JP7027606B1 - Information processing equipment, information processing methods and information processing programs - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve the efficiency of data amount and to promote improvement of accuracy of estimating a display order suitable for an individual user in a process using data of another site. An information processing apparatus according to the present application includes an acquisition unit, a classification unit, a determination unit, and a provision unit. The acquisition unit acquires user information of a user who has common identification information in the first electronic shopping district and the second electronic shopping district. The classification unit classifies users based on the user information acquired by the acquisition unit and the cluster information of the first electronic shopping district. The determination unit is in the display order of the product list provided to the user in the second electronic shopping district based on the classification result classified by the classification unit, the user information, and the search information searched by the user in the second electronic shopping district. To decide. The providing unit provides information for displaying the product list based on the display order determined by the determining unit. [Selection diagram] FIG. 4

Description

The present invention relates to an information processing apparatus, an information processing method and an information processing program.

Conventionally, there is known a technique of providing various services to a user and estimating a user's feature amount by analyzing user information obtained by using the service. For example, a technique is known in which individual analysis results of different services are integrated and used for estimation of features.

Japanese Patent No. 6703572

However, in the conventional technology, there is room for further improvement in order to improve the efficiency of the amount of data and to promote the improvement of the accuracy of estimating the display order suitable for each user in the processing using the data of other sites. was there.

The present application has been made in view of the above, and promotes the efficiency of the amount of data and the improvement of the accuracy of estimating the display order suitable for each user in the processing using the data of other sites. The purpose is.

The information processing apparatus according to the present application includes an acquisition unit for acquiring user information of a user having common identification information in the first electronic shopping district and the second electronic shopping district, user information acquired by the acquisition unit, and the above-mentioned. Based on the cluster information of the first electronic shopping district, the classification unit that classifies the user, the classification result classified by the classification unit, the user information, and the user searched in the second electronic shopping district. To display the product list based on the determination unit that determines the display order of the product list provided to the user in the second electronic shopping district based on the search information and the display order determined by the determination unit. It is characterized by having a providing unit that provides information on the above.

According to one aspect of the embodiment, in the processing using the data of another site, it is possible to improve the efficiency of the data amount and promote the improvement of the accuracy of estimating the display order suitable for each user. Play.

FIG. 1 is a diagram showing a configuration example of an information processing system according to an embodiment. FIG. 2 is a diagram showing an example of information processing according to an embodiment. FIG. 3 is a diagram showing a configuration example of the terminal device according to the embodiment. FIG. 4 is a diagram showing a configuration example of the information processing apparatus according to the embodiment. FIG. 5 is a diagram showing an example of a user information storage unit according to an embodiment. FIG. 6 is a diagram showing an example of a product information storage unit according to an embodiment. FIG. 7 is a diagram showing an example of a cluster information storage unit according to an embodiment. FIG. 8 is a diagram showing a configuration example of the first management server according to the embodiment. FIG. 9 is a diagram showing a configuration example of the second management server according to the embodiment. FIG. 10 is a flowchart showing an example of information processing according to the embodiment. FIG. 11 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device.

Hereinafter, an information processing apparatus, an information processing method, and an embodiment for implementing an information processing program (hereinafter referred to as “embodiments”) according to the present application will be described in detail with reference to the drawings. Note that this embodiment does not limit the information processing apparatus, information processing method, and information processing program according to the present application. Further, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicate explanations are omitted.

(Embodiment)
[1. Information processing system configuration]
The information processing system 1 shown in FIG. 1 will be described. As shown in FIG. 1, the information processing system 1 includes a terminal device 10, an information processing device 100, a first management server 200, and a second management server 300. The terminal device 10, the information processing device 100, the first management server 200, and the second management server 300 are connected to each other via a predetermined communication network (network N) so as to be communicable by wire or wirelessly. FIG. 1 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. The information processing system 1 shown in FIG. 1 includes a plurality of terminal devices 10, a plurality of information processing devices 100, a plurality of first management servers 200, and a plurality of second management servers 300. May be included.

The terminal device 10 is an information processing device used by the user. The terminal device 10 may be any device as long as the processing in the embodiment can be realized. Further, the terminal device 10 may be a device such as a smartphone, a tablet terminal, a notebook PC, a desktop PC, a mobile phone, or a PDA. In the example shown in FIG. 2, a case where the terminal device 10 is a smartphone is shown.

The terminal device 10 is, for example, a smart device such as a smartphone or a tablet, and is a mobile terminal device capable of communicating with an arbitrary server device via a wireless communication network such as 3G (Generation) or LTE (Long Term Evolution). Is. Further, the terminal device 10 is a screen of a liquid crystal display or the like, and has a screen having a touch panel function, and various types of display data such as contents such as tap operation, slide operation, scroll operation, etc. from the user by a finger, stylus, or the like. You may accept the operation of.

In FIG. 2, the terminal device 10 is used by the user U11. Further, in the following, the terminal device 10 may be referred to as a user. That is, in the following, the user can be read as the terminal device 10.

The information processing device 100 is an information processing device for improving the efficiency of the amount of data and improving the accuracy of estimating the display order suitable for each user in the processing using the data of other sites. For example, it is realized by a server device, a cloud system, or the like. For example, the information processing apparatus 100 displays the display order of the product list provided to the user in another electronic shopping district based on the classification result classified based on the user information and the cluster information in the predetermined electronic shopping district. Has the function of determining.

