JP7139294B2 - Provision device, provision method and provision program - Google Patents

Description

The present invention relates to a provision device, a provision method, and a provision program.

Conventionally, there has been provided a service of an electronic shopping mall that allows purchase of transaction objects sold by a plurality of business operators. As an example of such a service, there is known a technique of proposing a transaction target selected according to a user's attributes.

JP 2013-205875 A JP 2014-186582 A

However, in the above-described conventional technology, there are cases where it cannot be said that the transaction target desired by the user is proposed.

For example, the above-described conventional technology only proposes transaction objects having attributes corresponding to pre-registered user attributes. Therefore, if an appropriate attribute is not given to the transaction object, there is a possibility that the transaction object desired by the user cannot be proposed.

The present application has been made in view of the above, and aims to provide a providing device, a providing method, and a providing program capable of proposing a transaction target desired by a user.

A provision device according to the present application includes an extraction unit that extracts evaluation information indicating evaluation content from a character string input by a user as an evaluation of an evaluation target, and a first evaluation target viewed by the user that is similar to the evaluation information. and a providing unit for providing the user with information on the second evaluation target.

According to one aspect of the embodiment, there is an effect that a transaction target desired by the user can be proposed.

FIG. 1 is a diagram illustrating an example of provision processing executed by a provision device according to an embodiment. FIG. 2 is a diagram illustrating a configuration example of a provision system according to the embodiment. FIG. 3 is a diagram showing an example of a transaction target database according to the embodiment. FIG. 4 is a diagram illustrating an example of an evaluation database according to the embodiment; FIG. 5 is a flowchart illustrating an example of the flow of provision processing executed by the provision device according to the embodiment. FIG. 6 is a hardware configuration diagram showing an example of a computer that implements the functions of the providing device.

Embodiments for implementing the provision device, the provision method, and the provision program (hereinafter referred to as "embodiments") according to the present application will be described in detail below with reference to the drawings. Note that the provision device, the provision method, and the provision program according to the present application are not limited by this embodiment. Further, each embodiment can be appropriately combined within a range that does not contradict the processing contents. Also, in each of the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[1. Example of provision processing indicated by provision device]
An example of provision processing executed by the provision device 100 according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of provision processing executed by the provision device 100 according to the embodiment. Specifically, the providing apparatus 100 extracts evaluation information indicating the contents of the evaluation from the character string input by the user as the evaluation of the evaluation target, and the evaluation information is similar to the first evaluation target viewed by the user. Provide the user with information about the secondary evaluation object.

The evaluation target here is a transaction target, such as a product or service. In addition, below, it demonstrates as a thing with a transaction object as a commodity. Also, the evaluation of the evaluation target as used herein may be any information as long as it is information regarding the evaluation of a product or service. For example, an evaluation is a review posted by an evaluator, an article such as a blog review of a product or service, or a keyword indicating posted information about a product or service posted on an SNS (Social Networking Service) and the posted information. . In the following description, it is assumed that the evaluation is a review posted by an evaluator.

An example of provision processing by the provision device 100 will be described below along the flow with reference to FIG. 1 .

First, as shown in FIG. 1, the providing device 100 receives a character string representing an evaluation of each product as a review from the evaluator terminal 20 (step S1). For example, in the example of FIG. 1, the providing apparatus 100 sets the review R1 for the T-shirt posted by the evaluator RW1 as "I bought it as a gift. It is made of cotton and is comfortable to wear, and it is sufficiently luxurious." accept.

For example, in the example of FIG. 1, the providing device 100 receives "The zipper is a little stiff, but I like the texture."

For example, in the example of FIG. 1, the providing apparatus 100 writes "these are cotton pants that are very comfortable to wear. They also have a luxurious feel, and I really like them" as the review R3 for the pants posted by the evaluator RW3. Accept.

Subsequently, the providing apparatus 100 extracts, as evaluation information, a character string indicating evaluation content such as usability from each review (step S2). Accordingly, the providing apparatus 100 can extract character strings from the reviews that make it easy for the user to imagine that the product will actually be used. In this way, the providing device 100 can extract a character string that has a strong appealing effect to the user.

Specifically, the providing apparatus 100 extracts evaluation information indicating the content of the evaluation from the character string input by the evaluator as the evaluation of the evaluation target. More specifically, the providing apparatus 100 extracts a character string indicating the evaluation of the evaluation target as the evaluation information. For example, the providing apparatus 100 extracts, as evaluation information, a character string indicating the evaluation of the characteristics of the evaluation target and a character string indicating the characteristics to be evaluated.

For example, in the example of FIG. 1, the providing apparatus 100 selects "luxury" as the evaluation of the characteristics of the evaluation target from among the reviews R1, and "cotton" as the character string indicating the characteristic of the evaluation object. Extract.

It should be noted that such extraction of each character string can be realized by various character string extraction techniques and syntactic analysis techniques. For example, the providing apparatus 100 performs morphological analysis of a character string, extracts each word, identifies the part of speech of each word, identifies the structure of the sentence, and converts each character string based on the identified structure. Extract.

Then, the providing device 100 receives a product selection from the user terminal 10 (step S3). For example, in the example of FIG. 1, the provision device 100 receives selection of a cotton T-shirt from the user terminal 10 used by the user U1.

Subsequently, the provision device 100 identifies other products whose evaluation information is similar to the selected product (step S4). In other words, the providing apparatus 100 can identify products that are expected to have a strong desire to purchase by the user.

