WO2017090678A1 - 情報処理システム、及び情報処理方法 - Google Patents

情報処理システム、及び情報処理方法 Download PDF

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Publication number
WO2017090678A1
WO2017090678A1 PCT/JP2016/084793 JP2016084793W WO2017090678A1 WO 2017090678 A1 WO2017090678 A1 WO 2017090678A1 JP 2016084793 W JP2016084793 W JP 2016084793W WO 2017090678 A1 WO2017090678 A1 WO 2017090678A1
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WO
WIPO (PCT)
Prior art keywords
information
property
image
entry
evaluation
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Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2016/084793
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English (en)
French (fr)
Japanese (ja)
Inventor
陽太 石田
陽司 清田
剛 秋山
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NEXT CO Ltd
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NEXT CO Ltd
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Filing date
Publication date
Application filed by NEXT CO Ltd filed Critical NEXT CO Ltd
Priority to EP16868621.0A priority Critical patent/EP3382573A4/en
Priority to US15/778,960 priority patent/US20180365778A1/en
Publication of WO2017090678A1 publication Critical patent/WO2017090678A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q50/16—Real estate
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning

Definitions

  • Some aspects according to the present invention relate to an information processing system and an information processing method.
  • Patent Document 1 discloses a system that enables a preview from a terminal device of a person who wants to move in using a camera installed in a rental house.
  • a service that provides information on each property on the Internet using various images associated with the property such as a floor plan of the residence, a photo of the residence, and a photograph of the neighborhood environment, is also considered.
  • One information processing system manages a plurality of images related to a property together with image evaluation information that represents a target of an image, which is assigned using a first evaluation model generated by machine learning, Means for managing an entry evaluation value for each entry representing the plurality of properties calculated using one or more of the image evaluation information respectively associated with the plurality of properties, and according to the entry evaluation value Means for outputting a list of the entries relating to the plurality of properties, the order of which is determined.
  • One information processing system manages a plurality of images related to a property together with image evaluation information representing an object of an image, which is assigned using an evaluation model generated by machine learning, and the image Means for managing a plurality of entries representing a plurality of properties, each of which is associated with an image to which evaluation information is assigned, and the plurality of images including images indicating objects having different specifications in a specified type based on the image evaluation information Means for outputting a list of entries.
  • One information processing method includes a step of managing a plurality of images related to a property together with image evaluation information representing a target of an image, which is assigned using a first evaluation model generated by machine learning, A step of managing an entry evaluation value for each entry representing the plurality of properties calculated using one or more of the image evaluation information respectively associated with the plurality of properties, and according to the entry evaluation value
  • the information processing system performs means for outputting a list of the entries related to the plurality of properties, the order of which is determined.
  • One information processing method includes a step of managing a plurality of images related to a property together with image evaluation information representing an object of an image, which is given using an evaluation model generated by machine learning, and the image Managing a plurality of entries representing a plurality of properties, each of which is associated with an image to which evaluation information has been assigned, and the plurality of images including images indicating targets having different specifications in a specified type based on the image evaluation information
  • the information processing system performs a step of outputting a list of entries.
  • “part”, “means”, “apparatus”, and “system” do not simply mean physical means, but “part”, “means”, “apparatus”, “system”. This includes the case where the functions possessed by "are realized by software. Further, even if the functions of one “unit”, “means”, “apparatus”, and “system” are realized by two or more physical means or devices, two or more “parts” or “means”, The functions of “device” and “system” may be realized by a single physical means or device.
  • FIGS. 1 to 7 are diagrams for explaining the embodiment. Hereinafter, embodiments will be described along the following flow with reference to these drawings.
  • First, an outline of the property information providing system according to the embodiment will be described with “1”.
  • a specific example of the database configuration managed by the property information providing server configuring the property information providing system will be described in “2”.
  • “3” describes the functional configuration of the property information providing server
  • “4” describes the processing flow of the property information providing server.
  • “5” a specific example of a hardware configuration capable of realizing the property information providing server will be described.
  • the effects and the like according to the present embodiment will be described after “6”.
