Information processing device, information processing method, and information processing program

Abstract

To encourage users to make purchases. [Solution] The information processing device according to the present invention comprises a receiving unit, a identifying unit, and a providing unit. The receiving unit receives information from the user regarding the characteristics of the first transaction target included in the review of the first transaction target. The identifying unit identifies a second transaction target corresponding to a review that satisfies predetermined conditions for the characteristics, from among at least one of the second transaction target candidates, which are candidates for the second transaction target similar to the first transaction target. The providing unit provides the user with information regarding the second transaction target identified by the identifying unit.

Description

Technical Field

[0001] The present invention relates to an information processing apparatus, an information processing method, and an information processing program.

Background Art

[0002] Conventionally, there has been known a technique of generating a summary review including at least one product review for each classification of product reviews and providing the generated summary review to a terminal device (see Patent Document 1 below).

Prior Art Documents

Patent Documents

[0003] [[ID=,23]]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the above conventional technology, a summary review is provided to the user. However, for example, when the evaluation of the review is poor, there is room for improvement in promoting the purchase behavior of users who abandon the purchase of a transaction target such as a product or service.

[0005] The present application has been made in view of the above, and an object thereof is to promote the purchase behavior of users.

Means for Solving the Problems

[0006] The information processing apparatus according to the present application includes a reception unit that receives information regarding the characteristics of a first transaction target included in a review of the first transaction target from a user, and at least one or more candidates for a second transaction target that is similar to the first transaction target, and a specifying unit that specifies a second transaction target corresponding to a review that satisfies a predetermined condition with respect to the characteristics, and a providing unit that provides information regarding the second transaction target specified by the specifying unit to the user.

Effects of the Invention

[0007] According to one embodiment, the effect is to encourage users to make purchases. [Brief explanation of the drawing]

[0008] [Figure 1] Figure 1 shows an example of a provisioning process performed by the information processing device according to this embodiment. [Figure 2] Figure 2 shows an example of content according to this embodiment. [Figure 3] Figure 3 shows an example of content according to this embodiment. [Figure 4] Figure 4 shows an example of content according to this embodiment. [Figure 5] Figure 5 shows an example of the configuration of an information processing system according to the embodiment. [Figure 6] Figure 6 shows an example of a user information storage unit according to the embodiment. [Figure 7] Figure 7 shows an example of a second transaction target information storage unit according to the embodiment. [Figure 8] Figure 8 is a flowchart showing an example of the flow of the provisioning process executed by the information processing device according to the embodiment. [Figure 9] Figure 9 is a hardware configuration diagram showing an example of a computer that implements the functions of an information processing device. [Modes for carrying out the invention]

[0009] The following describes in detail, with reference to the drawings, the embodiments for implementing the information processing apparatus, information processing method, and information processing program according to the present application (hereinafter referred to as "embodiments"). Note that these embodiments do not limit the information processing apparatus, information processing method, and information processing program according to the present application. Furthermore, each embodiment can be appropriately combined as long as the processing content is not inconsistent. Also, the same parts are denoted by the same reference numerals in each of the following embodiments, and redundant descriptions are omitted.

[0010] [1. An example of a processing operation performed by an information processing device] An example of the content provision process according to the embodiment will be explained using Figures 1 to 4. The content referred to here is, for example, content such as web pages displayed in a browser or content for applications.

[0011] First, an example of a provisioning process performed by the information processing device 100 according to the embodiment will be described using Figure 1. Figure 1 is a diagram showing an example of a provisioning process performed by the information processing device 100 according to the embodiment.

[0012] In the example shown in Figure 1, it is assumed that the information processing device 100 provides the internet shopping service SH1 (hereinafter sometimes simply referred to as service SH1). In this case, it is assumed that user U1 is operating their terminal device 10 to view the items for sale through service SH1. In the following explanation, products will be used as an example of items for sale.

[0013] As shown in Figure 1, the information processing device 100 receives a request for content provision (step S1). For example, suppose user U1 wants to view a first product sold in service SH1. In this case, terminal device 10 sends a request for content provision regarding this first product to the information processing device 100. The information processing device 100 then accepts the request for content provision.

[0014] Next, the information processing device 100 generates a summary review, positive features, and negative features of the first product (step S2). The summary review of the first product here refers to a review that summarizes multiple reviews of the first product.