Specifically, the providing apparatus 100 identifies a second evaluation target whose evaluation information is similar to the first evaluation target browsed by the user. Specifically, the providing apparatus 100 identifies an evaluation target whose extracted evaluation information is similar to the evaluation information selected by the user as the second evaluation target.

More specifically, the providing apparatus 100 identifies a second evaluation target whose evaluation context is similar to that of the first evaluation target indicated by the evaluation information. Note that the evaluation context referred to here is the context regarding the user's evaluation of the product. For example, the evaluation context may be the use of the product at the time, place, and occasion, or the feeling of use of the product.

For example, the providing apparatus 100 identifies, as the second evaluation target, an evaluation target from which more evaluation information similar to the evaluation information extracted from the evaluation of the first evaluation target is extracted, among the evaluation targets.

For example, the provision device 100 may provide a predetermined Identify other products that have the number of similar evaluation information equal to or greater than the threshold of .

For example, in the example of FIG. 1, the providing apparatus 100 is the selected product "Cotton T-shirt", which is the evaluation information "cotton", and the other products whose evaluation information includes "luxury". Identify "pants".

Note that the embodiment does not have to be limited to the above example. Specifically, the providing apparatus 100 may identify a plurality of second evaluation targets. For example, the provision device 100 may specify “pants” and “cotton shirts”, which are other products whose evaluation information is similar to the selected product “cotton T-shirt”. Although an example in which the provision apparatus 100 specifies two products is given here, the provision apparatus 100 may specify any number of products.

Then, the provision device 100 generates content in which the product information and reviews of the selected product and the product information and reviews of the specified product are arranged (step S5). For example, in the example of FIG. 1, the providing device 100 generates content C1.

In this case, the content C1 contains the product image of the selected product, the cotton T-shirt, the price of "1200 yen", and the review of everyone, "Purchased as a present. There is also enough feeling.” In addition, the content C1 includes a product image of pants as a similar product similar to the selected product, and content such as "these are cotton pants that are very comfortable to wear. They also have a luxurious feel...".

Subsequently, the providing device 100 provides the generated content to the user terminal 10 (step S6). As a result, the providing apparatus 100 can provide content that is highly appealing to the user.

Specifically, the providing device 100 provides the user with information about the second evaluation target. Specifically, the providing apparatus 100 further uses similar information, which is evaluation information similar to the evaluation information extracted from the evaluation of the first evaluation target, among the evaluation information extracted from the evaluation of the second evaluation target. provided to those

More specifically, the providing apparatus 100 provides similar information as a reason for providing information on the second evaluation object. For example, the providing apparatus 100 provides, for each second evaluation object, information about the second evaluation object and similar information extracted from the evaluation of the second evaluation object.

For example, in the example of FIG. 1, the provision device 100 sends content C1 including information about the selected product, cotton T-shirt, and information about pants, which are similar products similar to the selected product, to the user terminal 10. provide to

Note that the embodiment does not have to be limited to the above example. Specifically, the providing apparatus 100 may provide the user with an evaluation of the second evaluation target in a manner in which similar information is emphasized. For example, in the example of FIG. 1, the providing device 100 may provide the user terminal 10 with content C1 in which cotton and luxury are highlighted. Here, the highlighting may be in any form, and may be display other than enclosing a predetermined character string. For example, the highlighting may be a change in the font of a predetermined character string, a change in bold, italics, or the color of the character string.

Further, specifically, the providing apparatus 100 may provide the evaluation for the first evaluation target with priority over the information regarding the second evaluation target. For example, in the example of FIG. 1, the provision device 100 may provide the user terminal 10 with a review of cotton T-shirts displayed above the content above reviews of similar products.

As described above, the providing apparatus 100 according to the embodiment extracts evaluation information indicating evaluation content from a character string input by the user as an evaluation for an evaluation target. Then, the providing apparatus 100 identifies a second evaluation target whose evaluation information is similar to the first evaluation target browsed by the user. Then, the providing device 100 provides the user with information on the second evaluation target. As a result, the provision device 100 according to the embodiment can propose a transaction target desired by the user.

This point will be explained. In the example of FIG. 1, the providing apparatus 100 extracts, as evaluation information, a character string indicating evaluation details such as usability from each review. can do. As a result, the providing apparatus 100 can extract a character string that is highly appealing to the user.

Then, the providing device 100 identifies other products whose evaluation information is similar to the selected product, and provides the user terminal 10 with content related to the other products. As a result, the providing apparatus 100 can specify a product for which the user is expected to have a strong desire to purchase, and thus can provide content that is highly appealing to the user. In this way, the providing device 100 can propose a transaction target desired by the user.

[2. Configuration of the provision system]
Next, the configuration of the provision system 1 according to the embodiment will be described using FIG. FIG. 2 is a diagram showing a configuration example of the provision system 1 according to the embodiment. As shown in FIG. 2 , the provision system 1 includes a user terminal 10 , an evaluator terminal 20 and a provision device 100 . The user terminal 10, the evaluator terminal 20, and the provision device 100 are connected via a network N so as to be communicable by wire or wirelessly. The provision system 1 shown in FIG. 2 may include a plurality of user terminals 10, a plurality of evaluator terminals 20, and a plurality of provision devices 100. FIG.

