program.
　情報処理装置４においては、アルゴリズム提供者端末１から提供された１又は複数のアルゴリズムと、データ提供者端末２から提供された１又は複数のデータセットとが蓄積されている。利用者は例えば利用者端末３を操作して、自身が利用したいアルゴリズム及びデータセットの組み合わせを指定する。この指定に応じて、情報処理装置４の処理部４３は、指定されたアルゴリズム及びデータセットの組み合わせで処理した結果に応じた情報を利用者端末３に提供する。具体的には、モデル生成部４３２が、指定されたアルゴリズム及びデータセットを用いた処理を行ってモデルを生成し、結果情報生成部４３３が、生成されたモデルを用いて、利用者から提供される入力データを処理し、当該処理の結果に応じた結果情報を生成する。提供部４４は、この結果生成された結果情報を利用者端末３に提供する。 In the information processing device 4, one or more algorithms provided by the algorithm provider terminal 1 and one or more data sets provided by the data provider terminal 2 are stored. The user operates, for example, the user terminal 3 to specify a combination of algorithm and data set that he / she wants to use. In response to this designation, the processing unit 43 of the information processing device 4 provides the user terminal 3 with information according to the result of processing by the combination of the designated algorithm and data set. Specifically, the model generation unit 432 performs processing using a designated algorithm and data set to generate a model, and the result information generation unit 433 is provided by the user using the generated model. Process the input data and generate result information according to the result of the process. The providing unit 44 provides the user terminal 3 with the result information generated as a result.
　これらの処理に応じて、課金処理部４５は、利用者から金銭が支払われた後に、当該金銭の少なくとも一部に相当する金銭をアルゴリズム提供者又はデータ提供者に支払うための処理を行う。具体的には、利用者が例えば利用者端末３を操作して、情報処理装置４の管理者に上記金銭を支払うための手続きを行う。課金処理部４５は、この金銭を原資にして、アルゴリズム提供者又はデータ提供者に金銭を支払うための処理を行う。このとき、利用者から支払われる金銭は、処理部４３が処理に用いたアルゴリズム又はデータセット（より具体的には、モデル生成部４３２がモデルを生成するのに用いたアルゴリズム又はデータセット）に応じた額の金銭である。例えば、或るアルゴリズムが多数の利用者により指定(利用)されている場合には、そのアルゴリズムは他のアルゴリズムよりも多くの金銭が支払われる対象となる。同様に、例えば、或るデータセットが多数の利用者により指定（利用）されている場合には、そのデータセットは他のデータセットよりも多くの金銭が支払われる対象となる。つまり、各アルゴリズム又は各データセットの利用について支払われる金銭の額は、例えばそれらのアルゴリズム又はデータセットに対する評価乃至人気の高低によって変わることになる。 In response to these processes, the charge processing unit 45 performs a process to pay money corresponding to at least a part of the money to the algorithm provider or the data provider after the user has paid the money. Specifically, the user operates, for example, the user terminal 3 to perform a procedure for paying the money to the manager of the information processing device 4. The charge processing unit 45 carries out processing for paying money to the algorithm provider or the data provider, using the money as a fund. At this time, the money to be paid by the user is determined according to the algorithm or data set used by the processing unit 43 for processing (more specifically, the algorithm or data set used for generating the model by the model generation unit 432). Amount of money. For example, if an algorithm is designated (used) by a large number of users, the algorithm is targeted to pay more money than other algorithms. Similarly, for example, if a data set is designated (utilized) by a large number of users, that data set is intended to be paid more than the other data sets. That is, the amount of money paid for the use of each algorithm or each data set will vary depending on, for example, the level of evaluation or popularity of those algorithms or data sets.
　情報処理装置４において、アルゴリズム提供者端末１から取得されたアルゴリズム、データ提供者端末２から取得されたデータセット、及び、これらのアルゴリズム及びデータセットによって処理された結果に応じた情報については、各々機密性が維持されるようになっている。具体的には、これらのアルゴリズム、データセット及び処理された結果に応じた情報は、図３の記憶部４０３において、情報処理装置４の管理者がアクセスできない（或いはそのアクセスに特別な権限が必要な）専用の記憶領域に記憶されるようになっている。この専用の記憶領域が、図４に示した処理部４３が有する記憶部４３１である。 In the information processing apparatus 4, each of the algorithm acquired from the algorithm provider terminal 1, the data set acquired from the data provider terminal 2, and information according to the results processed by these algorithm and data set, respectively Confidentiality is to be maintained. Specifically, in the storage unit 403 of FIG. 3, the administrator of the information processing apparatus 4 can not access the information corresponding to the algorithm, the data set and the processed result (or a special authority is required for the access) Is stored in a dedicated storage area. The dedicated storage area is the storage unit 431 included in the processing unit 43 illustrated in FIG.
