WO2017104064A1

WO2017104064A1 - Management device, management method, non-temporary recording medium, and program

Info

Publication number: WO2017104064A1
Application number: PCT/JP2015/085457
Authority: WO
Inventors: 鏡淇趙; 隆二根布
Original assignee: 楽天株式会社
Priority date: 2015-12-18
Filing date: 2015-12-18
Publication date: 2017-06-22
Also published as: JP6567688B2; JPWO2017104064A1

Abstract

A management device (100) manages an electronic market in which a plurality of dealers open shops via a network. An acquisition unit (11) acquires recommended product data (22) showing recommended products to a customer (C) on the basis of behavior history data (21) showing the browsing history or purchase history of the customer (C). A search unit (12) searches dealers selling the acquired recommended product in the electronic market. A recommendation unit (13) recommends sets of the searched dealers and the featured products associated with the dealers to the customer (C).

Description

Management device, management method, non-transitory recording medium, and program

The present invention relates to a management device, a management method, a non-transitory recording medium, and a program.

In recent years, the so-called electronic market, in which many virtual stores open via the Internet, has become widespread. In the electronic market, each store creates and publishes a sales page for each product, and a customer can purchase a desired product through this sales page.

In such an electronic market, technologies are being developed to increase customer convenience, increase customer willingness to purchase, and in turn increase the overall sales of the electronic market.

For example, Patent Document 1 discloses a technique for evaluating a virtual store that opens a store via the Internet from the viewpoint of an estimated sales value and the number of products handled, and determining a comprehensive rating.

Patent Document 2 discloses a technique for proposing recommended products to a customer based on the purchase history or browsing history of the customer.

JP 2014-32442 A JP 2008-282098 A

However, in the prior art, in the electronic market, it has not been possible to urge customers to visit a large number of stores according to the customer's attributes and behavior history.

In the electronic market where multiple stores are open, multiple stores handle the same product and compete in price and quality of service. Therefore, if a customer recognizes the existence of a large number of stores in the electronic market (even if the products handled are the same), the customer can obtain the same product under better conditions (price and quality of service). Will lead to. This leads to an increase in attractiveness to the customer as a whole electronic market. For these reasons, there is a need for electronic market service providers to make their customers aware of the numerous stores that open in the electronic market.

The technology disclosed in Patent Document 1 only gives a general rating to a dealer or displays it in a ranking format. Therefore, it is not possible to propose another store corresponding to the customer's attribute or past behavior history to the customer.

The technology disclosed in Patent Document 2 only suggests products that match the customer's attributes and past action history to the customer. It does not suggest another store for the customer.

The present invention has been made in view of such problems, and the object of the present invention is to visit a large number of stores in the electronic market that are adapted to the customer's attributes and behavior history. To encourage.

In order to achieve the above object, a management device according to the first aspect of the present invention provides:
A management device for managing an electronic market in which a plurality of dealers open stores via a network,
An acquisition unit that acquires recommended products for the customer based on the browsing history or purchase history of the customer,
A search unit for searching for a store that sells the acquired recommended product in the electronic market;
A recommendation unit that recommends to the customer a set of the searched dealer and a feature product associated with the dealer;
Is provided.

The management device according to the first aspect is
When the customer selects a pair of the recommended dealer and the main item, the customer can display the item page of the main item created by the distributor included in the group or the sales included in the group. A presentation unit that presents a product page of a product that is the top sales of the store,
It may be a thing.

In the management device according to the first aspect,
The search unit extracts, from the electronic market, a predetermined number of dealers handling the recommended products in order from the highest sales of the recommended products.
It may be a thing.

In the management device according to the first aspect,
The acquisition unit acquires a plurality of the recommended products,
The search unit excludes duplicate dealers from the extracted dealers.
It may be a thing.

In the management device according to the first aspect,
The recommendation unit determines whether or not the featured product associated with the searched sales store is the same as the recommended product, and when determining that the recommended product is the same, the recommended sales store Selecting a product different from the recommended product from the products handled by the product, and recommending a set of the searched store and the selected product to the customer.
It may be a thing.

In the management device according to the first aspect,
When the recommendation unit determines that the featured product associated with the searched dealer and the recommended product are the same, the recommended unit is a product different from the recommended product and the searched sales Select the product with the highest sales in the store,
It may be a thing.

