WO2016001961A1 - Information processing device, information processing method, and program - Google Patents

Abstract

An information processing device comprising a communication unit which can communicate with a user terminal and also comprising a storage unit and a control unit, wherein: the storage unit stores a plurality of sets of product information, each set of product information being associated with one of a plurality of products that can be presented on a web page, and including a plurality of tiers which form a tree structure and to which one or a plurality of product attributes belong; in response to a request from the user terminal, the control unit transmits, to the user terminal, a web page which shows both a product to be viewed, selected from among the plurality of products, and a first group of recommended products that are extracted on the basis of association with the product to be viewed; and if the user terminal specifies a first product that is among the first group of recommended products and that has a different attribute for the first tier of the plurality of tiers than the product to be viewed, then the control unit extracts, from the first group of recommended products, a second group of recommended products which have the same attribute for the first tier as the first product, and replaces the first group of recommended products with the second group of recommended products.

Description

Information processing apparatus, information processing method, and program

The present invention relates to an information processing apparatus, an information processing method, and a program capable of providing an EC (Electronic Commerce) site service on the Internet.

2. Description of the Related Art Conventionally, a technique for recommending another product to a user who browses the web page by displaying another product on a web page displaying a certain purchase target product on an EC site is known. . For example, Patent Literature 1 describes a recommendation device capable of recommending products that have been narrowed down in consideration of the order in which a user purchases.

JP 2011-48845 A

However, in the configuration described in Patent Document 1, the recommended product does not always match the user's own preference. In addition, when the image of the product that the user wants to purchase is vague, it is difficult to reach the product that matches the image.

In view of the circumstances as described above, an object of the present invention is to provide an information processing apparatus, an information processing method, and a program capable of recommending a product that matches a user's image.

In order to solve the above-described problem, an information processing apparatus according to an embodiment of the present invention includes a communication unit and a control unit.
The communication unit is configured to be able to communicate with a user terminal.
The storage unit stores a plurality of product information respectively associated with a plurality of products that can be introduced on a web page, each including a plurality of hierarchies to which one or more attributes of each product belong and have a tree structure. To do.
In response to a request from the user terminal, the control unit includes a web on which a browsing target product among the plurality of products and a first recommended product group extracted in association with the browsing target product are posted. The page is transmitted to the user terminal.
When the first product of the first recommended product group is designated from the user terminal, the browsing target product and the first product of the plurality of hierarchies are selected from the first recommended product group. And extracting a second recommended product group having an attribute common to the first product in the first hierarchy to which an attribute different from the above belongs, and updating the first recommended product group to the second recommended product group. .

According to the above configuration, the same type of product that the user is interested in in the first recommended product group is extracted as the second recommended product group, and the first recommended product group is updated to the second recommended product group. can do. Therefore, it is possible to narrow down recommended products to products that match the user's image.

In addition, the control unit
When the second product in the second recommended product group is specified by the user terminal after transmitting the web page on which the browsing target product and the second recommended product group are posted to the user terminal. , Extracting a third recommended product group having a common second hierarchy lower than the first hierarchy from the second recommended product group, and extracting the second recommended product group to the third recommended product group. May be updated.

As a result, in the second recommended product group, the same type of product as the user is interested in can be made the third recommended product group, and the recommended product can be further narrowed down to products that match the user's image. It becomes.

Furthermore, the control unit
You may repeat the said process until the recommended goods group which the attribute of the lowest hierarchy is common among the said several hierarchy is extracted.

In addition, the control unit
A hierarchy having different attributes for the browsing target product and the first product and having the highest level may be selected as the first level.

This makes it possible to gradually narrow down the recommended product group in a genre different from the browse target product. Therefore, even when the user has only a vague image of the recommended product to be purchased, the product can be squeezed in stages, and sufficient room for consideration can be given.

In addition, the control unit
When the first recommended product group is updated to the second recommended product group, the browsing target product and the second recommended product group may be posted on the same web page.

This makes it easier to compare the browse target product and the second recommended product group, and to easily consider the product purchased in combination with the browse target product from the second recommended product group.