[0015] For example, the information processing device 100 uses a predetermined generation AI (Artificial Intelligence) server to generate a summary review, positive features, and negative features of the first product.

[0016] Here, a predetermined generation AI server receives input information from the information processing apparatus 100, and using a generation AI that generates text, provides response information corresponding to the input information as output information. Note that the generation AI server will be described in detail in 2. Configuration of the information processing system.

[0017] For example, the information processing apparatus 100 generates a prompt for instructing generation of a summary review, positive features, and negative features of a first product. Subsequently, the information processing apparatus 100 provides the prompt to a predetermined generation AI server. Then, the predetermined generation AI server generates a summary review, positive features, and negative features of the first product, and provides information regarding the summary review, positive features, and negative features of the first product to the information processing apparatus 100. In this way, the information processing apparatus 100 generates a summary review, positive features, and negative features of the first product.

[0018] Subsequently, the information processing apparatus 100 provides content including the first product (step S3). For example, the information processing apparatus 100 provides the terminal apparatus 10 with content including the first product, a review of the first product, a summary review of the first product, positive features, and negative features.

[0019] Here, with reference to FIG. 2, content C10 including the first product will be described. FIG. 2 is a diagram showing an example of content according to an embodiment. The content C10 shown in FIG. 2 is an example of a web page displayed on a browser.

[0020] The content C10 includes "Product A" which is the first product and an evaluation value of "Product A". For example, the content C10 includes detailed information showing a detailed description of "Product A" and an image of "Product A". For example, Product A is shoes.

[0021] Also, in the evaluation value of "Product A" included in the content C10, the overall evaluation is "4.76". Also, in the item-by-item evaluation included in the content C10, the size is "just right", the thickness of the sole is "ordinary", and the ease of wearing is "ordinary".

[0022] Furthermore, content C10 includes an "AI summary," which is a summary review of the first product, and area RC101, which contains recommended points and points of concern. Here, recommended points correspond to positive features, and points of concern correspond to negative features.

[0023] Area RC101 contains buttons such as B101, which is labeled "See More" for recommended features, and B103, which is labeled "See More" for features of interest. For example, buttons B101 or B103 are buttons that transition to content displaying all the information about the recommended or interesting features.

[0024] Additionally, area RC101 contains a button B102, which is labeled "See similar products with positive reviews." For example, button B102 is a button that transitions to content displaying a second product corresponding to a review that includes improvements to negative features.

[0025] Additionally, Content C10 includes reviews of "Product A." For example, Content C10 includes "Featured Reviews," which are selected reviews of "Product A."

[0026] Here, using Figure 3, we will explain the content C20 that the terminal device 10 displays when the user presses button B101 or B103. Figure 3 is a diagram showing an example of content according to the embodiment.

[0027] Content C20 displays only the area RC101, which contains the "AI summary," recommended points, and points of concern. In the example in Figure 3, Content C20 includes information on "comfort," "fabric thickness," and "sole thickness" as recommended points. Content C20 also includes information on "sizing," "fading susceptibility," and "quality control" as points of concern.

[0028] Furthermore, content C20 includes buttons B201, which corresponds to "size" and "see similar products with positive reviews," button B202, which corresponds to "fading," and button B203, which corresponds to "quality control." When the user presses any one of buttons B201 to B203, the terminal device 10 displays content including a second product corresponding to a review that includes improvements to the negative characteristics.

[0029] Let's return to the explanation of Figure 1. In the example in Figure 1, the information processing device 100 receives information about the negative features selected by user U1 (step S4). For example, terminal device 10 displays content including the first product, a review of the first product, a summary review of the first product, positive features, and negative features. Here, let's assume user U1 has selected negative features. In this case, terminal device 10 transmits information about the negative features to the information processing device 100. Subsequently, the information processing device 100 receives this information about the negative features.

[0030] In the example shown in Figure 1, the information processing device 100 identifies a second product from among at least one candidate for a second product that is similar to the first product, and which corresponds to the review that includes improvements to the negative characteristics (step S5).

[0031] For example, the information processing device 100 generates a prompt to instruct the identification of a second product. Subsequently, the information processing device 100 provides the prompt to a predetermined generating AI server. The predetermined generating AI server then retrieves at least one of the second product candidates and identifies a second product from among the at least one of the second product candidates that corresponds to a review that includes improvements to the negative characteristics.