In order to achieve the above object, a management method according to the second aspect of the present invention includes:
A management method for managing an electronic market in which a plurality of dealers open stores via a network,
An obtaining step for obtaining a recommended product for the customer based on the browsing history or purchase history of the customer;
A search step of searching for a store that sells the acquired recommended product in the electronic market;
A recommended step of recommending to the customer a set of the searched dealer and a feature product associated with the dealer;
Is provided.

In order to achieve the above object, a computer-readable non-transitory recording medium according to the third aspect of the present invention provides:
A recording medium that records a program executed by a computer that manages an electronic market where a plurality of dealers open stores via a network,
In the computer,
An acquisition procedure for obtaining recommended products for the customer based on the customer's browsing history or purchase history,
A search procedure for searching for a store selling the acquired recommended product in the electronic market;
A recommended procedure for recommending to the customer a set of the searched dealer and a center product associated with the dealer;
Record the program that executes

In order to achieve the above object, a program according to the fourth aspect of the present invention is:
A program that is executed by a computer that manages an electronic market in which a plurality of dealers open stores via a network,
In the computer,
An acquisition procedure for obtaining recommended products for the customer based on the customer's browsing history or purchase history,
A search procedure for searching for a store selling the acquired recommended product in the electronic market;
A recommended procedure for recommending to the customer a set of the searched dealer and a center product associated with the dealer;
Is executed.

According to the present invention, in the electronic market, it is possible to encourage a customer to visit a large number of stores that match the customer's attributes and behavior history.

It is a block diagram which shows the function structure of the management apparatus concerning embodiment of this invention. It is a block diagram which shows the hardware constitutions of a management apparatus. It is a figure which shows the data content currently recorded on the memory | storage device. It is a flowchart of a recommended store presentation process. It is a figure which shows an example of the content of recommended merchandise data. It is a figure which shows an example of the content of recommended store data. It is a figure which shows an example of the content of recommendation candidate group data. It is a figure which shows an example of the content of the website shown to a customer.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.

<Embodiment>
A management apparatus 100 according to an embodiment of the present invention is an information processing apparatus that provides a function as an electronic market in which a plurality of stores open stores via the Internet. The management apparatus 100 records data related to a product-related web page (product page) created by a person in charge at a store. When a request is received from a customer via a network such as the Internet, the product is received in response to the request. Provide information about the page. In addition, when the customer who has viewed the product page inputs an order related to the product via the product page, the management apparatus 100 receives the order and transmits the received order to the store.

In the electronic market managed by the management apparatus 100, there is no limitation on the handling of products for which there are already handled dealers by other dealers. For this reason, it is possible that a plurality of stores set their own prices and sell them with their own services (such as setting the shipping cost and delivery date).

The customer accesses a web page of the electronic market using a terminal device (such as a personal computer or a smartphone) that can be operated by the customer. A terminal device operated by a customer is connected to the management apparatus 100 via a network such as the Internet. The customer can access an electronic market website managed by the management apparatus 100 via the terminal device, search for a desired product, and browse a product page.

When the management apparatus 100 accepts an order from a customer, the management apparatus 100 sends an e-mail describing information indicating the contents of the order (order date, product name, product identification information, purchase price, purchase source store, etc.) to the customer. Send to. The customer can refer to his / her order contents by referring to the transmitted e-mail. In addition, it is assumed that the management apparatus 100 has all the functions of an information processing apparatus that provides a general electronic market function.

Further, the management device 100 has a function of proposing purchase of a product to the customer based on the customer's behavior history. Specifically, as a function of the electronic market, the management apparatus 100 browses a product history (purchase history) of a product purchased by the target customer in the electronic market and a product page of the target customer in the electronic market. The history (browsing history) of the purchased product is recorded as an action history. The management device 100 identifies a product (recommended product) that the target customer is expected to purchase in the future based on the recorded action history. The management apparatus 100 suggests that the customer purchase the product by presenting the identified product (recommended product) to the customer.