The first management server 200 is an information processing device for managing a predetermined electronic shopping street (hereinafter, appropriately referred to as “first electronic shopping street”) provided by the first management server 200, and is, for example, a server. It is realized by devices and cloud systems. For example, the first management server 200 has a function of providing cluster information of the first electronic shopping district.

The second management server 300 is an information processing device for managing a predetermined electronic shopping street (hereinafter, appropriately referred to as “second electronic shopping street”) provided by the second management server 300, and is, for example, a server. It is realized by devices and cloud systems. For example, the second management server 300 has a function of providing a list of products that can be purchased in the second electronic shopping district. The product may be of any kind, and examples thereof include clothing and footwear. Further, the administrator of the second management server 300 (for example, a business operator, an operator, a company, etc.) may be the same as or different from the administrator of the first management server 200.

Although FIG. 1 shows a case where the terminal device 10 and the information processing device 100 are separate devices, the terminal device 10 and the information processing device 100 may be integrated. Further, although the case where the information processing device 100 and the first management server 200 are separate devices is shown, the information processing device 100 and the first management server 200 may be integrated. Further, although the case where the information processing apparatus 100 and the second management server 300 are separate devices is shown, the information processing apparatus 100 and the second management server 300 may be integrated. Further, although the case where the first management server 200 and the second management server 300 are separate devices is shown, the first management server 200 and the second management server 300 may be integrated.

[2. An example of information processing]
FIG. 2 is a diagram showing an example of information processing of the information processing system 1 according to the embodiment. In FIG. 2, it is assumed that the proposal is made to the user U11 via the terminal device 10. Further, the user U11 is assumed to have common identification information in the first electronic shopping district and the second electronic shopping district. In other words, it is assumed that the user U11 is connected to the first electronic shopping district and the second electronic shopping district via common identification information. The common identification information is not limited to the case where the identification information is completely the same, and when the identification information is associated with each other, the common identification information is referred to as the common identification information. Further, it is assumed that the user U11 inputs a search query in the second electronic shopping district via the terminal device 10 and performs an operation for searching.

The information processing device 100 acquires the search information of the user U11 transmitted in response to the operation of the user U11 with respect to the terminal device 10 (step S101). The search information is not limited to the query information of the search query input by the user U11 in the second electronic shopping district, and may include any information as long as it is information related to the search behavior at the time of searching by the user U11. .. For example, the search information includes the time searched by the user U11, the total number of times the user U11 searched using a specific search query, and the display order of the product list set by the user U11 at the time of search (for example, price). Information such as high order, new arrival order, popularity order, recommended order, etc. may be included.

Further, the information processing apparatus 100 acquires the user information of the user U11. For example, the information processing apparatus 100 acquires user information including identification information of the user U11 that can be commonly used in the first electronic shopping district and the second electronic shopping district. For example, the information processing apparatus 100 acquires user information including identification information of the user U11 such as "user ID: AAA1". Further, for example, the information processing apparatus 100 acquires user information including behavior information in the first electronic shopping district and the second electronic shopping district.

The information processing apparatus 100 acquires the cluster information of the first electronic shopping street provided from the first management server 200 (step S102). For example, the information processing apparatus 100 obtains cluster information of each cluster in which the plurality of users are clustered based on the user information of a plurality of users who use the first electronic shopping district (for example, behavior information in the first electronic shopping district). get. The clustering may be performed based on any user information. To give a specific example, the information processing apparatus 100 has three clusters of multiple users, with an average purchase price of 1,000 yen, an average purchase price of 10,000 yen, and an average purchase price of 100,000 yen. Acquires the cluster information of each cluster clustered in.

Further, the clustering is not limited to the case where it is performed based on a specific feature amount such as the purchase price of user information, and may be performed based on a plurality of feature amounts. For example, clustering may be performed based on a plurality of features such as purchase price and gender combination. To give a specific example, the information processing apparatus 100 purchases a plurality of users with an average purchase price of 1,000 yen and a male gender, and an average purchase price of 1,000 yen and a female gender, and the purchase price. Is 10,000 yen on average and the gender is male, the purchase price is 10,000 yen on average and the gender is female, the purchase price is 100,000 yen on average and the gender is male, and the purchase price is average. Then, the cluster information of each cluster clustered into six clusters that are 100,000 yen and the gender is female is acquired.

The information processing apparatus 100 classifies the user U11 based on the acquired user information and the cluster information of the first electronic shopping district (step S103). For example, the information processing apparatus 100 classifies the user U11 into a cluster of cluster information having the most similar user information among the cluster information of the first electronic shopping street. Using the above example, when the purchase amount of the user U11 is 2,000 yen on average, the information processing apparatus 100 has a cluster of users with an average purchase amount of 1,000 yen and an average purchase amount of 1,000 yen. Comparing a cluster of users with a purchase price of 10,000 yen and a cluster of users with an average purchase price of 100,000 yen, the purchase price of user U11 is the closest to 1,000 yen, so the purchase price is 1,000 yen on average. Classify user U11 into clusters.

The information processing apparatus 100 acquires the classification result of classifying the user U11. For example, the information processing apparatus 100 acquires the identification information of "CL11" when the identification information of the cluster whose purchase price is 1,000 yen on average is "CL11". If the user information of the user U11 is previously associated with the identification information of a specific cluster as a classification result, the information processing apparatus 100 does not perform the processes of steps S102 and S103, and classifies the user U11. You may get the result. For example, the information processing apparatus 100 stores the classification result of classifying the user U11 by the first management server 200.

The information processing apparatus 100 acquires the product information of the product list that can be purchased in the second electronic shopping district from the second management server 300 (step S104).