[0032] For example, a predetermined generation AI server calculates a similarity score indicating the similarity between the first product and the second product. For example, the predetermined generation AI server may vectorize the first and second products using image recognition and natural language processing, and calculate the cosine similarity of each vector as the similarity score between the first and second products. Note that the calculation of the similarity score can be achieved using various conventional technologies for calculating the similarity between products.

[0033] Next, the designated generating AI server retrieves at least one second product that has a similarity score above a predetermined threshold. Then, the designated generating AI server identifies a second product from among the at least one candidate second product that corresponds to the review containing improvements to the negative features.

[0034] Next, the designated generating AI server provides the information processing device 100 with information about a second product corresponding to the review, including improvements to address negative characteristics. In this way, the information processing device 100 identifies the second product. Here, the information processing device 100 identifies at least one or more second products.

[0035] Then, the information processing device 100 provides content that includes at least one second product (step S6). For example, the information processing device 100 provides the terminal device 10 with content that includes at least one second product, at least one review of the second product, and at least one summary review of the second product. For example, the review of the second product includes improvements to the negative characteristics of the first product. In addition, in the review of the second product, reviews that highlight improvements to the negative characteristics are placed in the content.

[0036] Here, using Figure 4, we will describe content C30 as an example of content that includes at least one second product. Figure 4 is a diagram showing an example of content according to the embodiment. Content C30 is the content that the terminal device 10 displays when the user presses button B201 shown in Figure 2. Content C30 includes a second product that corresponds to a review that includes improvements to the negative characteristic of the first product, "size."

[0037] Content C30 includes a second product, "Product B," reviews for "Product B," and a rating for "Product B." Content C30 also includes a second product, "Product C." For example, both Products B and C are shoes. For instance, Content C30 includes a button B301 that says "View details of this product," an image of "Product B," and an image of "Product C." Button B301 is a button that transitions to content displaying detailed information about "Product B."

[0038] Furthermore, the evaluation value for "Product B" included in Content C30 is an overall rating of "3.50". Content C30 also includes an "AI Summary," which is a summary review of the second product, and "Featured Reviews," which are reviews of selected second products. For example, the reviews of the second product include improvements made to the negative characteristics of the first product. In addition, in the reviews of the second product, reviews that highlight improvements made to the negative characteristics are placed within the content.

[0039] In the example in Figure 4, content C30 highlights negative features by shading the phrases describing improvements such as "feet don't move around," "no feeling of bottoming out," and "not too tight."

[0040] While it was previously possible to provide users with aggregated reviews, there was room for improvement in encouraging purchasing behavior from users who might abandon a purchase due to poor review ratings. For example, even if a product has a high overall rating, it is conceivable that a user's desire to purchase may decrease if they view negative reviews that include some low ratings.

[0041] Therefore, the information processing device 100 identifies a second product from among at least one of the second product candidates that corresponds to a review that meets predetermined conditions for its characteristics. The information processing device 100 then provides the user with information about the identified second product. In this way, the information processing device 100 can encourage users who have given up on purchasing a product to make a purchase. Furthermore, the information processing device 100 can provide information that allows users to make purchasing decisions with greater confidence.

[0042] Furthermore, the information processing device 100 provides content including the second product, a review of the second product that includes improvements to the negative characteristics of the first product, and a summary review of the second product. This allows the information processing device 100 to make the user aware of how the negative characteristics have been improved. In addition, the information processing device 100 allows the user to be aware of how the second product is better than the first product.

[0043] [2. Configuration of the Information Processing System] Next, the configuration of the information processing system 1 according to the embodiment will be described using Figure 5. Figure 5 is a diagram showing an example of the configuration of the information processing system 1 according to the embodiment. As shown in Figure 5, the information processing system 1 includes a terminal device 10, a generation AI server 20, an external server 30, and an information processing device 100. The terminal device 10, the generation AI server 20, the external server 30, and the information processing device 100 are connected via a network N so as to be able to communicate by wired or wireless means.

[0044] The information processing system 1 shown in Figure 5 may include multiple terminal devices 10, multiple generation AI servers 20, multiple external servers 30, and multiple information processing devices 100.