Furthermore, the management apparatus 100 has a function of proposing not only a product expected to be purchased to a customer, but also a store itself that handles the product. Specifically, when the management device 100 identifies a product that the target customer is expected to purchase in the future, the management device 100 searches for a store that handles the product in the electronic market. The management apparatus 100 recommends a new store to the customer by presenting to the customer the store that has been hit as a result of the search and the product that the store sells as the main product.

The main product is a product that is particularly focused on and is being sold. The retailer creates a product page for each product, but especially for featured products, not only the product page, but also data (image data or specially designed for recommending a pair of the featured product and its own retailer to the customer. Web pages for sale). In addition, each store inputs to the management apparatus 100 and sets that the product to be sold as the main product is the main product of the store. The management apparatus 100 records information for specifying the products set by the respective dealers belonging to the electronic market as the main products.

As shown in FIG. 1, the management apparatus 100 according to the present embodiment includes an acquisition unit 11, a search unit 12, and a recommendation unit 13 in terms of functions. In addition, the management apparatus 100 accesses the action history data 21, the recommended product data 22, the recommended store data 23, the store-centered product correspondence data 24, the recommended candidate group data 25, the electronic market data 27, and the like as necessary. .

The acquisition unit 11 acquires recommended products for the customer C based on the behavior history (browsing history or purchase history) of the customer C. Specifically, the acquisition unit 11 analyzes the behavior history data 21 that records the behavior of the customer C in the electronic market, lists the products recommended for purchase by the customer C, and records them in the recommended product data 22. .

The acquisition unit 11 may take various forms for acquiring recommended products. For example, the acquisition unit 11 identifies a product that is frequently recorded by the customer C and recorded in the browsing history and is not recorded in the purchase history that the customer C has purchased, and recommends the identified product. The product data 22 may be recorded. Alternatively, the acquisition unit 11 may identify a product purchased by the customer C and a product often purchased as a set, and add the recommended product data 22 to the recommended product data 22. Furthermore, when there is a product that has been purchased by the target customer in the past and tends to be purchased on a regular basis, the product for which a predetermined period has elapsed since the purchase by the customer may be added to the recommended product data 22. .

Furthermore, it is also possible to apply trend analysis from all users of the electronic market. In this case, for example, the acquisition unit 11 extracts users whose contents of the customer C and the action history data 21 are similar from those of the electronic market. The acquisition unit 11 is often purchased by the extracted user, and the target customer identifies an unpurchased product. The acquisition unit 11 may add the product specified in this way to the recommended product data 22. Further, the acquisition unit 11 is not limited to the example described so far, and may acquire the recommended product by an arbitrary recommendation method based on the purchase history or attribute information of the customer.

The product that the acquisition unit 11 records in the recommended product data 22 is not limited to one. The acquisition unit 11 may record a plurality of products in the recommended product data 22 in a single process. Further, as a result of accumulating the recommended product data acquired by the acquisition unit 11 in a plurality of times in the recommended product data 22, a plurality of recommended products may be recorded in the recommended product data 22.

The recommended product data 22 is acquired and recorded by the acquisition unit 11 for each customer in the electronic market. Therefore, recommended products that differ for each customer are recorded in the recommended product data 22.

The search unit 12 searches for sales outlets that sell in the electronic market for each product acquired by the acquisition unit 11, and records the hit dealers in the recommended dealer data 23. The search unit 12 reads the product recorded in the recommended product data 22 and searches the electronic market data 27 for a store that handles the read product. The search unit 12 records a store that has been hit as a result of the search in the recommended store data 23.

The search unit 12 sets an upper limit on the number of dealers recorded in the recommended dealer data 23 when a plurality of dealers are hit in a single search. For example, when 3 stores are set as the upper limit and the store handling a certain product hits 4 or more hits by the search, the search unit 12 extracts stores that have hit the upper limit by an arbitrary criterion and recommended Record in the store data 23. The criteria used for extraction are arbitrary, and for example, the search unit 12 may extract a predetermined number of stores in order from the highest recommended product sales. Further, the search unit 12 may extract a predetermined number of dealers in an order not familiar to the customer C with reference to the behavior history data 21 of the customer C. The fact that the customer C is unfamiliar means that the action history data 21 of the customer C has no or little purchase history at the dealer or a browsing history of the dealer. The search unit 12 may calculate the degree of familiarity based on the number of purchases by the customer C at the store and the number of times the store is browsed, and may extract the stores in the order of decreasing degree.