The information processing apparatus 100 provides a product provided to the user U11 in the second electronic shopping district based on the classification result of the user U11, the user information of the user U11, and the search information searched by the user U11 in the second electronic shopping district. The display order of the list is determined (step S105). Here, as the display order, for example, the order of high price, the order of new arrival, the order of popularity, the order of recommendation, etc. may be mentioned, but here, the order of recommendation is intended. The order of high price, new arrival, and popularity is determined based on specific indicators such as price, release date, and popularity, but the recommended order is based on ranking learning including search status and purchase status. As it is decided, the recommended order is intended. The display order is not limited to the recommended order as long as it is determined based on ranking learning, and may be any order.

The information processing apparatus 100 includes cluster information based on the classification results of a plurality of users who use the second electronic shopping district, user information of a plurality of users who use the second electronic shopping district, and a second electronic store in the second electronic shopping district. Based on the search information searched by a plurality of users who use the town, a model for determining the display order of the product list provided to the target user in the second electronic shopping street is generated. Specifically, the information processing apparatus 100 generates a model trained as correct answer data as the conversion rate for a predetermined product provided in the second electronic shopping district increases. The predetermined product is not limited to a specific product, and may be a plurality of products. For example, the predetermined product may be all the products included in the predetermined area for displaying the product list. Further, the conversion rate is a conversion rate of a target action (for example, a browsing action, an action to add to a cart, a purchasing action, etc.) to be performed by a target user. The target behavior may be determined in any way, and may be determined, for example, by the manager who manages the second electronic shopping mall. That is, it may depend on the KPI (Key Performance Indicator) required by the manager who manages the second electronic shopping district.

For example, in the same session from the connection to the second electronic shopping street to the disconnection of the information processing apparatus 100, the higher the conversion rate of the browsing behavior for the predetermined product after the impression of the predetermined product, the more the correct answer data is obtained. Generate a trained model. Further, the information processing apparatus 100 generates, for example, a model trained as correct answer data as the conversion rate of the action of adding a predetermined product to the cart after the impression of the predetermined product increases in the same session. Further, the information processing apparatus 100 generates, for example, a model trained as correct answer data as the conversion rate of the purchasing behavior of purchasing a predetermined product increases within a predetermined period after the impression of the predetermined product.

The information processing apparatus 100 generates a model based on the actual value associated with such a predetermined product. For example, the information processing apparatus 100 generates a model based on an actual value such as the number of times a predetermined product has been viewed in the past 14 days. Further, for example, the information processing apparatus 100 combines a plurality of feature quantities to generate a model based on an actual value such as the number of times a user having an attribute such as a man in his twenties has viewed a predetermined product in the past 14 days. In this way, the information processing apparatus 100 generates a model based on the product information associated with the predetermined product. Further, the information processing apparatus 100 is used to provide other product information associated with the predetermined product (for example, price information, category information, user attribute information for the predetermined product such as children / adults and men / women). , Discount information such as discount rate and coupon, release date information) to generate a model. When based on the information on the release date, the information processing apparatus 100 generates a model based on, for example, the number of days elapsed from the release date of the predetermined product to the purchase. Further, the information processing apparatus 100 generates a model based on the degree of similarity between the search query and the product name or brand name of a predetermined product.

The information processing apparatus 100 generates a model based on a combination of cluster information of each cluster of the first electronic shopping street and product information associated with a predetermined product. For example, the information processing apparatus 100 generates a model based on an actual value for each cluster, such as the number of times a plurality of users included in the cluster have viewed a predetermined product in the past 14 days.

The information processing apparatus 100 uses the generated model to determine the display order of the product list provided to the user U11. Specifically, the information processing apparatus 100 determines the display order in which the higher the conversion rate, the higher the display order (priority), based on the conversion rates for the plurality of products provided in the second electronic shopping district.

The information processing apparatus 100 provides the terminal apparatus 10 with information for displaying the product list based on the determined display order (step S106). Then, when the terminal device 10 receives the information provided from the information processing device 100, the terminal device 10 displays the product list in the display order determined by the information processing device 100. Further, when the information processing apparatus 100 acquires the search information for the second electronic shopping district from another user classified as belonging to the same cluster as the user U11 based on the cluster information of the first electronic shopping district. , Information for displaying the product list may be provided to other users based on the display order determined based on the user information of the user U11.

In the above embodiment, the information processing apparatus 100 classifies which cluster the user U11 belongs to based on the cluster information provided by the first management server 200. Here, the information processing apparatus 100 may acquire the classification result of classifying the user U11 by the first management server 200. In this case, the information processing apparatus 100 provides the user information of the user U11 to the first management server 200, and acquires the classification result of the user U11 classified by the first management server 200 from the first management server 200. That is, in the above embodiment, the process of classifying the user U11 may be performed on the server side of the first management server 200.

In the above embodiment, the information processing apparatus 100 acquires the product information of the product list that can be purchased in the second electronic shopping district from the second management server 300, and determines the display order of the product list provided to the user U11. The case was shown. Here, the information processing apparatus 100 may acquire the product information of the product list based on the display order determined by the second management server 300. In this case, the information processing apparatus 100 provides the classification result of the user U11, the user information, and the search information to the second management server 300, and the product information of the product list based on the display order determined by the second management server 300. Is acquired from the second management server 300. That is, in the above embodiment, the process of determining the display order of the product list may be performed on the server side of the second management server 300.