[0045] Terminal device 10 is an information processing device used by users accessing content. For example, terminal device 10 may be a desktop PC (Personal Computer), a notebook PC, a tablet device, a mobile phone, or a PDA (Personal Digital Assistant).

[0046] The generation AI server 20 is an information processing device that receives input information and uses its own generation AI to provide response information corresponding to the input information as output information. This device can be implemented, for example, by a server device or a cloud system.

[0047] For example, a generative AI is a text generation AI that generates text. A text generation AI is, for example, a large-scale language model that has been trained to estimate and output the next token from an input sequence of tokens. For example, large-scale language models include transformer-based models and RNN (Recurrent Neural Network)-based models.

[0048] Transformer-based models include, but are not limited to, GPT (Generative Pre-trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers). RNN-based models include, but are not limited to, RWKV (Receptance Weighted Key Value).

[0049] Furthermore, it is desirable that the entered information be kept confidential by learning not to use it as a new answer. In addition, the generating AI may be a language model that has been specifically trained (e.g., fine-tuned) to generate answer information.

[0050] For example, the generation AI server 20 inputs the input information received from the information processing device 100 into the generation AI, and provides the output information output from the generation AI to the information processing device 100. The generation AI server 20 may also be implemented using an API (Application Programming Interface).

[0051] The external server 30 is an information processing device that provides information about the transaction object, and can be implemented, for example, by a server device or a cloud system. For example, the external server 30 receives a request from the information processing device 100 to provide information about the transaction object and provides such information about the transaction object. For example, the external server 30 can be implemented by an API.

[0052] The information processing device 100 is an information processing device that can communicate with various devices via a network N, and is implemented, for example, by a server device or a cloud system. For example, the information processing device 100 is connected to other various devices via the network N in a way that allows communication.

[0053] [3. Configuration of the Information Processing Device] Next, an example of the functional configuration of the information processing device 100 will be described using Figure 5. As shown in Figure 5, the information processing device 100 has a communication unit 110, a storage unit 120, and a control unit 130.

[0054] (Regarding Communications Unit 110) The communication unit 110 is implemented, for example, by a NIC (Network Interface Card). The communication unit 110 is connected to the network N by wire or wireless connection and transmits and receives information with various other devices.

[0055] (Regarding memory unit 120) The storage unit 120 is implemented by, for example, semiconductor memory elements such as RAM (Random Access Memory) and flash memory, or by storage devices such as hard disks and optical discs. The storage unit 120 also includes a user information storage unit 121 and a second transaction target information storage unit 122.

[0056] (Regarding the user information storage unit 121) The user information storage unit 121 stores various information about the user. For example, the user information storage unit 121 stores user information that has been registered in advance. Here, Figure 6 shows an example of the user information storage unit 121 according to the embodiment. Figure 6 is a diagram showing an example of the user information storage unit 121 according to the embodiment.

[0057] In the example shown in Figure 6, the user information storage unit 121 has items such as "User ID" and "User Information". For example, "User Information" has items such as "Attribute Information", "Purchase History", and "Browsing History".

[0058] A "User ID" is an identifier that identifies a user. "Attribute Information" is information about the user's attributes associated with the "User ID". For example, attribute information includes demographic attributes and psychographic attributes. For example, demographic attributes are demographic attributes. To give a more specific example, demographic attributes include age, gender, occupation, place of residence, annual income, family structure, etc. For example, psychographic attributes are psychological attributes. To give a more specific example, psychographic attributes include lifestyle, values, interests, etc.

[0059] "Purchase history" refers to information about the history of goods or services purchased by a user associated with a "User ID." "Browsing history" refers to information about the history of content of goods or services viewed by a user associated with a "User ID." The content of goods or services referred to here includes detailed information about goods or services, information about reviews of goods or services, etc.

[0060] For example, in Figure 6, "U1," identified by the user ID, has attribute information as "UA1," purchase history as "UPH1," and browsing history as "UBH1." In the example shown in Figure 6, attribute information is represented by abstract codes such as "UA1," but attribute information may also be numerical values, strings, or file formats containing various information indicating attribute information.