The recommendation unit 13 recommends to the customer C a set of the store searched by the search unit 12 and the center product associated with the store. The recommendation unit 13 reads information indicating a store recorded in the recommended store data 23. The recommendation unit 13 refers to the dealer-eyeball product correspondence data 24, specifies information about the eyeball product corresponding to the dealer read from the recommended dealer data 23, and records the information in the recommended candidate set data 25 for the customer C.

Further, the recommendation unit 13 reads information indicating a combination of a store and a feature product from the recommended candidate set data 25, and uses information (image data or the like) for recommending the read set to the customer C. Transmit to the terminal device T1. When the terminal device T1 displays the received information on the customer C, the customer C can receive a recommendation of a set of a store corresponding to his / her own action history and the main product of the store.

The management apparatus 100 recommends a combination of a store and an eye-catching product to the customer C by having the functional units described so far. Thereby, the management apparatus 100 can recommend the store to the customer C as well as the product.

As illustrated in FIG. 2, the management apparatus 100 according to the present embodiment includes a control unit 110, a storage device 120, an operation device 130, a display 140, and a network interface 150 as hardware, which are connected via an internal bus 190. It has the structure connected mutually.

The control unit 110 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like. When the CPU of the control unit 110 executes a program recorded in the ROM or RAM, the control unit 110 controls the overall operation of the management apparatus 100. The control unit 110 reads data such as a program from the storage device 120 as necessary, and stores the data in the storage device 120.

The storage device 120 includes a storage device such as a hard disk drive or a flash memory, and stores data necessary for the management device 100 to operate.

The storage device 120 records, for example, a program to be executed by the control unit 110 or data to be referred to when the control unit 110 executes the program, and provides the control unit 110 with a request from the control unit 110. . Further, the storage device 120 records the data output from the control unit 110 in response to a request from the control unit 110.

The operation device 130 includes a keyboard, a mouse, and the like, receives an input operation by an operator, and transmits the input operation to the control unit 110.

The display 140 includes a liquid crystal display or the like, and displays information that the management apparatus 100 should present to the operator.

However, it is not essential that the management apparatus 100 includes the operation device 130 and the display 140. For example, an operation input from the operator is received or information is presented to the operator via the network interface 150 described later. If possible, the management apparatus 100 may not include the operation device 130 or the display 140.

The network interface 150 connects the management apparatus 100 to a network (not shown). When the management apparatus 100 transmits information to other devices via the network or receives information from other devices, the network interface 150 uses the information received from the control unit 110 via an internal bus 190 described later to the network. The information transmitted to the other device via the network and the information received from the other device via the network is transmitted to the control unit 110 via the internal bus 190. In particular, the management apparatus 100 can communicate with the terminal apparatus T1 of the customer C connected via the network. The management device 100 receives the operation content transmitted from the terminal device T1. The management device 100 transmits information to be displayed on the screen (information indicating a product page, information indicating sales information, etc.) to the terminal device T1.

The network interface 150 may connect the management apparatus 100 to the network via a cable, for example, or may connect the management apparatus 100 to the network by wireless communication. Whether using a cable or wireless communication, the communication standard is arbitrary.

The internal bus 190 relays the exchange of information among the components (the control unit 110, the storage device 120, the operation device 130, the display 140, the network interface 150, etc.) in the management apparatus 100. For example, when the control unit 110 reads necessary data from the storage device 120, the control unit 110 reads data from the storage device 120 via the internal bus 190.

With the above configuration, the management apparatus 100 according to the present embodiment has a function provided by a general electronic market management apparatus, for example, a function that allows a customer C to browse a product page via the Internet, and a customer C input. A function of searching for a product page that matches the query and presenting the hit product page to the customer C, a function of receiving an order for purchasing a product from the customer C via the product page, and the like are realized. The management apparatus 100 accepts various requests (such as a product page reference request and a product purchase application processing request) transmitted from the terminal device T1 of the customer C via the Internet. The management device 100 executes the accepted processing request and transmits information resulting therefrom to the terminal device T1 of the customer C. The terminal device T1 receives the information transmitted from the management device 100, and presents the information to the customer C by displaying the received data on a display device such as a liquid crystal display. That is, the management apparatus 100 can present to the customer C by transmitting data corresponding to the request from the customer C to the terminal apparatus T1.