２．動作
　図５，６は、情報処理結果提供システム１０の動作を例示するフローチャートである。図５において、まず、アルゴリズム取得部４１が、アルゴリズム提供者端末１から通信網５経由でアップロードされてくるアルゴリズムを取得するか、又は、データ取得部４２が、データ提供者端末２から通信網５経由でアップロードされてくるデータセットを取得する（ステップＳ１１）。これらのアルゴリズム及びデータセットには、例えばそのアルゴリズムやデータセットの名称や概要、或いはアルゴリズム提供者やデータ提供者の氏名といった、各種の属性情報が含まれている。処理部４３の記憶部４３１は、このような属性情報を含むアルゴリズム又はデータセットを記憶する（ステップＳ１２）。 2. Operation FIGS. 5 and 6 are flowcharts illustrating the operation of the information processing result providing system 10. In FIG. 5, first, the algorithm acquisition unit 41 acquires an algorithm uploaded from the algorithm provider terminal 1 via the communication network 5, or the data acquisition unit 42 acquires from the data provider terminal 2 the communication network 5. The data set uploaded via the network is acquired (step S11). These algorithms and data sets include various attribute information such as names and outlines of the algorithms and data sets, or names of algorithm providers and data providers. The storage unit 431 of the processing unit 43 stores an algorithm or data set including such attribute information (step S12).
　次に、処理部４３のモデル生成部４３２は、取得されたアルゴリズム及びデータセットを用いた処理を行ってモデルを生成する（ステップＳ１３）。処理部４３の記憶部４３１は、生成されたモデルを、その生成に用いたアルゴリズム及びデータセットと対応付けて記憶する（ステップＳ１４）。 Next, the model generation unit 432 of the processing unit 43 performs processing using the acquired algorithm and data set to generate a model (step S13). The storage unit 431 of the processing unit 43 stores the generated model in association with the algorithm and data set used for the generation (step S14).
　次に、図６において、処理部４３は、利用者端末３に対して、記憶部４３１に記憶されているモデルの一覧を通信網５経由で提供する（ステップＳ３１）。この一覧には、各モデルを生成するのに用いたアルゴリズムやデータセットの名称や概要或いはアルゴリズム提供者又はデータ提供者の氏名といった各種の属性情報が含まれている。利用者は、利用者端末３に表示された一覧を閲覧し、さらに各々の属性情報を参考にして、自身が用意した入力データに適合するモデルを探す。そして、利用者は、利用者端末３を操作して所望のモデルを指定し、そのモデルを用いた処理を要求する。この操作に応じて、利用者端末３は、利用者により指定されたモデルを特定する識別情報と、利用者によって用意された入力データとを含む処理要求を情報処理装置４に送信する。 Next, in FIG. 6, the processing unit 43 provides the user terminal 3 with a list of models stored in the storage unit 431 via the communication network 5 (step S31). This list includes various attribute information such as the name and outline of the algorithm and data set used to generate each model, and the name of the algorithm provider or the data provider. The user browses the list displayed on the user terminal 3, and further refers to each attribute information to search for a model that matches the input data prepared by the user. Then, the user operates the user terminal 3 to specify a desired model, and requests processing using the model. In response to this operation, the user terminal 3 transmits to the information processing apparatus 4 a processing request including identification information for specifying a model designated by the user and input data prepared by the user.