An information processing method according to another aspect of the present invention may be introduced on a web page including a plurality of hierarchies each having a tree structure to which one or more attributes of each product belong, respectively, in response to a request from a user terminal. Transmitting a web page on which a browsing target product among a plurality of possible products and a first recommended product group extracted in association with the browsing target product are posted to the user terminal;
When the first product of the first recommended product group is designated from the user terminal, the browsing target product and the first product of the plurality of hierarchies are selected from the first recommended product group. And extracting a second recommended product group having an attribute common to the first product in the first hierarchy to which an attribute different from the above belongs, and updating the first recommended product group to the second recommended product group. Steps.

A program according to another embodiment of the present invention is provided in an information processing device.
In response to a request from the user terminal, one or a plurality of attributes of each product belong to each of a plurality of hierarchies each having a tree structure and can be introduced on a web page; Transmitting a web page on which the first recommended product group extracted in association with the browsing target product is posted to the user terminal;
When the first product of the first recommended product group is designated from the user terminal, the browsing target product and the first product of the plurality of hierarchies are selected from the first recommended product group. And extracting a second recommended product group having an attribute common to the first product in the first hierarchy to which an attribute different from the above belongs, and updating the first recommended product group to the second recommended product group. Steps and are executed.

As described above, according to the present invention, it is possible to recommend a product according to the user's image. The effects described here do not necessarily limit the present invention, and the present invention only needs to achieve any of the effects described in the present disclosure.

It is the figure which showed the structure of the online shopping mall system which concerns on one Embodiment of this invention. It is the figure which showed the hardware constitutions of the online shopping mall server in the said system. It is the figure which showed the structural example of the database which the said online shopping mall server has. It is a figure which shows an example of the hierarchical structure of the category memorize | stored in the said database. It is a figure which shows an example of the merchandise information database memorize | stored in the said database. It is the flowchart which showed the flow of operation | movement at the time of the said online shopping mall server producing | generating and transmitting a web page according to the request | requirement from a user terminal. It is the figure which showed the example of the goods page on which the browsing object goods and the 1st recommendation goods displayed on the said user terminal were published. It is the figure which showed the example of the goods page after updating to the 2nd recommendation goods displayed on the said user terminal. It is the figure which showed the example of the 3rd recommendation product image published on the product page displayed on the said user terminal.

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

[System configuration]
FIG. 1 is a diagram illustrating a configuration of an information processing system according to the present embodiment.

As shown in the figure, this system includes an online shopping mall server (information processing apparatus) 100 on the Internet 50, a plurality of store terminals 200, and a plurality of user terminals 300.

The online shopping mall server 100 is a server managed by the operating company of the online shopping mall site, and is connected to the store terminal 200 and the user terminal 300 via the Internet 50. In response to an access request from the user terminal 300, the online shopping mall server 100 transmits, for example, a web page (HTML (HyperText Markup Language) document) of the online shopping street, and performs processing related to product search, purchase, and the like Can do.

The store terminal 200 is a terminal device that is used by a store opening in an online shopping mall. The store terminal 200 receives a web page from the online shopping mall server 100 and displays it by accessing a server device such as the online shopping mall server 100 based on an operation from a store employee or the like. The store terminal 200 incorporates software such as a browser and an e-mail client.

The user terminal 300 is a terminal device of a user who uses the online shopping mall. The user terminal 300 receives and displays a web page from the online shopping mall server 100 by accessing the online shopping mall server 100 based on an operation from the user. Software such as a browser and an e-mail client is incorporated in the user terminal 300. The user terminal 300 is, for example, a personal information terminal such as a PC (Personal Computer), a tablet terminal, a tablet PC, or a smartphone.

[Hardware configuration of online shopping mall server]
FIG. 2 is a diagram illustrating a hardware configuration of the online shopping mall server 100. As shown in FIG. 1, the online shopping mall server 100 connects a central processing unit (CPU) 11, a read only memory (ROM) 12, a random access memory (RAM) 13, an input / output interface 15, and these components to each other. A bus 14 is provided.