In the management device 100 according to the present embodiment, the storage device 120 records each data shown in FIG. In other words, the storage device 120 records the action history data 21, the recommended product data 22, the recommended store data 23, the store-centered product correspondence data 24, the recommended candidate set data 25, and the electronic market data 27. In addition, sales data 26 for each product for each store may be recorded as arbitrary data.

The behavior history data 21 is data in which the behavior history of the customer C is recorded. In the behavior history data 21, a purchase history in which the customer C has recorded a history of purchasing a product in the electronic market, a browsing history in which a history of browsing a product page in the electronic market in the past, and the like are recorded. . When the customer C purchases a product in the electronic market or the customer C views a product page in the electronic market, the management device 100 records the purchase behavior and the content of the browsing behavior in the behavior history data 21.

The recommended product data 22 is data created by the management apparatus 100 for each customer, and is data in which products recommended for the target customer (customer C) are recorded. The management device 100 reads the behavior history of the customer C from the behavior history data 21 and analyzes it by the function of the acquisition unit 11, thereby obtaining recommended products recommended for the customer C and recording them in the recommended product data 22.

The recommended dealer data 23 is data created by the management apparatus 100 for each customer, and is data in which a dealer recommended for the target customer (customer C) is recorded. Based on the data indicating the recommended product read from the recommended product data 22, the management device 100 searches for a dealer that handles the recommended product in the electronic market by the function of the search unit 12. The management apparatus 100 records a store that has been hit as a result of the search in the recommended store data 23.

Dealer-eyeball product correspondence data 24 is data that associates each store that opens in the electronic market with the featured product at that store. The management apparatus 100 records data in which one or more feature products are associated with each store in the store-eye product correspondence data 24. Further, when the dealer inputs data (image data, a special sales web page, etc.) for recommending a set of the product and the main product to the customer, the management apparatus 100 stores the input data. -Record in the featured product correspondence data 24.

The recommended candidate set data 25 includes data for recommending the featured product to the customer C, and the featured product corresponding to each dealer recorded in the recommended dealer data 23 in the dealer-eyeball product correspondence data 24. Is the data that associates. The management apparatus 100 identifies a recommended store recommended for the customer C in a recommended store presentation process described later, and then reads and associates the feature product set by the identified store from the store-eye feature product correspondence data 24. The recommended candidate set data 25 is recorded. Furthermore, the management apparatus 100 records image data, link information, and the like, which are input by the dealer, for recommending the pair of the dealer and the main product to the customer, in the recommended candidate group data 25 in association with the dealer. To do.

The sales data 26 for each product for each sales store is data in which sales for each prize in the sales store are recorded for each sales store that opens in the electronic market managed by the management apparatus 100. By referring to the sales data 26 for each product for each store, it is possible to determine which product has a large amount of sales at that store. In the sales data 26 by product for each store, the sales amount and the number of sales at the store are recorded for each product.

The electronic market data 27 includes a set of data necessary for the management apparatus 100 to provide functions of the electronic market, and indicates, for example, a program for functioning as a web server and a product page created by a store. Data, and also a database containing customer information (name and address, e-mail address, member ID, etc.) and store information (contact phone number, address, responsible person name, etc.). The management apparatus 100 realizes a function as an electronic market by referring to the electronic market data 27 as necessary.

In the example shown in FIG. 3, the behavior history data 21 and the sales data 26 for each product for each store are shown independently from the electronic market data 27. However, the behavior history data 21 and the sales data 26 for each product for each store may be included in the electronic market data 27.

The management apparatus 100 performs a recommended dealer presentation process shown in FIG. 4 to present and recommend a set of the dealer and the main product to the customer C via the terminal device T1. For example, when the customer C accesses the terminal device T1 or periodically, the management apparatus 100 executes recommended dealer presentation processing. The management apparatus 100 executes the recommended dealer presentation process by the control unit 110 executing the steps shown in FIG.