  • the property information providing system 1 includes a property information providing server 100 and information terminals T1 to Tn (hereinafter collectively referred to as information terminals T).
  • the property information providing server 100 and the information terminal T are connected to the network N by wire or wireless, and can communicate with each other via the network N.
  • Users U1 to Un hereinafter collectively referred to as user U
  • the property information providing server 100 includes a database (DB) 110 that manages property information, and provides, for example, a large number of property information as websites to the information terminal T connected to the network N that is the Internet. provide.
  • the property for which the property information providing server 100 provides information can include, for example, a variety of products such as a detached house including a newly built / used property, a real estate for renting / buying a condominium, and an automobile.
  • DB database
  • the condition is transmitted from the information terminal T to the property information providing server 100.
  • the property information providing server 100 searches for properties that match the conditions, generates a web page related to a list of property information related to those properties, and transmits the information on the web page to the information terminal T. Thereby, the user U can confirm property information.
  • the property that the property information providing server 100 provides information will be described with a focus on the case where the property is related to a residence such as a detached house or a condominium.
  • the property information providing server 100 manages information on each property to be provided to the information terminal T on the database.
  • information regarding each property managed by the property information providing server 100 is referred to as a property entry.
  • the property information providing server 100 by evaluating the property based on the image included in each property entry, the property information providing server 100 generates a property entry list in a suitable order and presents it to the user U via the information terminal T. Can do.
  • the property information providing server 100 manages the property entry 200 corresponding to each property for which information is to be provided.
  • FIG. 2 shows a specific example of the database configuration of the property entries 200a to 200n (hereinafter collectively referred to as the property entry 200) managed by the property information providing server 100.
  • Each property entry 200 includes property detailed information 201 (the property detailed information 201a to 201n is collectively referred to as the property detailed information 201), and an image 203 (the images 203a1 to 203ap and 203n1 to 203nq are collectively referred to as the image 203).
  • Entry evaluation information 207 entity evaluation information 207a to 207n are collectively referred to as entry evaluation information 207) and inquiry number information 209 (inquiry number information 209a to 209n are collectively referred to as inquiry number information 209).
  • Each image 203 is associated with object information 205 (object information 205a1 to 205ap and 205n1 to 205nq are collectively referred to as object information 205).
  • the property detail information 201 is information such as specifications related to the property indicated by the property entry 200. If the property is real estate, for example, the property detail information 201 includes information such as the nearest station, distance from the nearest station, location, date of construction, main lighting surface, exclusive area, balcony area, floor plan, etc. Can be included.
  • the image 203 relates to the property indicated by the property entry 200.
  • the image 203 can include an appearance image, a floor plan, a room photo of each of the living room, kitchen, bathroom, toilet, etc., a photo of a shared part such as an entrance or a common facility, and a photo of a nearby park or supermarket. .
  • the object information 205 is associated with each image 203.
  • the object information 205 is information indicating what is the object shown in each image 203.
  • the object information 205 is generated by inputting the image 203 into an evaluation model generated by machine learning.
  • the generated object information 205 is given to the image 203.
  • the evaluation model is, for example, as correct data, the image 203 and type information indicating what the image 203 is the subject (for example, floor plan, kitchen, living room, bathroom, toilet, external view, peripheral public facility, peripheral commercial facility) , Tag information such as road, character information, etc.).
  • the object information 205 may be a vector indicating the likelihood of each object, or the object having the largest value among the certainty of each object expressed as each parameter in the vector. It is good also as tag information regarding the thing exceeding the threshold value. In the latter case, for example, when the value of kitchenness is the largest among the parameters in the vector and exceeds the threshold value, the image 203 is a picture relating to the kitchen, and tag information of the type “kitchen” The object information 205 is given to the image 203.
  • the entry evaluation information 207 is evaluation value information used when evaluating the property entry 200.
  • the entry evaluation information 207 can be generated according to the image 203 associated with the property entry 200.