In the above embodiment, the information processing apparatus 100 acquires the cluster information of each cluster in which the plurality of users are clustered, based on the user information of the plurality of users who use the first electronic shopping street. Here, the information processing apparatus 100 obtains the cluster information of each cluster in which a plurality of users who use the first electronic shopping street are clustered, based on the cluster information of each cluster in which a plurality of users who use the second electronic shopping street are clustered. You may get it. In this case, the information processing apparatus 100 acquires user information of a plurality of users who use the second electronic shopping street. Further, the information processing apparatus 100 acquires the cluster information of each cluster in which a plurality of users who use the second electronic shopping street are clustered. Then, the information processing apparatus 100 determines the relationship between the user information of the plurality of users who use the acquired second electronic shopping mall and the cluster information of each cluster in which the acquired plurality of users who use the second electronic shopping mall are clustered. Identify. Then, the information processing apparatus 100 uses the first electronic shopping district based on the relationship between the specified user information of a plurality of users who use the second electronic shopping district and the cluster information of the second electronic shopping district. Generate cluster information for each cluster that clusters multiple users. Then, the information processing apparatus 100 classifies the user U11 based on the generated cluster information of the first electronic shopping street. In addition, when the information processing apparatus 100 acquires the search information for the second electronic shopping district from another user classified as belonging to the same cluster as the user U11 in the second electronic shopping district, the information processing apparatus 100 of the user U11 Information for displaying the product list may be provided to other users based on the display order determined based on the user information.

In the above embodiment, when the cluster information is associated with the identification information of the user U11 in advance, the information processing apparatus 100 may acquire the cluster information according to the identification information of the user U11. Further, the information processing apparatus 100 stores the identification information of a plurality of users who use the first electronic shopping district in association with, for example, the cluster information of the first electronic shopping district generated by the generation unit 133 described later. By setting it, cluster information corresponding to each user who uses the first electronic shopping street may be acquired.

In the above embodiment, the information processing apparatus 100 does not have all the cluster information from the first electronic shopping street, but the cluster information of the cluster to which the user U11 belongs (for example, identification information and label information (such as using 1,000 yen)). Only the user information)) that is the reason for being classified into a cluster may be acquired. Then, the information processing apparatus 100 may control the order of the information provided to the user U11 based on the acquired cluster information and the data of the second electronic shopping mall. When such processing is performed, the information processing apparatus 100 performs a listing in consideration of the behavior in the first electronic shopping district without acquiring the user information (for example, the behavior history) of the user U11 in the first electronic shopping district. It can be realized. Further, the information processing apparatus 100 can protect the privacy of the user U11 in the first electronic shopping district.

In the above embodiment, the information processing apparatus 100 is not limited to the cluster identification information and the label information, and may acquire information obtained by converting these into feature quantities or vectorized information. For example, the information processing apparatus 100 generates a model trained to output the display order desired by the user U11 when the product of the search result, the feature amount and the vector, and the data of the second electronic shopping street are input. You may. Further, for example, in the information processing apparatus 100, when the feature amount and the vector, the data of the second electronic shopping street, and the search query are input for each product and each product category, the desired degree and the purchase degree of the user U11 can be obtained. You may generate a model trained to output the indicated score.

In the above embodiment, various learning data of the model may be generated by crowdsourcing or weighting based on an actual operation history (for example, an operation history such as a click or a tap).

[3. Configuration of terminal equipment]
Next, the configuration of the terminal device 10 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the terminal device 10 according to the embodiment. As shown in FIG. 3, the terminal device 10 has a communication unit 11, an input unit 12, an output unit 13, and a control unit 14.

(Communication unit 11)
The communication unit 11 is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 11 is connected to a predetermined network N by wire or wirelessly, and transmits / receives information to / from the information processing apparatus 100 or the like via the predetermined network N.

(Input unit 12)
The input unit 12 receives various operations from the user. In the example shown in FIG. 2, various operations from the user U11 are accepted. For example, the input unit 12 may accept various operations from the user via the display surface by the touch panel function. Further, the input unit 12 may accept various operations from the buttons provided on the terminal device 10 and the keyboard and mouse connected to the terminal device 10.

(Output unit 13)
The output unit 13 is a display screen of a tablet terminal or the like realized by, for example, a liquid crystal display or an organic EL (Electro-Luminescence) display, and is a display device for displaying various information. For example, the output unit 13 displays the information transmitted from the information processing apparatus 100.

(Control unit 14)
The control unit 14 is, for example, a controller, and various programs stored in a storage device inside the terminal device 10 by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like are RAMs (Random Access Memory). ) Is executed as a work area. For example, the various programs include programs of applications installed in the terminal device 10. For example, the various programs include an application program for displaying information transmitted from the information processing apparatus 100. Further, the control unit 14 is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 3, the control unit 14 has a reception unit 141 and a transmission unit 142, and realizes or executes the operation of information processing described below.

(Receiver 141)
The receiving unit 141 receives various information. The receiving unit 141 receives various information from an external information processing device. The receiving unit 141 receives various information from other information processing devices such as the information processing device 100. For example, the receiving unit 141 receives information for displaying a list of products that can be purchased in the second electronic shopping district.

(Transmitter 142)
The transmission unit 142 transmits various information to an external information processing device. The transmission unit 142 transmits various information to other information processing devices such as the information processing device 100. For example, the transmission unit 142 transmits the search information input by the user in the second electronic shopping district.

[4. Information processing device configuration]
Next, the configuration of the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 4 is a diagram showing a configuration example of the information processing apparatus 100 according to the embodiment. As shown in FIG. 4, the information processing apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The information processing device 100 has an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from the administrator of the information processing device 100, and a display unit (for example, a liquid crystal display, etc.) for displaying various information. You may.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC or the like. Then, the communication unit 110 is connected to the network N by wire or wirelessly, and transmits / receives information to / from the terminal device 10 or the like via the network N.