At the beginning of the recommended dealer presentation process, the control unit 110 acquires a recommended product (step S11). The control unit 110 reads and analyzes the purchase history or browsing history of the customer C from the behavior history data 21. As a result of the analysis, the control unit 110 identifies recommended products to be recommended to the customer C and records them in the recommended product data 22. As a result, as shown in FIG. 5, data D indicating the target customer and data DA1 to DA3 indicating the recommended products associated with the customer are recorded in the recommended product data 22. In the example shown in FIG. 5, three recommended products (product AA, product AB, and product AC) are recorded for one customer (customer 1). The number of recommended products is arbitrary. By executing step S <b> 11, the control unit 110 functions as the acquisition unit 11.

Next, the control unit 110 extracts a recommended store (step S12). The control unit 110 accesses the recommended product data 22 and reads data indicating the recommended product. The control unit 110 searches the electronic market data 27 using a product (recommended product) indicated by the read data as a search key, thereby specifying a store that handles the recommended product. The control unit 110 records the identified store in the recommended store data 23 as a recommended store. As a result, in the recommended dealer data 23, as shown in FIG. 6, for example, for a product AA (presented in the data DA1) recorded as a recommended commodity, a dealer BA (presented in the data DB 11) that handles this product AA. ), The store BB (presented in the data DB 12), and the store BC (presented in the data DB 13) are recorded as search results. The same applies to the other recommended products (products AB and AC), and the dealers that handle these are searched and recorded in the recommended dealer data 23. By executing step S12, the control unit 110 functions as the search unit 12.

In step S12, there are cases where there are a large number of dealers that hit when searching for recommended products as search keys. In such a case, the control unit 110 extracts a predetermined number of dealers from the hit dealers based on the criteria, and records them in the recommended dealer data 23. The criteria for extracting are arbitrary. For example, the control unit 110 may purchase a product from a hit sales store where the customer C has purchased (the behavior history data 21 indicates that the customer C has purchased a product at the sales store. May be excluded. In addition, the control unit 110 may sort the hit sales stores based on the sales amount (sales number or total sales amount) of the product, and extract a predetermined number from the highest sales amount.

Next, the control unit 110 identifies a set of recommended dealers and featured products (step S13). The control unit 110 reads, for each sales store extracted in step S12, the product set by the sales store as the main product from the sales store-main product correspondence data 24 and records it in the recommended candidate set data 25. As a result, as shown in FIG. 7, the recommended candidate set data 25 records the main products at each store specified as the recommended store. Specifically, for example, information (data DCA1, DCA2, DCA3) related to the main product is recorded for a store (data DB 11) recorded as a recommended store. Information (data DCB1 and DCB2) related to the main product set by the dealer is also recorded in the dealer (data DB 12) recorded as another recommended dealer. The same applies to other dealers that have been recorded as recommended dealers, and information relating to the main product set by each dealer is recorded.

Next, the control unit 110 recommends the specified set of dealers and featured products to the customer C (step S14). The control unit 110 extracts a set of a store and a feature product recommended for the customer C from the recommended candidate set data 25 recorded in step S13. The control part 110 transmits the link information for accessing the data which recommends the group of the extracted store and the featured product to the terminal device T1 of the customer C. Based on the received link information, the terminal device T1 reads from the management device 100 information such as a website recommending a combination of a store and a feature product and presents it to the customer C. Receive a recommendation of a pair of store and featured product. By executing steps S13 to S14, the control unit 110 functions as the recommendation unit 13.

When step S14 is completed, the control unit 110 ends the recommended dealer presentation process. Through the processing described so far, the management device 100 recommends a set of a store and a feature product to the customer C via the terminal device T1.

FIG. 8 shows an example of a screen that the terminal device T1 actually displays for the customer C when the recommendation unit 13 recommends the store and the main product to the customer C. As an example, an e-mail transmitted from the management device 100 is displayed on the display T1a of the terminal device T1. In this e-mail, not only the column A10 indicating the information of the mail text, but also the columns for presenting recommended products (columns B11, B12, B13), and the column for displaying a set of recommended dealers and featured products (column C11) To C16) are displayed. The management apparatus 100 displays image data indicating the products of the main products of the dealers BA to BF in the frames corresponding to the columns C11 to C16, and link information for accessing the product page of each of the main products ( URL: Uniform Resource Locator etc.) is added and sent. The management device 100 displays the columns C11 to C16 on the display T1a of the terminal device T1 and allows the customer C to browse, so that the customer C recommends a set of a store and a feature product via the terminal device T1. .