  • the entry evaluation information 207 represents, for example, the number of image types. The types are, for example, “1: floor plan”, “2: kitchen”, “3: living room”, “4: bathroom”, “5: toilet”, “6: exterior view”, “7: neighboring public facilities”, “8: Surrounding commercial facilities”, “9: Road”, “10: Text information”, and “11: Others” not corresponding to any of them.
  • the kitchen entry 200 includes a plurality of images in each category, such as two images of the kitchen and three images of the living room, the kitchen entry is 1 point and the living category is 1 point.
  • a total of 2 points representing Equation 2 is obtained. More specifically, it is conceivable to increase the evaluation value of the image 203 having a large number of types, not the number of images 203 associated therewith.
  • an image relating to the property specification for example, a floor plan, an image representing the interior of the property such as a kitchen, a living room, a bathroom, and a toilet, is evaluated or scored, and other images such as an external view and surrounding public
  • For property entry 200 that contains various types of information useful for understanding property specifications (for example, internal specifications) by performing processing such as not evaluating or deducting points for facilities, nearby commercial facilities, roads, character information, etc.
  • the entry evaluation information 207 can be set to be highly evaluated.
  • Internal specifications can also include property-specific information such as property building materials, design and construction methods.
  • the evaluation value may be increased when a large number of images 203 expressing the contents of the property indicated by the property entry 200 in an easy-to-understand manner are included. More specifically, for example, the property entry 200 associated with a lot of floor plans and images 203 related to indoor photos is compared to the property entry 200 associated with a large number of images 203 related to a neighboring environment such as a supermarket or a park. However, it can be highly appreciated.
  • Such entry evaluation information 207 indicating an evaluation value evaluated according to the object of the image 203 associated with the property entry 200 can be calculated based on the object information 205.
  • the inquiry number information 209 is information on the number of inquiries from the user U for the property represented by the property entry 200.
  • the number of inquiries 209 may include the number of document requests, the number of calls received, the number of times the user U has accessed the detailed page of the property entry 200, and the like. It is also conceivable to calculate the entry evaluation information 207 of the property entry 200 based on the inquiry number information 209. In addition to or in addition to the number of inquiries, the level or number of review evaluations may be used.
  • FIG. 3 is a functional block diagram illustrating a specific example of a functional configuration of the property information providing server 100.
  • the property information provision server 100 includes an image evaluation unit 101, a property entry evaluation unit 103, a property information provision unit 105, a property information registration unit 107, and a database (DB) 110.
  • DB database
  • each function of the property information providing server 100 is not necessarily realized by one computer, and may be realized by a plurality of computers.
  • the image evaluation unit 101 and the property entry evaluation unit 103, the property information providing unit 105, and the property information registration unit 107 may be realized by different computers.
  • the image evaluation unit 101 receives input of each image registered in the DB 110, and generates object information 205 indicating what the object of each image is.
  • the image evaluation unit 101 includes an evaluation model generated by machine learning such as deep learning.
  • machine learning such as deep learning.
  • the image 203 When generating the evaluation model constituting the image evaluation unit 101, as described above, as the correct answer data, the image 203 and information manually indicating the subject of the image (for example, a floor plan, a kitchen) , Living room, bathroom, toilet, etc., photos of common areas, photos of surrounding supermarkets, schools, parks, etc.).
  • Such subject information may be added to the image 203 manually by crowdsourcing, for example.
  • the image evaluation unit 101 generates the object information 205 for each image 203 registered in the DB 110 by using the evaluation model generated in this way. More specifically, when the image 203 is input to the image evaluation unit 101, the image evaluation unit 101 outputs a vector composed of parameters indicating the object-likeness of each image 203 for each object. The image evaluation unit 101 assigns, to the image 203, tag information indicating the object-likeness or a tag information indicating the object of the image 203 as a character string determined based on the vector.
  • the image evaluation unit 101 may evaluate (specify) the specifications (form, manufacturer, product name, model number, etc.) of the object (article) of the image 203. For example, for the image 203 in which the object is a kitchen, whether the specification of the kitchen is a system kitchen, whether it is an island type, an L shape, a product name of XX company, etc. Can be evaluated by the image evaluation unit 101. For example, for the toilet, it is conceivable that the image evaluation unit 101 identifies whether the toilet is a flush valve tank toilet, a low tank toilet, or a tankless toilet. Also in the discrimination, for example, the image data as the correct data tagged or in advance what articles may generate an evaluation model by machine learning, such as deep learning. The article information discriminated by the image evaluation unit 101 in this way can be included in the object information 205.