[0061] (Regarding the second transaction target information storage unit 122) The second transaction target information storage unit 122 stores various information relating to the second transaction target. For example, the second transaction target information storage unit 122 stores various information relating to the second product as an example of the second transaction target. Here, Figure 7 shows an example of the second transaction target information storage unit 122 according to the embodiment. Figure 7 is a diagram showing an example of the second transaction target information storage unit 122 according to the embodiment.

[0062] In the example shown in Figure 7, the second transaction target information storage unit 122 has items such as "second transaction target ID," "second transaction target," "review," and "summary review."

[0063] The "Second Transaction Item ID" is an identifier that identifies the second transaction item. The "Second Transaction Item" is information about the second transaction item associated with the "Second Transaction Item ID". For example, the second item might be a fashion product.

[0064] "Review" refers to information about the review of the second transaction target associated with the "Second Transaction Target ID". "Summary Review" refers to information about the summary review, which is a summary of the review of the second transaction target associated with the "Second Transaction Target ID".

[0065] For example, in Figure 7, "T1," identified by the second transaction ID, represents the second transaction "TT1," the review "TR1," and the summary review "TS1."

[0066] In the example shown in Figure 7, the second transaction target is represented by an abstract code such as "TT1," but the second transaction target may also be a numerical value, a string of characters, or a file format containing various information indicating the second transaction target.

[0067] (Regarding the control unit 130) The control unit 130 is a controller, and is implemented, for example, by a CPU (Central Processing Unit) or MPU (Micro Processing Unit) executing various programs (an example of an information processing program) stored in the memory device inside the information processing device 100 using RAM as the working area. Alternatively, the control unit 130 is a controller and can be implemented, for example, by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array).

[0068] As shown in Figure 5, the control unit 130 includes a receiving unit 131, a generation unit 132, a providing unit 133, and a specification unit 134, and realizes or executes the information processing functions and operations described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in Figure 5, and other configurations are also possible as long as they perform the information processing described later. Also, the connection relationships of the various processing units in the control unit 130 are not limited to the connection relationships shown in Figure 5, and other connection relationships are also possible.

[0069] (Regarding reception desk 131) The reception unit 131 receives various types of information. For example, the reception unit 131 receives requests for content provision. For example, suppose user U1 wants to view product 1, which is sold on service SH1. In this case, the information processing device 100 receives the content provision request from the terminal device 10.

[0070] Furthermore, the reception unit 131 receives information from the user regarding the characteristics of the first transaction subject included in the review of the first transaction subject. For example, the reception unit 131 receives information from the user regarding negative characteristics selected by the user. To give a more specific example, suppose the user views content that includes the first product (an example of the first transaction subject), a review of the first product, a summary review of the first product, positive characteristics, and negative characteristics, and selects negative characteristics. In this case, the reception unit 131 receives information regarding the negative characteristics from the terminal device 10.

[0071] (Regarding the generation unit 132) The generation unit 132 generates a summary review, positive features, and negative features of the first product. For example, the generation unit 132 uses the generation AI server 20 to generate a summary review, positive features, and negative features of the first product. For example, the generation unit 132 generates a prompt to instruct the generation of a summary review, positive features, and negative features of the first product. Subsequently, the generation unit 132 generates a summary review, positive features, and negative features of the first product by providing the prompt to the generation AI server 20.

[0072] (Regarding Section 133) The provision unit 133 provides various types of information. Specifically, the provision unit 133 provides the user with information about the second transaction target stored in the second transaction target information storage unit 122. For example, the provision unit 133 provides the terminal device 10 with content including at least one second product as information about the second transaction target.

[0073] To give a more specific example, the provisioning unit 133 provides the terminal device 10 with content that includes at least one second product, at least one review of the second product, and at least one summary review of the second product. For example, the review of the second product includes improvements made to the negative characteristics of the first product. In addition, the review of the second product highlights the improvements made to the negative characteristics.

[0074] Furthermore, the provisioning unit 133 provides the user with content including the first product. For example, the provisioning unit 133 provides the terminal device 10 with content including the first product, a review of the first product, a summary review of the first product, positive features, and negative features.

[0075] (Regarding Section 134) The identification unit 134 identifies a second transaction target from among at least one of the second product candidates that corresponds to a review that satisfies predetermined conditions for a particular characteristic. For example, the identification unit 134 identifies a second product from among at least one of the second product candidates that corresponds to a review that includes improvements to a negative characteristic.