　情報処理装置４の処理部４３は、処理要求を受信すると（ステップＳ３２；ＹＥＳ）、指定されたモデル及び受信した入力データを用いた処理を行う（ステップＳ３３）。具体的には、結果情報生成部４３３が、指定されたモデルを用いて入力データを処理し、当該処理の結果に応じた結果情報を生成する（ステップＳ３４）。提供部４４は、この結果生成された結果情報を利用者端末３に提供する（ステップＳ３５）。課金処理部４５は、利用者から支払われる金銭の少なくとも一部に相当する金銭をアルゴリズム提供者又はデータ提供者に支払うための処理を行う（ステップＳ３６）。 When the processing unit 43 of the information processing device 4 receives the processing request (Step S32; YES), the processing unit 43 performs processing using the designated model and the received input data (Step S33). Specifically, the result information generation unit 433 processes the input data using the designated model, and generates result information according to the result of the process (step S34). The providing unit 44 provides the result information generated as a result to the user terminal 3 (step S35). The charge processing unit 45 performs processing for paying money corresponding to at least a part of money paid from the user to the algorithm provider or the data provider (step S36).
　以上説明した本実施形態によれば、コンピュータ上で動作するアルゴリズムを用いて行った処理の結果を第三者に提供することが可能となる。 According to the present embodiment described above, it is possible to provide a third party with the result of processing performed using an algorithm operating on a computer.
３．変形例
　本発明は上述の実施形態に限定されるものではなく、種々の変形実施が可能である。例えば金銭の支払いに関する構成及び動作は実施形態の例に限定されない。具体的には、情報処理装置４は、利用者から金銭が徴収した後にアルゴリズム提供者又はデータ提供者に金銭を支払うのではなく、先にアルゴリズム提供者又はデータ提供者に金銭を支払ってから利用者から金銭を徴収してもよい。また、金銭の額の決め方も任意の手法を採用し得る。 3. Modifications The present invention is not limited to the embodiments described above, and various modifications are possible. For example, the configuration and operation regarding payment of money is not limited to the example of the embodiment. Specifically, the information processing apparatus 4 does not pay money to the algorithm provider or the data provider after money is collected from the user, but first pays the algorithm provider or the data provider before using it You may collect money from the Moreover, how to decide the amount of money also can adopt an arbitrary method.
　本発明は上述の実施形態に限定されるものではなく、種々の変形実施が可能である。例えば　図４で例示した機能構成の一部は省略されてもよいし、さらに別の機能が追加されてもよい。図４に示した情報処理装置４が備える機能は、情報処理結果提供システム１０に属するいずれかの装置又は端末が実装していればよい。また、物理的に複数の装置からなるコンピュータ装置群が連携して、図４に示した情報処理装置４と同等の機能を実装してもよい。 The present invention is not limited to the embodiments described above, and various modifications are possible. For example, part of the functional configuration illustrated in FIG. 4 may be omitted, and further another function may be added. The functions included in the information processing device 4 illustrated in FIG. 4 may be implemented by any device or terminal belonging to the information processing result providing system 10. In addition, a computer device group physically including a plurality of devices may cooperate with one another to implement the same function as the information processing device 4 illustrated in FIG. 4.
　情報処理結果提供システム１０において行われる処理のステップは、上述した実施形態で説明した例に限定されない。この処理のステップは、矛盾のない限り、入れ替えられてもよい。また、本発明は、情報処理装置４において行われる処理のステップを備える情報所定結果提供方法又は情報処理結果提供システム１０において行われる処理のステップを備える情報所定結果提供方法として提供されてもよい。 The process steps performed in the information processing result providing system 10 are not limited to the examples described in the above embodiments. The steps of this process may be interchanged as long as there is no contradiction. Further, the present invention may be provided as an information predetermined result provision method including steps of processing performed in the information processing apparatus 4 or an information predetermined result provision method including steps of processing performed in the information processing result provision system 10.
　また、各装置及び各端末の制御部により実行されるプログラムは、光ディスク、磁気ディスク、半導体メモリなどの記憶媒体により提供されてもよいし、インターネット等の通信回線を介してダウンロードされてもよい。また、これらのプログラムは、実施形態で説明したすべてのステップを実行させるものでなくてもよい。 The programs executed by the control unit of each device and each terminal may be provided by a storage medium such as an optical disk, a magnetic disk, or a semiconductor memory, or may be downloaded via a communication line such as the Internet. In addition, these programs may not execute all the steps described in the embodiment.