The CPU 11 appropriately accesses the RAM 13 or the like as necessary, and performs overall control of each block of the online shopping mall server 100 while performing various arithmetic processes. The ROM 12 is a non-volatile memory in which an OS to be executed by the CPU 11, firmware such as programs and various parameters are fixedly stored. The RAM 13 is used as a work area for the CPU 11 and temporarily holds the OS, various applications being executed, and various data being processed.

A display unit 16, an operation receiving unit 17, a storage unit 18, a communication unit 19 and the like are connected to the input / output interface 15.

The display unit 16 is a display device using, for example, an LCD (Liquid Crystal Display), an OELD (Organic ElectroLuminescence Display), a CRT (Cathode Ray Tube), or the like.

The operation receiving unit 17 is, for example, a pointing device such as a mouse, a keyboard, a touch panel, and other input devices. When the operation reception unit 17 is a touch panel, the touch panel can be integrated with the display unit 16.

The storage unit 18 is, for example, a nonvolatile memory such as an HDD (Hard Disk Drive), a flash memory (SSD; Solid State Drive), or other solid-state memory. The storage unit 18 stores the OS, various applications, and various data.

The communication unit 19 is, for example, an NIC (Network Interface Card) for Ethernet, and performs communication processing between the store terminal 200 and the user terminal 300.

Although not shown, the hardware configurations of the store terminal 200 and the user terminal 300 are the same as those of the online shopping mall server 100.

[Database configuration of the online shopping mall server]
FIG. 3 is a diagram illustrating a configuration example of a database included in the online shopping mall server 100. In the following description, it is assumed that the product is a fashion item such as clothes, shoes, and fashion accessories.

As shown in the figure, the online shopping mall server 100 has at least a category database 181, a merchandise information database 182, and a user information database 183 in the storage unit 18.

The category database 181 stores information on each category ID, category name, and parent category ID. The “category” here refers to a hierarchy to which one or more attributes of each product belong, and the plurality of categories have a tree structure. The tree structure has a configuration in which one or more child categories are hung from one parent category.

FIG. 4 is a diagram showing an example of a hierarchical structure of categories. For the sake of explanation, some of the categories shown in the figure are omitted. In the example shown in the figure, category 1 shows the ladies' or men's attribute of each product, category 2 shows the type of fashion item, category 3 shows the color attribute of each fashion item, and so on.

FIG. 5 is a diagram illustrating an example of the product information database 182. As shown in the figure, the product information database 182 stores product information such as a product ID, a store ID of the product, a product name, and a category. In addition, although not shown, the product information database 182 may store a product number, product description, price, delivery method, and the like.

The user information database 183 includes user attributes such as user ID, password, nickname, name, date of birth, gender, postal code, address, telephone number, and e-mail address of the user registered as a member of the online shopping mall site. Are stored in association with each user.

In addition to the above, the storage unit 18 can store data such as the purchase history of each product and the browsing history of each product page.

[Operation of the online shopping mall server]
Next, the operation of the online shopping mall server 100 configured as described above will be described. The operation is executed in cooperation with hardware such as the CPU 11 and the communication unit 19 of the online shopping mall server 100 and software stored in the storage unit 18 of the online shopping mall server 100. In the following description, for the sake of convenience, the CPU 11 is an operation subject.

FIG. 6 is a flowchart showing an operation flow when the online shopping mall server 100 generates and transmits a web page in response to a request from the user terminal 200.

As shown in FIG. 6, first, the CPU 11 of the online shopping mall server 100 determines whether or not a transmission request for a web page on which a browsing target product among a plurality of products is posted has been received from the user terminal 300 (step). 61).

When it determines with having received the transmission request (it is Yes at step 61), CPU11 respond | corresponds to the request | requirement from the user terminal 300, the browsing object goods among several goods, and the 1st extracted in relation with the browsing object goods. A web page on which one recommended product group is posted is transmitted to the user terminal 300 (step 62). Hereinafter, a web page on which a browsing target product is posted is referred to as a “product page”. The extraction method of the first recommended product group is not particularly limited. For example, based on the purchase history of the product or the browsing history of the product page, products on other product pages viewed by a plurality of users who purchased the product to be viewed Etc. can be extracted as the first recommended product.