The user terminal 10 according to the embodiment is an information processing device used by a user who accesses content such as web pages displayed on a browser and content for applications. For example, the user terminal 10 is a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a mobile phone, a PDA (Personal Digital Assistant), or the like.

The evaluator terminal 20 according to the embodiment is an information processing device used by an evaluator who accesses content. For example, the evaluator terminal 20 is a desktop PC, a notebook PC, a tablet terminal, a mobile phone, a PDA, or the like.

The provision device 100 according to the embodiment is realized by, for example, a server device. Specifically, the providing apparatus 100 extracts evaluation information indicating the content of the evaluation from the character string input by the user as the evaluation of the evaluation target. Then, the providing apparatus 100 identifies a second evaluation target whose evaluation information is similar to the first evaluation target browsed by the user. Then, the providing device 100 provides the user with information on the second evaluation target.

[3. Configuration of Providing Device]
Also, the configuration of the provision device 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the provision device 100 according to the embodiment. As shown in FIG. 2, the provision device 100 has a communication unit 110, a storage unit 120, and a control unit .

(Regarding communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is wired or wirelessly connected via the network N, and transmits and receives information between the user terminal 10 and the evaluator terminal 20 .

(Regarding storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 has a transaction target database 121 and an evaluation database 122 .

(Regarding transaction target database 121)
The transaction object database 121 according to the embodiment stores information about transaction objects. Here, FIG. 3 shows an example of the transaction target database 121 according to the embodiment. In the example shown in FIG. 3, the transaction object database 121 has items such as "transaction object ID (Identifier)", "seller ID", "object information", "category", "price", and "content".

"Transaction object ID" is an identifier for identifying a transaction object. “Seller ID” is an identifier that identifies the seller associated with the “transaction target ID”. Note that the "seller ID" may be an identifier that identifies a store that sells the transaction target.

"Target information" is information related to the description of the transaction target associated with the "transaction target ID". "Category" is information on the category of the transaction object associated with the "transaction object ID". “Price” is information about the price of the transaction object associated with the “transaction object ID”. "Contents" is information about contents used when selling the transaction object associated with the "transaction object ID".

For example, in FIG. 3, "PID #1" identified by the transaction target ID has a seller ID of "BID #1", target information of "target information #1", and category of "category #1 , the price is "price #1", and the content is "content #1". In the example shown in FIG. 3, the target information and the like are represented by abstract codes such as "target information #1", but the target information and the like may be in a specific file format or the like.

(Regarding the evaluation database 122)
The evaluation database 122 according to the embodiment stores evaluation information. Here, FIG. 4 shows an example of the evaluation database 122 according to the embodiment. In the example shown in FIG. 4, the evaluation database 122 has items such as "evaluation ID", "posted content", "evaluation information", "evaluation target", and "evaluator ID".

“Evaluation ID” is an identifier that identifies evaluation information corresponding to an evaluation target. The “posted content” is the content posted by the evaluator associated with the “evaluation ID”. “Evaluation information” is information indicating the content evaluated by the evaluator associated with the “evaluation ID”. The “evaluation object” is information about the transaction object evaluated by the evaluator associated with the “evaluation ID”. The “evaluator ID” is an identifier that identifies the evaluator associated with the “evaluation ID”.

For example, in FIG. 4, "RID#1" identified by the evaluation ID has a posted content of "character string #1" and evaluation information of "evaluation information #1-1, evaluation information #1-2, . . . ”, the evaluation target is “PID#1”, and the evaluator ID is “RWID#1”. Note that in the example shown in FIG. 4, the posted content and the like are represented by the abstract code of "character string #1", but the posted content and the like may be in a specific file format or the like.

(Regarding the control unit 130)
The control unit 130 is a controller. For example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like controls various programs (an example of a provision program) stored in a storage device inside the provision device 100. equivalent) is implemented by executing the RAM as a work area. Also, the control unit 130 is a controller, and is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 2, the control unit 130 includes an evaluation receiving unit 131, an extracting unit 132, a selection receiving unit 133, a specifying unit 134, a presenting unit 135, and a providing unit 136, which will be described below. implements or performs the functions and actions of the provided process. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 2, and may be another configuration as long as it performs the providing process described later. Moreover, the connection relationship between the processing units of the control unit 130 is not limited to the connection relationship shown in FIG. 2, and may be another connection relationship.

(Regarding the evaluation reception unit 131)
The evaluation receiving unit 131 receives from the evaluator terminal 20 a character string indicating the evaluation of each product as a review. For example, in the example of FIG. 1, the evaluation reception unit 131 sets the review R1 for the T-shirt posted by the evaluator RW1 as "I bought it as a present. It is made of cotton and is comfortable to wear, and it is sufficiently luxurious. ” is accepted.

For example, in the example of FIG. 1, the evaluation receiving unit 131 receives, as a review R2 of the infant dress posted by the evaluator RW2, "The zipper is a little stiff, but the texture is good, so I like it."

For example, in the example of FIG. 1, the evaluation reception unit 131 gives the review R3 for the pants posted by the evaluator RW3, "These are cotton pants that are very comfortable to wear. They also have a luxurious feel, so I really like them." accept.

(Regarding the extraction unit 132)
The extraction unit 132 extracts evaluation information indicating evaluation content from the character string input by the evaluator as the evaluation of the evaluation target. Specifically, the extracting unit 132 extracts, as the evaluation information, a character string indicating the evaluation of the evaluation target. For example, the extracting unit 132 extracts, as the evaluation information, a character string indicating the evaluation of the characteristics of the evaluation target and a character string indicating the characteristics to be evaluated.