As shown in FIG. 7, a plurality of feature products can be set for each store. Therefore, the recommendation unit 13 extracts a set of recommended dealers and featured products based on an arbitrary standard, and recommends the extracted set to the customer C. The criteria for extraction are, for example, that the featured product does not overlap with the recommended product recorded in the recommended product data 22 and other featured products, the sales of the featured product at each store are higher, and the customer C Thus, the fact that the product has been purchased in the past can be recorded in the action history data 21 (or not recorded). In addition, the recommendation unit 13 may extract a recommended set according to an arbitrary criterion.

In the example shown in FIG. 8, both a column for presenting recommended products (columns B11, B12, and B13) and a column for displaying a set of recommended dealers and featured products (columns C11 to C16) are provided to customer C. Presented. However, presentation of recommended products is optional, and the columns B11 to B13 do not have to be presented. However, while the recommended product is directly derived from the behavior history (purchase history and browsing history) of the customer C, the set of the recommended store and the main product is a group of stores that handle the recommended product. It is derived indirectly from. Therefore, the management apparatus 100 presents both the recommended product and the combination of the recommended store and the main product to the customer C, so that the product purchase proposal (recommended product) in accordance with the behavior of the customer C, The customer C can make a proposal (a combination of a recommended store and an eye-catching product) to purchase a product that has not been so much involved.

In the description so far, the recommendation unit 13 recommends to the customer C a set of a store and a feature product set by the store. However, the management device 100 recommends to the customer not a set of the store and the main product, but a set of the store and another product (the recommended product and the main product). For example, when the main product is a product already purchased by the customer C, the management apparatus 100 selects, for example, a product that is in high sales at the dealer instead of the main product, and selects the selected product and the dealer. May be recommended to customer C.

Furthermore, it is desirable that the product recommended by the management apparatus 100 for the customer C in combination with the store is a product different from the recommended product recorded in the recommended product data 22. This is because the recommended product and the recommended store may be displayed on the same screen as shown in FIG. 8, so that the effect of recommending the store may be reduced if the product is the same product. Therefore, for example, when the recommended product recorded in the recommended product data 22 and the feature product set by the store are the same product, the management apparatus 100 replaces the feature product. Also good. In this case, the management apparatus 100 may recommend to the customer C a set of a store and another product that replaces the main product. Further, in this case, as a product that replaces the main product, a product that is in the top sales in the store may be selected. In that case, the management apparatus 100 may access the sales data 26 for each product for each store and specify the product to be replaced with the main product. In this way, the management apparatus 100 recommends to the customer C a set of a store and a product that is the top sales of the store.

In addition, as in the example illustrated in FIG. 8, the management apparatus 100 displays a frame corresponding to a column (columns C11 to C16) for recommending a recommended store and a feature product (or a product replaced with a feature product). Then, link information for accessing the product page of each product is added and transmitted. Therefore, when the customer C selects and clicks a pair of the store and the main product through the terminal device T1, the management device 100 displays the product page (the product page of the main product or the store) specified by the link information. The product page of the product with the top sales. Therefore, the customer C can easily access the recommended merchandise page of the dealer through the presented link information.

As described above, when a plurality of products are recorded in the recommended product data 22 and a dealer handling each recommended product is extracted, the extracted stores may overlap. Therefore, the search part 12 may be provided with the function which excludes the overlapping store after extracting the store handled for every goods.

As an example, it is assumed that three recommended products are recorded in the recommended product data 22, and the search unit 12 extracts six dealers to handle for each recommended product. The search unit 12 searches the electronic market data 27 and extracts data indicating the total of 18 stores for the three recommended products recorded in the recommended product data 22. When there are a plurality of data indicating the same store among the extracted data indicating the 18 stores, the search unit 12 excludes duplication. Specifically, for example, when there are a plurality of data indicating the same store BA in the data indicating the extracted store, only one data indicating the store BA is left and another store BA is stored. Delete the data indicating. In this way, it is possible to avoid recommending an overlapping store.