FIG. 7 is an example of a product page displayed on the display unit of the user terminal 300. As shown in the figure, the product page 310 includes a browse target product image 311, a product description 312, a shopping cart registration button 313, and a first recommended product group image 314. For example, the browsing target product is men's pants. The product page 310 may include information such as payment / delivery information explanation, other buttons, etc., although not shown.

The URL of each product page is linked to each product image of the first recommended product group image 314. In this case, the first recommended product group image 314 includes men's pants images 314b and 314d that are different from the browse target product, as well as men's jacket images 314a and men's shoes images 314c. Images of products other than pants are also included.

In addition, as the first recommended product group, many products other than the products shown in FIG. 7 are extracted. For example, when the cursor 315 is clicked, images of other products included in the first recommended product group are displayed. It can be configured to be switched and displayed.

Subsequently, the CPU 11 determines whether or not the first product in the first recommended product group is designated by the user terminal 300 (step 63). The first product is, for example, a men's jacket corresponding to the image 314a. The “designation” of the first product here means that a predetermined operation such as a mouse over the image 314a of the first product or a tap operation on the image 314a of the first product is performed. This means that the first product is designated. Note that the product page of the first product corresponding to the URL linked to the image 314a is displayed on the image 314a of the first product by an operation other than the above operation (such as a click operation or a long touch operation). May be configured.

When it determines with the 1st goods having been specified (it is Yes at Step 63), CPU11 belongs to a 1st recommendation goods group from which a different attribute belongs to a browsing object goods and the 1st goods among a plurality of hierarchies. A second recommended product group having an attribute common to the first product in one hierarchy is extracted (step 64). In the present embodiment, the CPU 11 selects, as the first hierarchy, the highest hierarchy that is a hierarchy to which different attributes belong to the browsing target product and the first product.

The second recommended product group extraction method will be described with reference to FIGS. First, the category of men's pants, which is a product to be browsed, is “men> pants>. Similarly, the category of the men's jacket, which is the first product, is "men's> jacket> ...". In this case, category 1 “men” is common to both, but category 2 is different between “pants” and “jacket”. Therefore, the above-mentioned “first hierarchy and the highest hierarchy to which different attributes belong” is category 2. Next, the category 2 of the men's jacket which is the first product is “jacket”. Thereby, CPU11 can extract the product which belongs to the category of "Men's> Jacket" from the 1st recommended product group, and can extract the 2nd recommended product group.

Subsequently, the CPU 11 updates the first recommended product group to the second recommended product group (step 65). At this time, for example, the CPU 11 can post the browsing target product and the second recommended product group on the same product page. Further, “update” here refers to switching the display of the first recommended product group to the display of the second recommended product group, and the specific processing method is not particularly limited. For example, the online shopping mall server 100 may transmit the image data of the second recommended product group to the user terminal 300 so as to switch the display of the recommended product on the product page. Alternatively, the online shopping mall server 100 may generate a new product page and transmit it to the user terminal 300.

FIG. 8 shows an example of the product page updated to the second recommended product group displayed on the display unit of the user terminal 300. As shown in the figure, the product page 320 includes a second recommended product group image 324 and the like in addition to the browse target product image 311, the product description 312, and the shopping cart registration button 313. Similar to the first recommended product group image 314, each product image of the second recommended product group image 324 is linked to the URL of each product page.

As shown in the figure, the second recommended product group image 324 includes, for example, a navy jacket image 324a, a beige jacket image 324b, a gray jacket image 324c, and a black jacket image 324d. Including images of jackets of various colors. As the second recommended product group, a number of products other than the products shown in FIG. 8 may be extracted as in the first recommended product group. When the cursor 325 is clicked, the product is shown in FIG. An image of a product other than the product may be displayed.

Subsequently, the CPU 11 determines whether or not the second product of the second recommended product group is designated by the user terminal 300 (step 66). The second product is, for example, a beige jacket corresponding to the image 324b. Similar to the first product, the second product can be designated by a predetermined operation such as a mouse-over or a tap operation.