For example, in the example of FIG. 1, the extracting unit 132 selects "luxury" as the evaluation of the characteristics of the evaluation target from among the reviews R1, and "cotton" as the character string indicating the characteristics of the evaluation object. Extract.

(Regarding Selection Receiving Unit 133)
The selection accepting unit 133 accepts product selection from the user terminal 10 . For example, in the example of FIG. 1, the selection reception unit 133 receives selection of a cotton T-shirt from the user terminal 10 used by the user U1.

Note that the selection receiving unit 133 is not limited to the above example, and may receive a search query. The selection reception unit 133 may also provide the content or evaluation of the transaction target corresponding to the selected search result.

(Regarding the identification unit 134)
The specifying unit 134 specifies a second evaluation target whose evaluation information is similar to the first evaluation target browsed by the user. The specifying unit 134 also specifies an evaluation target whose extracted evaluation information is similar to the evaluation information selected by the user as a second evaluation target.

Specifically, the identifying unit 134 identifies a second evaluation target whose evaluation context is similar to that of the first evaluation target indicated by the evaluation information. For example, the identifying unit 134 identifies, as the second evaluation target, an evaluation target from which more evaluation information similar to the evaluation information extracted from the evaluation of the first evaluation target is extracted.

For example, the identifying unit 134 identifies a product that has been viewed by the user in the past, a product that is currently viewed by the user, or another product that has evaluation information similar to that of a product selected by the user. Identify other products that have the number of similar evaluation information equal to or greater than the threshold of .

For example, in the example of FIG. 1, the identifying unit 134 identifies the selected product "cotton T-shirt" as the evaluation information "cotton" and the other products whose evaluation information includes "luxury". Identify "pants".

Note that the identification unit 134 does not have to be limited to the above example. Specifically, the identifying unit 134 may identify a plurality of second evaluation targets. For example, the identifying unit 134 may identify "pants" and "cotton shirts", which are other products whose evaluation information is similar to the selected product "cotton T-shirt".

(About presentation unit 135)
The presentation unit 135 presents various types of information. Specifically, the presentation unit 135 presents the evaluation information extracted from the evaluation of the first evaluation object in a selectable manner. For example, the presentation unit 135 selectably presents evaluation information extracted from reviews on cotton T-shirts.

(Regarding the providing unit 136)
The providing unit 136 generates information to be provided to the user terminal 10 . For example, in the example of FIG. 1, the provision unit 136 generates the content C1 in which the product information and reviews of the selected product and the product information and reviews of the specified product are arranged.

Also, the providing unit 136 provides various information to the user terminal 10 . Specifically, the providing unit 136 provides the user with information about the second evaluation target. Specifically, the providing unit 136 further uses similar information, which is evaluation information similar to the evaluation information extracted from the evaluation of the first evaluation target, among the evaluation information extracted from the evaluation of the second evaluation target. provided to those

More specifically, the providing unit 136 provides similar information as a reason for providing information about the second evaluation target. For example, the providing unit 136 provides, for each second evaluation target, information about the second evaluation target and similar information extracted from the evaluation of the second evaluation target.

For example, in the example of FIG. 1, the providing unit 136 sends content C1 including information about the selected product, cotton T-shirt, and information about pants, which are similar products similar to the selected product, to the user terminal 10. provide to

Note that the embodiment does not have to be limited to the above example. Specifically, the providing unit 136 may provide the user with an evaluation of the second evaluation target in a manner in which similar information is emphasized. For example, in the example of FIG. 1, the providing unit 136 may provide the user terminal 10 with content C1 in which cotton and luxury are highlighted.

Further, specifically, the providing unit 136 may provide the evaluation for the first evaluation target with priority over the information regarding the second evaluation target. For example, in the example of FIG. 1, the providing unit 136 may provide the user terminal 10 with a review of cotton T-shirts displayed above the content above reviews of similar products.

[4. Processing procedure]
Next, the procedure of provision processing executed by the provision apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 5 is a flowchart showing an example of the flow of provision processing executed by the provision device 100 according to the embodiment.

As shown in FIG. 5, the evaluation reception unit 131 receives an evaluation registration request from the evaluator terminal 20 (step S101). If the evaluation reception unit 131 has not received an evaluation registration request from the evaluator terminal 20 (step S101; No), the process proceeds to step S104.

On the other hand, when the evaluation reception unit 131 receives an evaluation registration request from the evaluator terminal 20 (step S101; Yes), it receives a review of the transaction object from the evaluator terminal 20 (step S102). Then, the extraction unit 132 extracts a character string as evaluation information from the review (step S103).

Then, the selection reception unit 133 determines whether or not a transaction target is selected (step S104). Then, when the selection receiving unit 133 determines that the transaction target is not selected (step S104; No), it returns to before step S101.

On the other hand, when the selection receiving unit 133 determines that a transaction target has been selected (step S104; Yes), the specifying unit 134 specifies another transaction target whose evaluation information is similar to the selected transaction target (step S105).

Then, the providing unit 136 generates content including information and reviews of the selected transaction target and the identified transaction target (step S106). Then, the providing unit 136 emphasizes the evaluation information similar to the evaluation information of the selected transaction object among the evaluation information of other transaction objects (step S107). Then, the providing unit 136 provides the generated content to the user terminal 10 (step S108).