  • the property entry evaluation unit 103 evaluates each property entry 200 based on the image 203 associated with the property entry 200 and registers the evaluation result in the DB 110 as entry evaluation information 207.
  • the evaluation model in which the property entry evaluation unit 103 evaluates the property entry 200 may be generated by an empirical rule, or may be generated by machine learning such as deep learning. In the evaluation model generated according to the rule of thumb, for example, when it can be determined that the property entry 200 includes a large number of images 203 relating to room photographs and floor plans, the evaluation value is high. Can be designed so that the evaluation value is low when the ratio of the image 203 such as a photograph of the neighboring environment is high. By doing so, it is possible to lower the evaluation of the property entry 200 where it is difficult for the user U to grasp the state of the room from the image, and to increase the evaluation of the property entry 200 where the state of the room is easy to judge from the photograph.
  • the property entry evaluation unit 103 may be generated so as to highly evaluate the property entry 200 associated with the images 203 related to such various types of objects.
  • an evaluation model can be generated by machine learning so that a similar property entry 200 is highly evaluated.
  • an evaluation model is generated by preparing a large number of correct answer data in which the object information 205 and the order of the image 203 associated with the property entry 200 are associated with the inquiry number information.
  • an evaluation model for evaluating the combination and order of the images 203 that can receive a large number of inquiries from the user U is generated.
  • the evaluation value of the property entry 200 can be calculated according to the type and order of the images 203 of the property entry 200 arbitrarily registered.
  • the property entry evaluation unit 103 registers the evaluation value as entry evaluation information 207 in the DB 110.
  • the property information providing unit 105 provides a user interface function for providing property information to the user U by transmitting and receiving data to and from the information terminal T. At this time, for example, the property information providing unit 105 transmits a web page serving as a user interface to the information terminal T, and the information terminal T displays the web page screen using, for example, a browser. Information input by the user U on the screen is transmitted from the information terminal T to the property information providing unit 105 of the property information providing server 100. For example, when outputting a list of property entries 200, the property information providing unit 105 generates a list of property entries 200 based on the entry evaluation information 207, for example. Thereby, for example, the property entries 200 that match the conditions input by the user U can be arranged in descending order of evaluation values expressed by the entry evaluation information 207.
  • the property information providing unit 105 can also display a list of property entries similar to the property on the detailed screen of the property entry 200 selected by the user U. At this time, for example, if the type of the image whose viewing time tends to be longer than the other images among the images of the target property displaying the details is the kitchen, the user U will “focus on the kitchen. For example, the property information providing unit 105 can output a list of property entries 200 related to properties having different types of “kitchen” items, while the overall specifications such as area and area are approximate. .
  • the browsing time of images to determine the type and article that the user is paying attention to, the opportunity learning using the browsing frequency etc. obtained by analyzing the search history operation log etc.
  • the property information providing unit 105 can realize the function by referring to information related to the specification of the object included in the object information 205.
  • the property information registration unit 107 transmits / receives data to / from an information terminal T used by a user who is a real estate agent, or receives input from an input interface provided in the property information providing server 100.
  • the registration of the new property entry 200 is accepted.
  • the image evaluation unit 101 gives the object information 205 to the image 203, or the property entry evaluation unit 103 gives the entry evaluation information 207.
  • the property information registration unit 107 can evaluate what the target of the image 203 is by causing the property evaluation unit 101 to evaluate the image 203 registered by the user who is a real estate agent. At this time, it is also conceivable that tag information candidates such as “kitchen” and “bath” are presented to the user according to the evaluation result, and the user selects arbitrary tag information. In this case, the tag information selected by the user is registered in the DB 110 by the property information registration unit 107 as the object information 205.
  • the database 110 manages the property entry 200 corresponding to each property.