(Memory unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. As shown in FIG. 4, the storage unit 120 includes a user information storage unit 121, a product information storage unit 122, and a cluster information storage unit 123.

The user information storage unit 121 stores user information. Here, FIG. 5 shows an example of the user information storage unit 121 according to the embodiment. As shown in FIG. 5, the user information storage unit 121 has items such as "user ID" and "user information".

The "user ID" indicates identification information for identifying a user. "User information" indicates user information. For example, the "user information" indicates user information including user identification information, gender information, age information, etc. that can be commonly used in the first electronic shopping district and the second electronic shopping district. In the example shown in FIG. 5, an example in which conceptual information such as "user information # 11" and "user information # 12" is stored in "user information" is shown, but in reality, for example, "user ID: Information such as "AAA1, gender: male, age: 20s" is stored.

That is, FIG. 5 shows an example in which the user information of the user identified by the user ID “U11” is “user information # 11”.

The product information storage unit 122 stores the product information of the product list that can be purchased in the second electronic shopping district. Here, FIG. 6 shows an example of the product information storage unit 122 according to the embodiment. As shown in FIG. 6, the product information storage unit 122 has items such as "product ID" and "product information".

The "product ID" indicates identification information for identifying the product. "Product information" indicates product information. For example, the "product information" indicates product information including information for calculating the conversion rate, the conversion rate of browsing behavior and purchasing behavior after impressions in the same session, information on product categories, and the like. In the example shown in FIG. 6, an example in which conceptual information such as "product information # 11" and "product information # 12" is stored in "product information" is shown, but in reality, for example, "conversion rate: Information such as "50%, category: One Piece" is stored.

That is, FIG. 6 shows an example in which the product information of the product identified by the product ID “IT11” is “product information # 11”.

The cluster information storage unit 123 stores the cluster information of each cluster in which a plurality of users who use the first electronic shopping street are clustered. Here, FIG. 7 shows an example of the cluster information storage unit 123 according to the embodiment. As shown in FIG. 7, the cluster information storage unit 123 has items such as “cluster ID” and “cluster information”.

The "cluster ID" indicates identification information for identifying the cluster. "Cluster information" indicates cluster information. For example, "cluster information" is information based on features common to multiple users, such as an average purchase price of 1,000 yen, and user information of multiple users included in the cluster (for example, used in the first electronic shopping district). Indicates cluster information including possible identification information). In the example shown in FIG. 7, an example in which conceptual information such as "cluster information # 11" and "cluster information # 12" is stored in "cluster information" is shown, but in reality, for example, "purchase amount: Information such as "thousand yen on average, user ID: AAA11, AAA12, ..." Is stored.

That is, FIG. 7 shows an example in which the cluster information of the cluster identified by the cluster ID “CL11” is “cluster information # 11”.

(Control unit 130)
The control unit 130 is a controller, and is realized by, for example, using a CPU, an MPU, or the like to execute various programs stored in the storage device inside the information processing device 100 using the RAM as a work area. Further, the control unit 130 is a controller, and is realized by, for example, an integrated circuit such as an ASIC or FPGA.

As shown in FIG. 4, the control unit 130 includes an acquisition unit 131, a classification unit 132, a generation unit 133, a determination unit 134, and a provision unit 135, and realizes the information processing operation described below. Or execute. The internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 4, and may be any other configuration as long as it is configured to perform information processing described later.

(Acquisition unit 131)
The acquisition unit 131 acquires various types of information. The acquisition unit 131 acquires various information from an external information processing device. The acquisition unit 131 acquires various information from other information processing devices such as the terminal device 10.

The acquisition unit 131 acquires various information from the storage unit 120. The acquisition unit 131 acquires various information from the user information storage unit 121, the product information storage unit 122, and the cluster information storage unit 123. Further, the acquisition unit 131 stores various acquired information in the storage unit 120. The acquisition unit 131 stores various information in the user information storage unit 121, the product information storage unit 122, and the cluster information storage unit 123.

The acquisition unit 131 acquires the user's search information. For example, the acquisition unit 131 acquires search information such as query information of a search query input in the second electronic shopping district.

The acquisition unit 131 acquires the user information of the user who has performed the operation for searching in the second electronic shopping district. For example, the acquisition unit 131 acquires user information such as identification information that can be commonly used in the first electronic shopping district and the second electronic shopping district.

The acquisition unit 131 acquires the cluster information of the first electronic shopping district. For example, the acquisition unit 131 acquires the cluster information of each cluster in which a plurality of users who use the first electronic shopping street are clustered.

The acquisition unit 131 acquires the product information of the product list that can be purchased in the second electronic shopping district. For example, the acquisition unit 131 acquires product information of a plurality of products included in a product list having a number of products equal to or larger than a predetermined threshold value.

(Classification unit 132)
The classification unit 132 classifies users based on the user information acquired by the acquisition unit 131 and the cluster information of the first electronic shopping district. For example, the classification unit 132 classifies the user into a cluster of cluster information having the most similar user information by comparing the user information with the cluster information of each cluster.

(Generation unit 133)
The generation unit 133 generates a model for determining the display order of the product list provided to the user in the second electronic shopping district. For example, the generation unit 133 is a user in the second electronic shopping district based on the classification result classified by the classification unit 132, the search information acquired by the acquisition unit 131, and the user information acquired by the acquisition unit 131. Generate a model for determining the display order of the product list provided to.