[5. Modification]
The provision device 100 described above may be embodied in various forms other than the above embodiment. Therefore, another embodiment of the providing apparatus 100 will be described below.

[5-1. Specific processing (1) Excluding high-frequency general evaluation information]
In the above-described embodiment, an example of the specifying process of specifying the second evaluation target whose evaluation information is similar to the first evaluation target viewed by the user by the providing apparatus 100 has been described, but the specifying process is not limited to the above-described specifying process. Specifically, the providing apparatus 100 identifies, as feature evaluation information, evaluation information indicating a characteristic evaluation in the category to which the first evaluation target belongs, among the evaluation information extracted from the evaluation of the first evaluation target, and identifies the evaluation information. A second evaluation target from which evaluation information similar to the feature evaluation information obtained is extracted may be specified.

For example, the providing apparatus 100 identifies "comfortable" as the feature evaluation information in the category to which the cotton T-shirt belongs, among the evaluation information extracted from the reviews on the cotton T-shirt. Then, the providing apparatus 100 may specify the "premium cotton T-shirt" for which reviews from which evaluation information such as "comfortable to wear" is extracted have been posted.

In this way, the provision apparatus 100 according to the embodiment identifies, as feature evaluation information, evaluation information indicating a characteristic evaluation in the category to which the first evaluation target belongs, among the evaluation information extracted from the evaluation of the first evaluation target. Then, since the second evaluation object from which the evaluation information similar to the identified feature evaluation information is extracted is specified, the transaction object desired by the user can be proposed.

[5-2. Specific processing (2) Appearance frequency in category]
In the above-described embodiment, an example of the specifying process of specifying the second evaluation target whose evaluation information is similar to the first evaluation target viewed by the user by the providing apparatus 100 has been described, but the specifying process is not limited to the above-described specifying process. Specifically, the providing apparatus 100 determines that the frequency of the evaluation information extracted from the evaluation of the first evaluation object, which is extracted from the evaluation of other evaluation objects belonging to the same category as the first evaluation object, exceeds a predetermined threshold. Lower evaluation information may be used as feature evaluation information.

For example, the providing apparatus 100 determines that the frequency of the evaluation information "good color tone" extracted from the evaluation of the cotton shirt belonging to the same category as the cotton T-shirt among the evaluation information extracted from the review of the cotton T-shirt is a predetermined frequency. If the threshold value is exceeded, the evaluation information that the color tone is good is not taken as feature evaluation information. On the other hand, the providing apparatus 100 may use the evaluation information "high heat retention" as the feature evaluation information when the frequency of the evaluation information "high heat retention" falls below a predetermined threshold.

Note that the modification does not have to be limited to the above example, and the providing apparatus 100 uses evaluation information with a predetermined threshold frequency extracted from evaluations of other evaluation targets belonging to the same category as the first evaluation target. It may be used as evaluation information. Then, the providing apparatus 100 may preferentially provide the user with information related to the second evaluation target having feature evaluation information similar to the feature evaluation information.

For example, the providing apparatus 100 determines that the frequency of the evaluation information “high heat retention” extracted from the evaluation of the cotton shirt belonging to the same category as the cotton T-shirt among the evaluation information extracted from the reviews of the cotton T-shirt is specified. If the threshold is , the evaluation information that "the heat retention is high" may be used as the feature evaluation information. Then, the providing apparatus 100 may preferentially provide the user with information related to "cotton pants" having feature evaluation information similar to the feature evaluation information "high heat retention".

As described above, the providing apparatus 100 according to the embodiment has a predetermined frequency extracted from evaluations of other evaluation objects belonging to the same category as the first evaluation object, among the evaluation information extracted from the evaluation of the first evaluation object. Since the evaluation information below the threshold of is used as the feature evaluation information, it is possible to propose a transaction target desired by the user.

[5-3. Specific processing (3) Appearance frequency in product]
In the above-described embodiment, an example of the specifying process of specifying the second evaluation target whose evaluation information is similar to the first evaluation target viewed by the user by the providing apparatus 100 has been described, but the specifying process is not limited to the above-described specifying process. Specifically, the providing apparatus 100 selects, from among the evaluation information extracted from the evaluation of the first evaluation target, the evaluation information whose frequency extracted from the evaluation of the same type of evaluation target as the first evaluation target is below a predetermined threshold. It may be used as feature evaluation information.

For example, the provision device 100 determines that the frequency of the evaluation information "cool" extracted from the evaluation of the premium cotton T-shirt, which is the same type of product as the cotton T-shirt, among the evaluation information extracted from the reviews of the cotton T-shirt is specified. If the threshold of is exceeded, the evaluation information "cool" is not used as the feature evaluation information. On the other hand, the providing apparatus 100 may use the evaluation information "high sweat absorption" as the feature evaluation information when the frequency of the evaluation information "high sweat absorption" is below a predetermined threshold.

Note that the modification does not have to be limited to the above example, and the providing apparatus 100 generates evaluation information whose frequency is a predetermined threshold value extracted from the evaluation of the first evaluation target and the evaluation target of the same type as the first evaluation target. It may be used as feature evaluation information. Then, the providing apparatus 100 may preferentially provide the user with information related to the second evaluation target having feature evaluation information similar to the feature evaluation information.