  • the property detail information 201, the image 203, the object information 205, the entry evaluation information 207, and the inquiry number information 209 that are directly or indirectly associated with the property entry 200 in the DB 110 are described above with reference to FIG. Description is omitted.
  • FIGS. 4 to 6 are flowcharts showing a processing flow of the property information providing server 100 according to the present embodiment.
  • Each processing step to be described later can be executed in any order or in parallel as long as there is no contradiction in processing contents, and other steps can be added between the processing steps. good. Further, a step described as a single step for convenience can be executed by being divided into a plurality of steps, and a step described as being divided into a plurality of steps for convenience can be executed as one step.
  • the property terminal 200 accesses the property information providing server 100 from the information terminal T and registers the property entry 200 from the property information providing server 100.
  • a web page related to the registration screen is transmitted from the property information providing server 100 to the information terminal T.
  • the property information providing server 100 accepts the input of the property detail information 201 and the image 203 from the information terminal T (S401 and S403).
  • the image evaluation unit 101 of the property information providing server 100 receives the input of the input image 203, thereby generating target object information 205 indicating what the target of the image 203 is (S405).
  • the image evaluation unit 101 associates the object information 205 with the image 203 and registers it in the DB 110.
  • the property entry evaluation unit 103 generates entry evaluation information 207 indicating how much the property entry 200 includes the image 203 that attracts the user U based on the object information 205 associated with the image 203.
  • the entry evaluation information 207 is associated with the property entry 200 and registered in the DB 110 (S409). Whether or not the image is attracted, that is, whether or not the satisfaction level is high is determined to be attracted, for example, when the length of the browsing time of the target image exceeds a predetermined reference time.
  • the property information registration unit 107 proposes the order of the images 203 to the user by sequentially analyzing the images 203 registered by the user. As this method, for example, the image evaluation unit 101 evaluates the registered image 203 to determine what the target is, and presents information on the target to the user. Further, the property entry evaluation unit 103 discriminates by learning the order or combination of the images 203 in which the evaluation value for the property entry 200 is high, and the property information registration unit 107 transmits the order or combination to the information terminal T. This can be realized by proposing to the user above.
  • the property information providing server 100 is accessed using the information terminal T, and a web page related to a search condition input screen is displayed from the property information providing server 100 to the information terminal.
  • the property information providing unit 105 of the property information providing server 100 accepts the input of the search condition (S501).
  • the property information providing unit 105 of the property information providing server 100 Based on the search condition received from the information terminal T, the property information providing unit 105 of the property information providing server 100 extracts a property entry 200 registered in the DB 110 that matches the condition (S503). Further, the property information providing unit 105 generates a property entry list in which the extracted property entries 200 are arranged based on the entry evaluation information 207 (S505). Thereby, for example, it becomes possible for the user to place the property entry 200 rich in the types of the images 203 for confirming the property specifications, that is, the state of the interior, at the top of the property entry list. The property information providing unit 105 transmits the generated property entry list to the information terminal T operated by the user U (S507).
  • the property information providing unit 105 transmits a web page related to a detailed screen related to the property entry 200 to the information terminal T. Further, according to the designation by the user U, the property information providing unit 105 accepts the designation of the type of object (for example, kitchen, toilet, bath, etc.) for which a specification different from the property entry 200 displaying the details is required ( S603). Instead of this specification, the specification can be automatically determined by determining whether or not the user satisfaction is high.
  • the property information providing unit 105 refers to the property detail information 201 and the object information 205, and for example, the degree of similarity as a whole property such as an exclusive area or the nearest station is high, but designated.
  • a property entry 200 having a different object specification or similar specification is extracted (S605). Separation with different / similar specifications can be set in the processing of S603. Also accepts different / similar at the time of designated reception. In the case of automatic discrimination, either different or similar is set as a system specification in advance.
  • the property information providing unit 105 transmits the property entry list obtained as a result in S605 to the information terminal T (S607).
  • the property information providing server 100 includes a control unit 701, a communication interface (I / F) unit 705, a storage unit 707, a display unit 711, and an input unit 713, and each unit is a bus. Connected via line 715.