When it determines with the 2nd goods having been designated (it is Yes at Step 66), CPU11 is the 2nd hierarchy which is lower than the 1st hierarchy among a plurality of hierarchies from the 2nd recommended goods group. Three recommended product groups are extracted (step 67).

Referring to FIGS. 4 and 5 again, a third recommended product group extraction method will be described. As described above, since the first hierarchy is category 2 shown in FIG. 4, the second hierarchy lower than the first hierarchy is category 3. Since the category 3 of the beige jacket which is the second product is “beige”, the CPU 11 extracts products belonging to the category “Men> Jacket> Beige” from the second recommended product group. Then, the third recommended product group can be extracted.

Subsequently, the CPU 11 updates the second recommended product group to the third recommended product group (step 68). At this time, the CPU 11 can place the browsing target product and the third recommended product group on the same product page as in Step 65.

FIG. 9 is a diagram illustrating an example of a third recommended product group image posted on the product page displayed on the display unit of the user terminal 300. As shown in the figure, the third recommended product group image 334 includes, for example, images 334 a to 334 d of different beige jackets. Note that each product image 334a to 334d of the third recommended product group image 334 is linked with the URL of each product page, as with the first recommended product group image 314. Further, as the second recommended product group, a number of products other than the products shown in FIG. 9 may be extracted as in the first recommended product group. An image of a product other than the product shown may also be displayed.

Thereby, the user can consider purchasing a product included in the third recommended product group by performing a click operation, a long touch operation, or the like on an image of a favorite product in the third recommended product group.

As described above, according to the present embodiment, when a product (first product and second product) that the user is interested in is selected from the recommended products related to the browse target product that is a product that the user wants, Products having the same attributes as the product are narrowed down. Therefore, even when the user cannot find the desired product from the first recommended product group, it is possible to gradually narrow down the product based on interests and preferences, and to reach the desired product efficiently. Can do. Further, in the above processing, even when the product group is narrowed down to a lower hierarchy, it is possible to give abundant options to the user.

In addition, since the first hierarchy is a hierarchy to which different attributes belong to the first product designated by the user and the browse target product, the browse target product and the second recommended product group are set to products of different genres. Can do. This makes it possible to consider purchasing not only the browsing target products but also products used in combination with the browsing target products and products of a genre other than the browsing target products. Therefore, it is possible to give the user purchase opportunities for various products.

Furthermore, according to the present embodiment, since the browse target product does not change even if the recommended product group is updated, the browse target product is compared with the second recommended product group and the third recommended product group on the product page. It becomes easy. This makes it easy for the user to consider a better combination of products for viewing.

[Modification]
The present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the scope of the present disclosure.

In the above-described embodiment, the example in which the browsing target product and the second recommended product group are posted on the same web page is shown, but the present invention is not limited to this. For example, when the first recommended product is updated to the second recommended product group, the browsing target product may be changed to the first product or the like.

In the above-described embodiment, an example is shown in which the process ends after the second recommended product group is updated to the third recommended product group. For example, the first recommended product group is the second recommended product group. The processing may end after the update. Alternatively, after updating to the third recommended product group according to the number of categories, the CPU 11 may repeat the same process to extract the fourth recommended product group.

Further, the above process may be repeated until the CPU 11 extracts a recommended product group having a common attribute of the lowest hierarchy among a plurality of hierarchies. For example, when the lowest hierarchy is category 3 as in the above-described embodiment, the process can be repeated until a recommended product group having the same category 3 attribute is extracted. Alternatively, when category 4 having the attribute “size” is provided as the lowest hierarchy, the process may be repeated until a recommended product group having the same “size” is extracted.

In the above-described embodiment, it has been described that the CPU 11 selects the highest hierarchy as the first hierarchy, which is a hierarchy to which different attributes belong to the browsing target product and the first product, but is not limited thereto. For example, the CPU 11 may select the second highest hierarchy as the first hierarchy in the hierarchy to which different attributes belong to the browsing target product and the first product, or select the lower hierarchy as the first hierarchy. It may be selected as a hierarchy.