For example, the providing apparatus 100 may obtain the evaluation "highly sweat-absorbent" extracted from the evaluation information of the premium cotton T-shirt, which is the same type of product as the cotton T-shirt, among the evaluation information extracted from the reviews of the cotton T-shirt. When the frequency of information is a predetermined threshold value, the evaluation information that "sweat absorption is high" may be used as the feature evaluation information. Then, the providing apparatus 100 may preferentially provide the user with information related to "premium cotton pants" having feature evaluation information similar to the feature evaluation information "highly sweat absorbent".

As described above, in the provision apparatus 100 according to the embodiment, among the evaluation information extracted from the evaluation of the first evaluation object, the frequency extracted from the evaluation of the same type of evaluation object as the first evaluation object falls below the predetermined threshold. Since the evaluation information is the feature evaluation information, it is possible to propose a transaction target desired by the user.

[5-4. Provide processing Prioritize reviews with many product features]
In the above-described embodiment, an example of the providing process of providing the information on the second evaluation target to the user by the providing apparatus 100 has been described, but the providing process is not limited to the above-described providing process. Specifically, the providing apparatus 100 may provide the user with an evaluation with a larger number of extracted evaluation information among the evaluations regarding the second evaluation target. Further, the providing apparatus 100 may further provide to the user, among the evaluations related to the first evaluation target, evaluations with a larger number of extracted evaluation information.

For example, the providing apparatus 100 may provide the user with a review that includes a predetermined threshold or more of extracted evaluation information among the evaluations relating to the second evaluation target of “cotton pants”. Further, the providing apparatus 100 may further provide the user with a review that includes a predetermined threshold or more of extracted evaluation information among the evaluations relating to the first evaluation target of "cotton T-shirt".

As described above, the providing apparatus 100 according to the embodiment provides the user with an evaluation with a larger number of extracted evaluation information among the evaluations related to the second evaluation target, and therefore proposes the transaction target desired by the user. can do. In addition, since the providing apparatus 100 according to the embodiment further provides the user with an evaluation with a larger number of extracted evaluation information among the evaluations related to the first evaluation target, the transaction target desired by the user is can be proposed.

[6. Hardware configuration]
Also, the user terminal 10, the evaluator terminal 20, and the provision device 100 according to the above-described embodiments are implemented by a computer 1000 configured as shown in FIG. 6, for example. The provision apparatus 100 will be described below as an example. FIG. 6 is a hardware configuration diagram showing an example of a computer 1000 that implements the functions of the providing apparatus 100. As shown in FIG. The computer 1000 includes a CPU 1100, a RAM 1200, a ROM (Read Only Memory) 1300, a HDD (Hard Disk Drive) 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 programs stored in the ROM 1300 or HDD 1400 and controls each section. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. Communication interface 1500 receives data from other devices via network N, sends the data to CPU 1100, and transmits data generated by CPU 1100 via network N to other devices.

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, through an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . Also, CPU 1100 outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200 . CPU 1100 loads such a program from recording medium 1800 onto RAM 1200 via 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 a PD (Phase change rewritable disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

For example, when the computer 1000 functions as the provision device 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the functions of the control unit 130 by executing programs loaded on the RAM 1200 . In addition, data in storage unit 120 is stored in HDD 1400 . The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them, but as another example, these programs may be acquired via the network N from another device.

[7. others〕
Further, among the processes described in the above embodiments and modifications, all or part of the processes described as being performed automatically can be performed manually, or described as being performed manually. All or part of the processing can also be performed automatically by known methods. 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 drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

Also, the above-described embodiments and modifications can be appropriately combined within a range that does not contradict the processing content.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the providing unit can be read as providing means or a providing circuit.

[8. effect〕
As described above, the provision device 100 according to the embodiment has the extraction unit 132 , the identification unit 134 and the provision unit 136 . The extraction unit 132 extracts evaluation information indicating evaluation content from a character string input by a user (for example, an evaluator) as an evaluation of an evaluation target. The specifying unit 134 specifies a second evaluation target whose evaluation information is similar to the first evaluation target browsed by the user. The providing unit 136 provides the user with information about the second evaluation target.

As a result, the providing apparatus 100 according to the embodiment extracts the evaluation information indicating the content of the evaluation from the character string input by the user as the evaluation of the evaluation target, and the first evaluation target viewed by the user and the evaluation information are extracted. In order to provide the user with information about the similar second evaluation object, the transaction object desired by the user can be suggested.

In addition, in the provision device 100 according to the embodiment, the extraction unit 132 extracts a character string indicating an evaluation of an evaluation target as evaluation information.

As a result, the providing apparatus 100 according to the embodiment extracts, as the evaluation information, a character string indicating the evaluation of the evaluation object, so that the transaction object desired by the user can be proposed.

In addition, in the providing apparatus 100 according to the embodiment, the extracting unit 132 extracts, as evaluation information, a character string indicating the evaluation of the characteristics of the evaluation target and a character string indicating the characteristics to be evaluated.

As a result, the providing apparatus 100 according to the embodiment extracts, as evaluation information, a character string indicating the evaluation of the characteristics of the evaluation target and a character string indicating the characteristics of the evaluation target. Can propose trading objects.

In addition, in the providing apparatus 100 according to the embodiment, the specifying unit 134 specifies a second evaluation target whose evaluation context is similar to that of the first evaluation target indicated by the evaluation information.