[0076] For example, the identification unit 134 generates a prompt to instruct the identification of a second product. Subsequently, the identification unit 134 provides the prompt to the generation AI server 20 to identify a second product that corresponds to a review including improvements for negative characteristics. The identification unit 134 then stores the second product in the second transaction target information storage unit 122.

[0077] [4. Processing Procedure] Next, the procedure for the provisioning process executed by the information processing device 100 according to the embodiment will be explained using Figure 8. Figure 8 is a flowchart showing an example of the flow of the provisioning process executed by the information processing device 100 according to the embodiment.

[0078] As shown in Figure 8, the reception unit 131 receives information about the negative characteristics selected by the user (step S101). Specifically, if the reception unit 131 has not received any information about negative characteristics (step S101; No), it waits until it receives such information.

[0079] On the other hand, if the receiving unit 131 receives information regarding negative characteristics (step S101; Yes), the identification unit 134 identifies a second target from among at least one of the second target candidate products that corresponds to the review including improvements to the negative characteristics (step S102). Subsequently, the providing unit 133 provides information regarding the second target product identified by the identification unit 134 (step S103).

[0080] [5. Variations] The information processing device 100 described above may be implemented in various other forms besides those described above. Therefore, other embodiments of the information processing device 100 will be described below.

[0081] [5-1. Items to be traded] In the above embodiment, goods were used as an example of the object of the transaction, but the invention is not limited to this. For example, the object of the transaction may be a service. For example, the service may be a subscription service for fashion products or a service that rents out fashion products. Furthermore, the object of the transaction is not limited to goods or services, but may be any object of the transaction.

[0082] [5-2. Specific Processing] Furthermore, in the above embodiment, an example was described in which the identification unit 134 identifies a second product from among at least one of the second product candidates that corresponds to a review that includes improvements to negative characteristics, but the invention is not limited to this. For example, the identification unit 134 may identify a number of second products equal to or greater than the number of negative characteristics, and the second products that correspond to a review that includes improvements to negative characteristics.

[0083] To give a more specific example, suppose there are three negative characteristics. In this case, the identification unit 134 may identify three second products that correspond to reviews that include improvements for the negative characteristics.

[0084] In this way, the identification unit 134 identifies a number of second products in which the negative characteristics have been improved, equal to the number of negative characteristics identified. This allows the identification unit 134 to offer the user a number of second product options that are more suitable for the user, equal to the number of negative characteristics identified. Therefore, the identification unit 134 can encourage the user to make a purchase.

[0085] Furthermore, the identification unit 134 may identify a second product as the second product to be identified, which corresponds to a review that includes improvements to negative characteristics and for which the user's evaluation is above a predetermined threshold. This allows the identification unit 134 to identify a second product that is suitable for the user.

[0086] Furthermore, the identification unit 134 may identify a second product that corresponds to a review containing multiple improvements for negative characteristics as the second product to be identified. This allows the identification unit 134 to identify a second product that is suitable for the user.

[0087] [5-3. Acquisition of the first target and candidate second target] Furthermore, the information processing device 100 may have previously obtained information regarding the first transaction target and the second transaction target candidate from the external server 30. For example, the information processing device 100 may obtain information such as the first product (an example of the first transaction target) and the second product candidate (an example of the second transaction target candidate), detailed information of the first product and the second product candidate, and reviews of the first product and the second product candidate by performing batch processing. In this case, the information processing device 100 stores the obtained information in the storage unit 120.

[0088] [5-4. Program] Furthermore, the information processing device 100 according to the above-described embodiment is realized by a computer 1000 having the configuration shown in Figure 9. Figure 9 is a diagram showing an example of the hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and has a configuration in which an arithmetic unit 1030, a cache 1040, a memory 1050, an output interface 1060, an input interface 1070, and a network interface 1080 are connected by a bus 1090.

[0089] The arithmetic unit 1030 operates based on programs stored in the cache 1040 and memory 1050, as well as programs read from the input device 1020, and executes various processes. The cache 1040 is a memory device, such as RAM, that temporarily stores data used by the arithmetic unit 1030 for various calculations. The memory 1050 is a storage device where data used by the arithmetic unit 1030 for various calculations and various databases are registered, and is implemented using ROM (Read Only Memory), HDD (Hard Disk Drive), flash memory, etc.