The generation unit 133 generates a model trained as correct answer data as the conversion rate of the target behavior to be performed by the user for a predetermined product provided in the second electronic shopping district increases. For example, the generation unit 133 generates a model trained as correct answer data as the conversion rate of the browsing behavior for a predetermined product increases after the impression. Further, for example, the generation unit 133 generates a model trained as correct answer data as the conversion rate of the action of adding a predetermined product to the cart after impression becomes higher. Further, for example, the generation unit 133 generates a model trained as correct answer data as the conversion rate of the purchasing behavior of purchasing a predetermined product increases within a predetermined period after the impression.

The generation unit 133 generates cluster information of each cluster in which a plurality of users who use the first electronic shopping street are clustered. For example, the generation unit 133 generates cluster information of each cluster in which a plurality of users who use the first electronic shopping district are clustered based on the user information of a plurality of users who use the first electronic shopping district. Further, for example, the generation unit 133 is based on the relationship between the user information of a plurality of users who use the second electronic shopping district and the cluster information of each cluster in which a plurality of users who use the second electronic shopping district are clustered. The cluster information of each cluster which clustered a plurality of users who use the first electronic shopping street is generated.

(Decision unit 134)
The determination unit 134 determines the display order of the product list provided to the user in the second electronic shopping district. For example, the determination unit 134 determines the display order of the product list provided to the user in the second electronic shopping district by using the model generated by the generation unit 133.

(Providing section 135)
The providing unit 135 provides (transmits) information for displaying the product list based on the display order determined by the determining unit 134. For example, the providing unit 135 determines the display order in which the higher the conversion rate, the higher the display order.

[5. Configuration of the first management server]
Next, the configuration of the first management server 200 according to the embodiment will be described with reference to FIG. FIG. 8 is a diagram showing a configuration example of the first management server 200 according to the embodiment. As shown in FIG. 8, the first management server 200 has a communication unit 210, a storage unit 220, and a control unit 230. The first management server 200 may have an input unit for receiving various operations from the administrator of the first management server 200 and a display unit for displaying various information.

(Communication unit 210)
The communication unit 210 is realized by, for example, a NIC or the like. Then, the communication unit 210 is connected to the network N by wire or wirelessly, and transmits / receives information to / from the information processing apparatus 100 or the like via the network N.

(Memory unit 220)
The storage unit 220 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk.

The storage unit 220 stores the cluster information of each cluster in which a plurality of users who use the first electronic shopping street are clustered. Since the storage unit 220 stores the same information as the cluster information storage unit 123, the description thereof will be omitted.

(Control unit 230)
The control unit 230 is a controller, and is realized by, for example, a CPU, an MPU, or the like executing various programs stored in the storage device inside the first management server 200 using the RAM as a work area. Further, the control unit 230 is a controller, and is realized by, for example, an integrated circuit such as an ASIC or FPGA.

As shown in FIG. 8, the control unit 230 has an acquisition unit 231 and a provision unit 232, and realizes or executes the operation of information processing described below. The internal configuration of the control unit 230 is not limited to the configuration shown in FIG. 8, and may be any other configuration as long as it is configured to perform information processing described later.

(Acquisition unit 231)
The acquisition unit 231 acquires various types of information. The acquisition unit 231 acquires various information from an external information processing device. The acquisition unit 231 acquires various information from other information processing devices such as the information processing device 100.

The acquisition unit 231 acquires various information from the storage unit 220. Further, the acquisition unit 231 stores various acquired information in the storage unit 220.

The acquisition unit 231 acquires the cluster information of each cluster in which a plurality of users who use the first electronic shopping street are clustered.

(Providing section 232)
The providing unit 232 provides (transmits) the cluster information acquired by the acquisition unit 231.

[6. Configuration of the second management server]
Next, the configuration of the second management server 300 according to the embodiment will be described with reference to FIG. 9. FIG. 9 is a diagram showing a configuration example of the second management server 300 according to the embodiment. As shown in FIG. 9, the second management server 300 has a communication unit 310, a storage unit 320, and a control unit 330. The second management server 300 may have an input unit for receiving various operations from the administrator of the second management server 300 and a display unit for displaying various information.

(Communication unit 310)
The communication unit 310 is realized by, for example, a NIC or the like. Then, the communication unit 310 is connected to the network N by wire or wirelessly, and transmits / receives information to / from the information processing apparatus 100 or the like via the network N.

(Memory unit 320)
The storage unit 320 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk.

The storage unit 320 stores the product information of the product list that can be purchased in the second electronic shopping district. Since the storage unit 320 stores the same information as the product information storage unit 122, the description thereof will be omitted.

(Control unit 330)
The control unit 330 is a controller, and is realized by, for example, a CPU, an MPU, or the like executing various programs stored in a storage device inside the second management server 300 using the RAM as a work area. Further, the control unit 330 is a controller, and is realized by, for example, an integrated circuit such as an ASIC or FPGA.

As shown in FIG. 9, the control unit 330 has an acquisition unit 331 and a provision unit 332, and realizes or executes the operation of information processing described below. The internal configuration of the control unit 330 is not limited to the configuration shown in FIG. 9, and may be any other configuration as long as it is configured to perform information processing described later.

(Acquisition unit 331)
The acquisition unit 331 acquires various information. The acquisition unit 331 acquires various information from an external information processing device. The acquisition unit 331 acquires various information from other information processing devices such as the information processing device 100.

The acquisition unit 331 acquires various information from the storage unit 320. Further, the acquisition unit 331 stores various acquired information in the storage unit 320.