As a result, the providing apparatus 100 according to the embodiment identifies the second evaluation target whose evaluation context is similar to that indicated by the evaluation information, and therefore can propose the transaction target desired by the user. .

In addition, in the providing apparatus 100 according to the embodiment, the specifying unit 134 selects an evaluation target from which more evaluation information similar to the evaluation information extracted from the evaluation of the first evaluation target is extracted as the second evaluation target. Identify as a target.

As a result, the providing apparatus 100 according to the embodiment identifies, as the second evaluation target, an evaluation target from which more evaluation information similar to the evaluation information extracted from the evaluation of the first evaluation target is extracted from among the evaluation targets. Therefore, the transaction target desired by the user can be proposed.

Further, the providing apparatus 100 according to the embodiment has the presentation unit 135 that selectably presents the evaluation information extracted from the evaluation of the first evaluation object, and the specifying unit 134 presents the evaluation information extracted from the evaluation object. An evaluation target whose information is similar to the evaluation information selected by the user is specified as a second evaluation target.

As a result, the providing apparatus 100 according to the embodiment identifies, as a second evaluation target, an evaluation target whose evaluation information extracted from the evaluation targets is similar to the evaluation information selected by the user. A desired trading object can be proposed.

Further, in the provision device 100 according to the embodiment, the provision unit 136 further selects evaluation information similar to the evaluation information extracted from the evaluation of the first evaluation object, among the evaluation information extracted from the evaluation of the second evaluation object. provides similar information to the user.

As a result, the providing apparatus 100 according to the embodiment uses similar information, which is evaluation information similar to evaluation information extracted from the evaluation of the first evaluation target, among the evaluation information extracted from the evaluation of the second evaluation target. In order to provide it to the customer, it is possible to propose the trading object desired by the user.

In addition, in the provision device 100 according to the embodiment, the provision unit 136 provides similar information as a reason for providing information on the second evaluation target.

As a result, the providing apparatus 100 according to the embodiment provides similar information as a reason for providing information on the second evaluation target, and therefore can propose a transaction target desired by the user.

Further, in the providing apparatus 100 according to the embodiment, the identifying unit 134 identifies a plurality of second evaluation targets, and the providing unit 136 generates information about the second evaluation target and information on the second evaluation target for each second evaluation target. provides similar information extracted from evaluations of

As a result, the providing apparatus 100 according to the embodiment provides, for each second evaluation target, information related to the second evaluation target and similar information extracted from the evaluation of the second evaluation target. You can suggest a target.

In addition, in the providing device 100 according to the embodiment, the providing unit 136 provides the user with the evaluation of the second evaluation target in a manner in which similar information is emphasized.

As a result, the provision device 100 according to the embodiment provides the user with an evaluation of the second evaluation object in a manner in which similar information is emphasized, so that the transaction object desired by the user can be proposed.

In addition, in the provision device 100 according to the embodiment, the provision unit 136 provides the evaluation for the first evaluation object with priority over the information for the second evaluation object.

As a result, the providing apparatus 100 according to the embodiment provides the evaluation of the first evaluation object with priority over the information of the second evaluation object, so that the transaction object desired by the user can be proposed.

In addition, in the providing apparatus 100 according to the embodiment, the identifying unit 134 performs feature evaluation of evaluation information indicating a characteristic evaluation in the category to which the first evaluation target belongs, out of the evaluation information extracted from the evaluation of the first evaluation target. A second evaluation target from which evaluation information similar to the identified feature evaluation information is extracted is identified.

As a result, the providing apparatus 100 according to the embodiment identifies, as feature evaluation information, evaluation information indicating a characteristic evaluation in the category to which the first evaluation target belongs, among the evaluation information extracted from the evaluation of the first evaluation target. Since the second evaluation object from which the evaluation information similar to the identified feature evaluation information is extracted is specified, the transaction object desired by the user can be proposed.

In addition, in the providing apparatus 100 according to the embodiment, the specifying unit 134 extracts from the evaluation information extracted from the evaluation of the first evaluation object from the evaluation of other evaluation objects belonging to the same category as the first evaluation object. Evaluation information whose frequency is less than a predetermined threshold is defined as feature evaluation information.

As a result, the providing apparatus 100 according to the embodiment, among the evaluation information extracted from the evaluation of the first evaluation object, has a predetermined frequency extracted from the evaluation of other evaluation objects belonging to the same category as the first evaluation object. Since the evaluation information below the threshold value is used as the feature evaluation information, it is possible to propose a transaction target desired by the user.

In addition, in the providing apparatus 100 according to the embodiment, the identifying unit 134 determines that the frequency of the evaluation information extracted from the evaluation of the first evaluation object, which is extracted from the evaluation of the same type of evaluation object as the first evaluation object, is a predetermined frequency. The evaluation information below the threshold is taken as feature evaluation information.

As a result, the providing apparatus 100 according to the embodiment makes it possible to determine whether the frequency of the evaluation information extracted from the evaluation of the first evaluation object, which is extracted from the evaluation of the same type of evaluation object as the first evaluation object, is less than the predetermined threshold. Since the information is feature evaluation information, it is possible to propose a transaction target desired by the user.

In addition, in the providing device 100 according to the embodiment, the providing unit 136 provides the user with an evaluation with a larger number of extracted evaluation information among the evaluations regarding the second evaluation target.