For example, the processing of the CPU 11 described with reference to FIG. 6 or the like may be started after receiving a processing start request from the user terminal 300. In this case, for example, after a “product narrowing button” or the like is arranged around the first recommended product group image on the product page and the CPU 11 determines that a click operation or the like of the button has been received, the processing may be started. .

In the above-described embodiment, the browsing target product is an example of a fashion item, but the present invention is not limited to this. For example, the browsing target product may be a product of various genres such as food, sundries, books, electronic books, music CDs, DVDs such as movies, game software, music / video / games distributed on the Internet.

Further, in the above-described embodiment, the category attributes, the number of hierarchies, and the like are examples, and are not limited thereto. In addition, the category attributes, the number of hierarchies, and the like can be changed according to the genre of the product.

In the above-described first embodiment, the example in which the present invention is applied to the online shopping mall system is shown, but it may be applied to other services such as online shopping other than the online shopping mall, Internet auction, and the like.

11 ... CPU
DESCRIPTION OF SYMBOLS 18 ... Memory | storage part 19 ... Communication part 50 ... Internet 100 ... Electronic mall server (information processing apparatus)
200 ... store terminal 300 ... user terminal

Claims (7)

A communication unit capable of communicating with the user terminal;
A storage unit that stores a plurality of product information respectively associated with a plurality of products that can be introduced on a web page, each including a plurality of hierarchies each having one or more attributes of each product and having a tree structure;
In response to a request from the user terminal, a web page on which a browsing target product among the plurality of products and a first recommended product group extracted in association with the browsing target product are posted is the user terminal. Send to
When the first product in the first recommended product group is designated from the user terminal, the browsing target product and the first product in the plurality of hierarchies from the first recommended product group. And extracting a second recommended product group having an attribute common to the first product in a first hierarchy to which an attribute different from the above belongs, and updating the first recommended product group to the second recommended product group An information processing apparatus comprising a control unit. The information processing apparatus according to claim 1,
The controller is
When a second product in the second recommended product group is specified by the user terminal after transmitting the web page on which the browse target product and the second recommended product group are posted to the user terminal. The third recommended product group is extracted from the second recommended product group, and the second recommended product group is shared by the second hierarchical level lower than the first hierarchical level, and the second recommended product group is extracted from the second recommended product group. Update to information processing device. An information processing apparatus according to claim 2,
The controller is
The information processing apparatus that repeats the above-described process until a recommended product group having a common attribute of the lowest hierarchy among the plurality of hierarchies is extracted. The information processing apparatus according to claim 1,
The controller is
An information processing apparatus that selects, as a first hierarchy, a hierarchy that is a hierarchy to which different attributes belong to the browsing target product and the first product. The information processing apparatus according to claim 1,
The controller is
An information processing apparatus that publishes the browsing target product and the second recommended product group on the same web page when the first recommended product group is updated to the second recommended product group. In response to a request from the user terminal, one or a plurality of attributes of each product belong to each of a plurality of hierarchies each having a tree structure and can be introduced on a web page; A web page on which the first recommended product group extracted in association with the browse target product is transmitted to the user terminal;
When the first product in the first recommended product group is designated from the user terminal, the browsing target product and the first product in the plurality of hierarchies from the first recommended product group. And extracting a second recommended product group having an attribute common to the first product in a first hierarchy to which an attribute different from the above belongs, and updating the first recommended product group to the second recommended product group Information processing method. In the information processing device,
In response to a request from the user terminal, one or a plurality of attributes of each product belong to each of a plurality of hierarchies each having a tree structure and can be introduced on a web page; Transmitting a web page on which the first recommended product group extracted in association with the browse target product is posted to the user terminal;
When the first product in the first recommended product group is designated from the user terminal, the browsing target product and the first product in the plurality of hierarchies from the first recommended product group. And extracting a second recommended product group having an attribute common to the first product in a first hierarchy to which an attribute different from the above belongs, and updating the first recommended product group to the second recommended product group A program that executes steps and.

Images