Claims (7)

  1. 　アルゴリズム提供者から提供されるアルゴリズムを取得するアルゴリズム取得手段と、
    　前記アルゴリズム提供者とは異なるデータ提供者から提供されるデータを取得するデータ取得手段と、
    　取得された前記アルゴリズム及び前記データを用いた処理を行う処理手段と、
    　前記アルゴリズム提供者及び前記データ提供者とは異なる利用者からの要求に応じて、前記処理手段により処理された情報を前記利用者に提供する提供手段と
    　を備えることを特徴とする情報処理結果提供システム。     Algorithm acquisition means for acquiring an algorithm provided by an algorithm provider;
    Data acquisition means for acquiring data provided by a data provider different from the algorithm provider;
    Processing means for performing processing using the acquired algorithm and the data;
    Providing information processing means for providing the user with the information processed by the processing means in response to a request from a user different from the algorithm provider and the data provider system.
  2. 　前記利用者から支払われる金銭の少なくとも一部に相当する金銭を前記アルゴリズム提供者又は前記データ提供者に支払うための処理を行う課金処理手段
    　を備えることを特徴とする請求項１記載の情報処理結果提供システム。     The information processing result according to claim 1, further comprising a charge processing unit for performing processing for paying the money equivalent to at least a part of the money paid from the user to the algorithm provider or the data provider. Provision system.
  3. 　前記課金処理手段は、前記利用者から金銭が支払われた後に、当該金銭の少なくとも一部に相当する金銭を前記アルゴリズム提供者又は前記データ提供者に支払うための処理を行う
    　ことを特徴とする請求項２記載の情報処理結果提供システム。     The billing processing means performs processing for paying money equivalent to at least a part of the money to the algorithm provider or the data provider after money is paid from the user. The information processing result provision system according to Item 2.
  4. 　前記利用者から支払われる金銭は、前記処理手段が前記アルゴリズム又は前記データに応じた額の金銭である
    　ことを特徴とする請求項２又は３記載の情報処理結果提供システム。     The information processing result providing system according to claim 2 or 3, wherein the money to be paid from the user is a money of the amount according to the processing means or the data.
  5. 　複数の前記アルゴリズムと複数の前記データがあり、
    　前記利用者は前記アルゴリズム及び前記データの組み合わせを指定し、
    　前記提供手段は、指定された前記アルゴリズム及び前記データの組み合わせで前記処理手段により処理された結果に応じた情報を前記利用者に提供する
    　ことを特徴とする請求項１～４のいずれか１項に記載の情報処理結果提供システム。     There are multiple said algorithms and multiple said data,
    The user specifies a combination of the algorithm and the data;
    The said provision means provides the said user with the information according to the result processed by the said process means by the combination of the designated said algorithm and the said data. Information processing result provision system described in.
  6. 　アルゴリズム提供者から提供されるアルゴリズムを取得するアルゴリズム取得ステップと、
    　前記アルゴリズム提供者とは異なるデータ提供者から提供されるデータを取得するデータ取得ステップと、
    　取得された前記アルゴリズム及び前記データを用いた処理を行う処理ステップと、
    　前記アルゴリズム提供者及び前記データ提供者とは異なる利用者からの要求に応じて、前記処理ステップにより処理された情報を前記利用者に提供する提供ステップと
    　を備えることを特徴とする情報処理結果提供方法。     An algorithm acquisition step of acquiring an algorithm provided by an algorithm provider;
    A data acquisition step of acquiring data provided by a data provider different from the algorithm provider;
    A processing step of performing processing using the acquired algorithm and the data;
    Providing the information processed by the processing step to the user in response to a request from the algorithm provider and a user different from the data provider. Method.
  7. 　コンピュータに、
    　アルゴリズム提供者から提供されるアルゴリズムを取得するアルゴリズム取得ステップと、
    　前記アルゴリズム提供者とは異なるデータ提供者から提供されるデータを取得するデータ取得ステップと、
    　取得された前記アルゴリズム及び前記データを用いた処理を行う処理ステップと、
    　前記アルゴリズム提供者及び前記データ提供者とは異なる利用者からの要求に応じて、前記処理ステップにより処理された情報を前記利用者に提供する提供ステップと
    　を実行させるためのプログラム。     On the computer
    An algorithm acquisition step of acquiring an algorithm provided by an algorithm provider;
    A data acquisition step of acquiring data provided by a data provider different from the algorithm provider;
    A processing step of performing processing using the acquired algorithm and the data;
    A program for causing the user to provide the information processed by the processing step in response to a request from a user different from the algorithm provider and the data provider.
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