In this case, there is data indicating a large number of dealers (a maximum of 18 dealers) when duplicate dealers are not included. Even when there are overlapping shops, there is data indicating at least three shops. When a store recommended for the customer C is selected, the search unit 12 may extract a predetermined number of stores in descending order of sales of the corresponding recommended product.

The management apparatus according to the embodiment of the present invention can be realized by using a normal computer system without using a dedicated system. For example, a non-transitory computer such as a flexible disk, CD-ROM (Compact Disk-Read Only Memory), DVD (Digital Versatile Disk), MO (Magnet Optical Disk), etc. A management apparatus that performs the above-described processing may be configured by recording and distributing it in a readable storage medium and installing it in a computer system. Furthermore, the program may be stored in a disk device or the like included in a server device on the Internet, and may be downloaded onto a computer by being superimposed on a carrier wave, for example.

Further, the management apparatus according to the embodiment of the present invention is not limited to one realized by a single unit. A plurality of computers may share the functions of the above-described units, thereby providing each function as one system including the plurality of computers.

Further, the above-described embodiment is for explaining the present invention, and does not limit the scope of the present invention. That is, the scope of the present invention is shown not by the embodiments but by the claims. Various modifications within the scope of the claims and within the scope of the equivalent invention are considered to be within the scope of the present invention.

11: acquisition unit 12: search unit 13: recommendation unit 21: action history data 22: recommended product data 23: recommended store data 24: store-centered product correspondence data 25: recommended candidate set data 26: product for each store Separate sales data 27: Electronic market data 100: Management device 110: Control unit 120: Storage device 130: Operation device 140: Display 150: Network interface 190: Internal bus C: Customer T1: Terminal device

Claims

A management device for managing an electronic market in which a plurality of dealers open stores via a network,
An acquisition unit that acquires recommended products for the customer based on the browsing history or purchase history of the customer,
A search unit for searching for a store that sells the acquired recommended product in the electronic market;
A recommendation unit that recommends to the customer a set of the searched dealer and a feature product associated with the dealer;
A management device comprising:
When the customer selects a pair of the recommended dealer and the main item, the customer can display the item page of the main item created by the distributor included in the group or the sales included in the group. A presentation unit that presents a product page of a product that is the top-selling store;
The management apparatus according to claim 1, comprising:
The search unit extracts, from the electronic market, a predetermined number of dealers handling the recommended products in order from the highest sales of the recommended products.
The management apparatus according to claim 1 or 2.
The acquisition unit acquires a plurality of the recommended products,
The search unit excludes duplicate dealers from the extracted dealers.
The management device according to claim 3.
The recommendation unit determines whether or not the featured product associated with the searched sales store is the same as the recommended product, and when determining that the recommended product is the same, the recommended sales store Selecting a product different from the recommended product from the products handled by the product, and recommending a set of the searched store and the selected product to the customer.
The management apparatus of any one of Claim 1 to 4.
When the recommendation unit determines that the featured product associated with the searched dealer and the recommended product are the same, the recommended unit is a product different from the recommended product and the searched sales Select the product with the highest sales in the store,
The management device according to claim 5.
A management method for managing an electronic market in which a plurality of dealers open stores via a network,
An obtaining step for obtaining a recommended product for the customer based on the browsing history or purchase history of the customer;
A search step of searching for a store that sells the acquired recommended product in the electronic market;
A recommended step of recommending to the customer a set of the searched dealer and a feature product associated with the dealer;
A management method comprising:
A recording medium that records a program executed by a computer that manages an electronic market where a plurality of dealers open stores via a network,
In the computer,
An acquisition procedure for obtaining recommended products for the customer based on the customer's browsing history or purchase history,
A search procedure for searching for a store selling the acquired recommended product in the electronic market;
A recommended procedure for recommending to the customer a set of the searched dealer and a center product associated with the dealer;
A non-transitory recording medium on which a program for executing the program is recorded.
A program that is executed by a computer that manages an electronic market in which a plurality of dealers open stores via a network,
In the computer,
An acquisition procedure for obtaining recommended products for the customer based on the customer's browsing history or purchase history,
A search procedure for searching for a store selling the acquired recommended product in the electronic market;
A recommended procedure for recommending to the customer a set of the searched dealer and a center product associated with the dealer;
A program that executes