The acquisition unit 331 acquires the product information of the product list that can be purchased in the second electronic shopping district.

(Providing section 332)
The providing unit 332 provides (transmits) the product information acquired by the acquisition unit 331.

[7. Information processing flow]
Next, the procedure of information processing by the information processing system 1 according to the embodiment will be described with reference to FIG. FIG. 10 is a flowchart showing a procedure of information processing by the information processing system 1 according to the embodiment.

As shown in FIG. 10, the information processing apparatus 100 acquires the user information of the user who has performed the operation for searching in the second electronic shopping district (step S201).

The information processing apparatus 100 classifies users based on the acquired user information and the cluster information of the first electronic shopping district (step S202).

The information processing apparatus 100 determines the display order of the product list provided to the user in the second electronic shopping district based on the classified classification result, the user information, and the search information in the second electronic shopping district (). Step S203).

The information processing apparatus 100 provides information for displaying a product list based on a determined display order (step S204).

[8. effect〕
As described above, the information processing apparatus 100 according to the embodiment includes an acquisition unit 131, a classification unit 132, a determination unit 134, and a provision unit 135. The acquisition unit 131 acquires user information of a user who has common identification information in the first electronic shopping district and the second electronic shopping district. The classification unit 132 classifies users based on the user information acquired by the acquisition unit 131 and the cluster information of the first electronic shopping district. The determination unit 134 is a list of products provided to the user in the second electronic shopping district based on the classification result classified by the classification unit 132, the user information, and the search information searched by the user in the second electronic shopping district. Determine the display order. The providing unit 135 provides information for displaying the product list based on the display order determined by the determining unit 134.

As a result, the information processing apparatus 100 according to the embodiment can hold data in a number of dimensions according to the number of clusters, so that the efficiency of the data amount (for example, the communication data amount) can be improved. Further, since the information processing apparatus 100 according to the embodiment can hold data for each cluster, for example, it is necessary to appropriately perform processing without acquiring individual user information for each data processing for clustering. Can be done. Further, since the information processing apparatus 100 according to the embodiment can manage the data in a cluster, for example, among the data of the first electronic shopping district, one or a plurality of data that do not want to be delivered to the second electronic shopping district can be obtained. If it exists, the user information can be anonymized to prevent the leakage of personal information. Further, since the information processing apparatus 100 according to the embodiment can determine the display order based on the data of the first electronic shopping street and the data of the second electronic shopping street, the load of data processing is significantly increased. It is possible to promote the improvement of the accuracy of estimating the display order suitable for each user without causing the problem.

Further, the information processing apparatus 100 according to the embodiment further includes a generation unit 133 that generates a model for determining the display order based on the classification result, the search information, and the user information. Further, the determination unit 134 determines the display order using the model generated by the generation unit 133.

Thereby, the information processing apparatus 100 according to the embodiment can appropriately generate a model for determining the display order in the second electronic shopping district based on the data of the first electronic shopping district. Further, since the information processing apparatus 100 according to the embodiment can generate a model based on the cluster information instead of acquiring individual user information for each data processing and generating a model, the model can be generalized. It is possible to improve the conversion performance.

Further, the generation unit 133 generates a model trained as correct answer data as the conversion rate of the target behavior to be performed by the user for a predetermined product provided in the second electronic shopping district increases.

As a result, the information processing apparatus 100 according to the embodiment can learn the correct answer data based on the conversion rate of the predetermined action, and therefore, the display order suitable for each user is set based on the conversion rate of the predetermined action. It is possible to promote the improvement of the estimation accuracy.

Further, in the same session, the generation unit 133 generates a model trained as correct answer data as the conversion rate of the browsing behavior for the predetermined product increases after the impression of the predetermined product.

As a result, the information processing apparatus 100 according to the embodiment can learn the correct answer data based on the conversion rate of the browsing behavior, and therefore estimates the display order suitable for each user based on the conversion rate of the browsing behavior. It is possible to promote the improvement of accuracy.

Further, in the same session, the generation unit 133 generates a model trained as correct answer data as the conversion rate of the action of adding the predetermined product to the cart after the impression of the predetermined product increases.

As a result, the information processing apparatus 100 according to the embodiment can learn the correct answer data based on the conversion rate of the action to be added to the cart, and is suitable for each user based on the conversion rate of the action to be added to the cart. It is possible to promote the improvement of the accuracy of estimating the display order.

Further, the generation unit 133 generates a model trained as correct answer data as the conversion rate of the purchasing behavior of purchasing the predetermined product increases within a predetermined period after the impression of the predetermined product.

As a result, the information processing apparatus 100 according to the embodiment can learn the correct answer data based on the conversion rate of the purchasing behavior, and therefore estimates the display order suitable for each user based on the conversion rate of the purchasing behavior. It is possible to promote the improvement of accuracy.

Further, the determination unit 134 determines the display order in which the higher the conversion rate, the higher the display order, based on the conversion rates for the plurality of products provided in the second electronic shopping district.

As a result, the information processing apparatus 100 according to the embodiment can be displayed at a higher level as the product has a higher conversion rate.

Further, the information processing apparatus 100 according to the embodiment further has a storage unit 120 that stores the identification information and the cluster information of the first electronic shopping district in association with each other.

As a result, the information processing apparatus 100 according to the embodiment can manage the cluster information with the identification information, so that the efficiency of the data amount can be improved.