As a result, the providing apparatus 100 according to the embodiment provides the user with an evaluation with a larger number of extracted evaluation information among the evaluations related to the second evaluation target, and thus proposes the transaction target desired by the user. be able to.

In addition, in the providing device 100 according to the embodiment, the providing unit 136 further provides the user with an evaluation with a larger number of extracted evaluation information among the evaluations regarding the first evaluation target.

As a result, the providing apparatus 100 according to the embodiment further provides the user with an evaluation with a larger number of extracted evaluation information among the evaluations related to the first evaluation target. can be proposed.

As described above, some of the embodiments of the present application have been described in detail based on the drawings. It is possible to carry out the invention in other forms with modifications.

N network 1 provision system 10 user terminal 20 evaluator terminal 100 provision device 110 communication unit 120 storage unit 121 transaction target database 122 evaluation database 130 control unit 131 evaluation reception unit 132 extraction unit 133 selection reception unit 134 identification unit 135 presentation unit 136 Provided department

Claims (18)

an extraction unit for extracting evaluation information indicating evaluation contents including materials or quality grades related to goods or services from a character string input by a user as an evaluation for an evaluation target;
a first evaluation object browsed by the user and a second evaluation object whose evaluation information is similar in materials or quality grades related to goods or services ;
and a providing unit that provides the user with information about the second evaluation object, and proposes a transaction object related to the second evaluation object . The providing device according to claim 1, wherein the extraction unit extracts a character string indicating an evaluation of the evaluation target as the evaluation information. 3. The method according to claim 2, wherein the extraction unit extracts, as the evaluation information, a character string indicating the evaluation of the characteristics of the evaluation object and a character string indicating the characteristics to be evaluated. delivery device. The provision according to any one of claims 1 to 3, wherein the specifying unit specifies a second evaluation target having a similar context of evaluation indicated by the evaluation information to the first evaluation target. Device. The identifying unit identifies, as the second evaluation target, an evaluation target from which more evaluation information similar to evaluation information extracted from the evaluation of the first evaluation target is extracted from among the evaluation targets. The providing device according to any one of claims 1 to 4. a presentation unit that selectably presents evaluation information extracted from the evaluation of the first evaluation target;
6. The identification unit identifies, from among the evaluation targets, an evaluation target whose extracted evaluation information is similar to evaluation information selected by a user as the second evaluation target. A provider according to any one of The provision unit further provides the user with similar information, which is evaluation information similar to evaluation information extracted from the evaluation of the first evaluation object, among the evaluation information extracted from the evaluation of the second evaluation object. The providing device according to any one of claims 1 to 6, characterized in that it provides: The providing device according to claim 7, wherein the providing unit provides the similar information as a reason for providing the information on the second evaluation object. The identifying unit identifies a plurality of second evaluation targets,
9. The providing unit according to claim 7 or 8, wherein, for each second evaluation object, the providing unit provides information about the second evaluation object and similar information extracted from the evaluation of the second evaluation object. providing equipment. The providing device according to any one of claims 7 to 9, wherein the providing unit provides the evaluation for the second evaluation object to the user in a manner in which the similar information is emphasized. The providing device according to any one of claims 1 to 10, wherein the providing unit provides the evaluation for the first evaluation object with priority over the information for the second evaluation object. The identifying unit identifies, as feature evaluation information, evaluation information indicating a characteristic evaluation in a category to which the first evaluation target belongs, among the evaluation information extracted from the evaluation of the first evaluation target, and identifies the specified feature 12. The provision device according to any one of claims 1 to 11, wherein a second evaluation target from which evaluation information similar to the evaluation information is extracted is specified. The identifying unit, among the evaluation information extracted from the evaluation of the first evaluation object, the evaluation information whose frequency extracted from the evaluation of other evaluation objects belonging to the same category as the first evaluation object falls below a predetermined threshold. as the feature evaluation information. The specifying unit performs the characteristic evaluation on the evaluation information extracted from the evaluation on the same type of evaluation object as the first evaluation object, among the evaluation information extracted from the evaluation on the first evaluation object, the frequency of which is less than a predetermined threshold. 14. The provision device according to claim 12 or 13, wherein the provision device is information. 15. The method according to any one of claims 1 to 14, wherein the providing unit provides, to the user, an evaluation with a larger number of extracted evaluation information among the evaluations regarding the second evaluation object. Provided apparatus as described. 16. The providing unit further provides, to the user, an evaluation with a larger number of extracted evaluation information among the evaluations relating to the first evaluation target. 1. A delivery device according to one. A provision method executed by a provision device,
an extracting step of extracting evaluation information indicating evaluation contents, including materials or quality grades related to goods or services, from character strings input by users as evaluations of evaluation targets;
an identifying step of identifying a second evaluation target whose evaluation information is similar to the first evaluation target viewed by the user in material or quality grade related to the product or service ;
a providing step of providing information about the second evaluation object to the user;
and proposing a transaction target related to the second evaluation target . an extraction procedure for extracting evaluation information indicating evaluation details including materials or quality grades related to goods or services from character strings input by users as evaluations for evaluation targets;
an identification procedure for identifying a first evaluation target viewed by a user and a second evaluation target whose evaluation information is similar in terms of materials or quality grades related to goods or services ;
a providing step of providing information about the second evaluation target to the user;
and causing the computer to propose a trading object related to the second evaluation object .

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