  • I / F communication interface
  • the control unit 701 includes a CPU (Central Processing Unit, not shown), a ROM (Read Only Memory, not shown), a RAM (Random Access Memory) 703, and the like.
  • the control unit 701 is configured to execute the process relating to the above-described property information providing service in addition to the function as a general computer by executing the control program 709 stored in the storage unit 707.
  • the image evaluation unit 101, the property entry evaluation unit 103, the property information providing unit 105, and the property information registration unit 107 described with reference to FIG. 3 are temporarily stored in the RAM 703 and controlled on the CPU.
  • the program 709 can be realized.
  • the RAM 703 stores the property entry 200, property detail information 201, image 203, object information 205, entry evaluation information 207, and inquiry number information 209 shown in FIG. A part or all of the DB 110 is temporarily held.
  • the RAM 703 is also used as a work area when the CPU executes various processes.
  • the communication I / F unit 705 is a device for performing data communication with an external device including the information terminal T via a wired or wireless network N.
  • the communication I / F unit 705 performs all communications performed by the functional blocks such as the property information providing unit 105 and the property information registration unit 107 illustrated in FIG.
  • the storage unit 707 is a nonvolatile storage medium such as an HDD (Hard Disk Drive) or a flash memory.
  • the storage unit 707 stores an operating system (OS), applications, and data (not shown) for realizing functions as a general computer.
  • the storage unit 707 stores a control program 709 and a DB 110.
  • the image evaluation unit 101, the property entry evaluation unit 103, the property information providing unit 105, and the property information registration unit 107 illustrated in FIG. 3 are included in the control program 709.
  • the DB 110 stores various data necessary for the property information providing service, such as the property entry 200, the property detailed information 201, the image 203, the object information 205, the entry evaluation information 207, and the inquiry number information 209 shown in FIGS. Can be included.
  • Various data included in the DB 110 is loaded into the RAM 703 or the like as necessary, and is referred to by the CPU included in the control unit 701.
  • the display unit 711 is a display device for displaying information to the administrator. Specific examples of the display unit 711 include a liquid crystal display and an organic EL (Electro-Luminescence) display.
  • the input unit 713 is a device for receiving input from the administrator. Specific examples of the input unit 713 include a keyboard, a mouse, and a touch panel.
  • the property information providing server 100 does not necessarily include the display unit 711 and the input unit 713.
  • the display unit 711 and the input unit 713 may be connected to the property information providing server 100 from the outside via various interfaces such as a USB (Universal Serial Bus) and a display port.
  • USB Universal Serial Bus
  • the property information providing system 1 based on the image 203 associated with the property entry 200, an image representing the specification of the property that the user needs for studying the property is suitably used.
  • the prepared property information can be provided preferentially. More specifically, for example, after giving the object 203 object information 205 indicating what the object of the image 203 is, the user U can easily grasp the details of the property based on the object information 205.
  • the property entry 200 associated with the image 203 can be displayed at the top of the list.
  • the object information 205 by adding information indicating what the specification of the object is to the object information 205, for example, a list of property entries 200 relating to other properties with different specifications related to the specific object is generated and presented to the user U It becomes possible to do.
  • Property information provision system 100 Property information provision server 101: Image evaluation unit 103: Property entry evaluation unit 105: Property information provision unit 107: Property information registration unit 110: Database 200: Property entry 201: Property detailed information 203: Image 205: Object information 207: Entry evaluation information 209: Inquiry number information 701: Control unit 703: RAM 705: Communication interface unit 707: Storage unit 709: Control program 711: Display unit 713: Input unit 715: Bus line N: Network T: Information terminal U: User

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PCT/JP2016/084793 2015-11-26 2016-11-24 情報処理システム、及び情報処理方法 Ceased WO2017090678A1 (ja)

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EP16868621.0A EP3382573A4 (en) 2015-11-26 2016-11-24 INFORMATION PROCESSING SYSTEM AND INFORMATION PROCESSING METHOD
US15/778,960 US20180365778A1 (en) 2015-11-26 2016-11-24 Information processing system and information processing method

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