[9. Hardware configuration]
Further, the terminal device 10, the information processing device 100, the first management server 200, and the second management server 300 according to the above-described embodiment are realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 11 is a hardware configuration diagram showing an example of a computer that realizes the functions of the terminal device 10, the information processing device 100, the first management server 200, and the second management server 300. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400, and controls each part. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started, a program depending on the hardware of the computer 1000, and the like.

The HDD 1400 stores a program executed by the CPU 1100, data used by such a program, and the like. The communication interface 1500 receives data from another device via a predetermined communication network and sends the data to the CPU 1100, and transmits the data generated by the CPU 1100 to the other device via the predetermined communication network.

The CPU 1100 controls an output device such as a display or a printer, and an input device such as a keyboard or a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. Further, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the program or data to the CPU 1100 via the RAM 1200. The CPU 1100 loads the program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

For example, when the computer 1000 functions as the terminal device 10, the information processing device 100, the first management server 200, and the second management server 300 according to the embodiment, the CPU 1100 of the computer 1000 executes a program loaded on the RAM 1200. Thereby, the functions of the control units 14, 130, 230 and 330 are realized. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, these programs may be acquired from another device via a predetermined communication network.

[10. others〕
Further, among the processes described in the above-described embodiment, all or a part of the processes described as being automatically performed can be manually performed, or the processes described as being manually performed can be performed. All or part of it can be done automatically by a known method. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown in the figure.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or part of them may be functionally or physically distributed / physically in any unit according to various loads and usage conditions. Can be integrated and configured.

Further, the above-described embodiments can be appropriately combined as long as the processing contents do not contradict each other.

Although some of the embodiments of the present application have been described in detail with reference to the drawings, these are examples, and various modifications are made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure column of the invention. It is possible to carry out the present invention in other modified forms.

Further, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the acquisition unit can be read as an acquisition means or an acquisition circuit.

1 Information processing system 10 Terminal equipment 11 Communication unit 12 Input unit 13 Output unit 14 Control unit 100 Information processing device 110 Communication unit 120 Storage unit 121 User information storage unit 122 Product information storage unit 123 Cluster information storage unit 130 Control unit 131 Acquisition unit 132 Classification unit 133 Generation unit 134 Determination unit 135 Providing unit 141 Receiving unit 142 Transmitting unit 200 1st management server 210 Communication unit 220 Storage unit 230 Control unit 231 Acquisition unit 232 Providing unit 300 2nd management server 310 Communication unit 320 Storage unit 330 Control unit 331 Acquisition unit 332 Provision unit N Network

Claims (10)

An acquisition unit that acquires user information of a user who has common identification information in the first electronic shopping district and the second electronic shopping district, and
A classification unit that classifies the user based on the user information acquired by the acquisition unit and the cluster information of the first electronic shopping district.
A list of products provided to the user in the second electronic shopping district based on the classification result classified by the classification unit, the user information, and the search information searched by the user in the second electronic shopping district. The decision unit that determines the display order and
A providing unit that provides information for displaying the product list based on the display order determined by the determining unit, and a providing unit.
An information processing device characterized by having. Further, it has a generation unit that generates a model for determining the display order based on the classification result, the search information, and the user information.
The decision-making part
The information processing apparatus according to claim 1, wherein the display order is determined by using the model generated by the generation unit. The generator is
The second aspect of the present invention is characterized in that the higher the conversion rate of the target action to be performed by the user for the predetermined product provided in the second electronic shopping district, the more the model trained as correct answer data is generated. The information processing device described. The generator is
The third aspect of the present invention is characterized in that, in the same session, after the impression of the predetermined product, the higher the conversion rate of the browsing behavior for the predetermined product, the more the model trained as the correct answer data is generated. Information processing equipment. The generator is
A claim characterized in that, in the same session, after the impression of the predetermined product, the higher the conversion rate of the action of adding the predetermined product to the cart, the more the model trained as the correct answer data is generated. The information processing apparatus according to 3. The generator is
A claim characterized in that, after the impression of the predetermined product, the higher the conversion rate of the purchasing behavior of purchasing the predetermined product, the more the model trained as the correct answer data is generated within a predetermined period. The information processing apparatus according to 3. The decision-making part
Any of claims 3 to 6, wherein the display order of products having a higher conversion rate is determined based on the conversion rates of a plurality of products provided in the second electronic shopping district. The information processing apparatus according to item 1. The information processing apparatus according to any one of claims 1 to 7, further comprising a storage unit that stores the identification information and the cluster information of the first electronic shopping district in association with each other. It is an information processing method executed by a computer.
An acquisition process for acquiring user information of a user who has common identification information in the first electronic shopping district and the second electronic shopping district, and
A classification process for classifying the users based on the user information acquired by the acquisition process and the cluster information of the first electronic shopping mall.
A list of products provided to the user in the second electronic shopping district based on the classification result classified by the classification step, the user information, and the search information searched by the user in the second electronic shopping district. The decision process that determines the display order and
A providing process for providing information for displaying the product list based on the display order determined by the determining process, and a providing process.
An information processing method characterized by including. An acquisition procedure for acquiring user information of a user who has common identification information in the first electronic shopping district and the second electronic shopping district, and
A classification procedure for classifying the user based on the user information acquired by the acquisition procedure and the cluster information of the first electronic shopping mall, and a classification procedure.
A list of products provided to the user in the second electronic shopping district based on the classification result classified by the classification procedure, the user information, and the search information searched by the user in the second electronic shopping district. The decision procedure to determine the display order and
A provision procedure that provides information for displaying the product list based on the display order determined by the determination procedure, and a provision procedure.
An information processing program characterized by having a computer execute.

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