[0090] Output IF1060 is an interface for transmitting information to be output to output devices 1010, such as monitors and printers, and is implemented using connectors of standards such as USB (Universal Serial Bus), DVI (Digital Visual Interface), and HDMI (High Definition Multimedia Interface). Input IF1070 is an interface for receiving information from input devices 1020, such as mice, keyboards, and scanners, and is implemented using, for example, USB.

[0091] The input device 1020 may also be a device that reads information from, for example, an optical recording medium such as a CD (Compact Disc), DVD (Digital Versatile Disc), or PD (Phase Change Rewritable Disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), tape media, magnetic recording media, or semiconductor memory. Furthermore, the input device 1020 may be an external storage medium such as a USB memory stick.

[0092] Network IF1080 receives data from other devices via network N and sends it to the arithmetic unit 1030, and also transmits data generated by the arithmetic unit 1030 to other devices via network N.

[0093] The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or memory 1050 onto the cache 1040 and executes the loaded program.

[0094] For example, when computer 1000 functions as an information processing device 100, the arithmetic unit 1030 of computer 1000 realizes the functions of the control unit 130 by executing a program loaded on the cache 1040.

[0095] [5-5. Others] Furthermore, 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 all or part of the processes described as being performed manually can be performed automatically by known methods. In addition, the processing procedures, specific names, and information including various data and parameters shown in the above document and drawings can be changed at will unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown.

[0096] Furthermore, the components of each illustrated device are functionally conceptual and do not necessarily need to be physically configured as shown. In other words, the specific forms of distribution and integration of each device are not limited to those shown, and all or part of them can be functionally or physically distributed and integrated in any unit according to various loads and usage conditions.

[0097] Furthermore, the embodiments and modifications described above can be combined as appropriate, provided that the processing content is not inconsistent.

[0098] Furthermore, the terms "section, module, unit" mentioned above can be replaced with "means" or "circuits." For example, the "providing section" can be replaced with "providing means" or "providing circuit."

[0099] [6. Effects] As described above, the information processing device 100 according to the embodiment includes a receiving unit 131, a identifying unit 134, and a providing unit 133. The receiving unit 131 receives information from the user regarding the characteristics of the first transaction subject included in the review of the first transaction subject. The identifying unit 134 identifies a second transaction subject that corresponds to a review that satisfies predetermined conditions for its characteristics, from among at least one of the second transaction subject candidates, which are candidates for the second transaction subject that are similar to the first transaction subject. The providing unit 133 provides the user with information regarding the second transaction subject identified by the identifying unit 134.

[0100] The information processing device 100 according to this embodiment can encourage users to make purchases.

[0101] Furthermore, in the information processing device 100 according to this embodiment, the providing unit 133 provides information regarding the review of the second transaction subject, along with information regarding the second transaction subject identified by the identifying unit 134.

[0102] As a result, the information processing device 100 according to the embodiment can encourage users to make purchases.

[0103] Furthermore, in the information processing device 100 according to this embodiment, the providing unit 133 provides information regarding a summary review, which is a summary of the review of the second transaction target, as a review of the second transaction target.

[0104] As a result, the information processing device 100 according to the embodiment can encourage users to make purchases.

[0105] Furthermore, in the information processing device 100 according to this embodiment, the reception unit 131 is characterized by receiving information from the user regarding the negative characteristics of the first transaction target, and the identification unit 134 identifies a second transaction target from among at least one of the second transaction targets that corresponds to a review that includes improvement content to improve the negative characteristics.

[0106] As a result, the information processing device 100 according to this embodiment can identify a suitable transaction target for the user.

[0107] Furthermore, in the information processing device 100 according to the embodiment, the identification unit 134 identifies at least one second transaction target corresponding to a review that includes improvements to negative characteristics, and the provision unit 133 provides the user with information on at least one second transaction target.

[0108] As a result, the information processing device 100 according to the embodiment can encourage users to make purchases.

[0109] Furthermore, in the information processing device 100 according to the embodiment, the identification unit 134 identifies a number of second transaction targets equal to or greater than the number of negative features, and which correspond to a review that includes improvements to the negative features.

[0110] As a result, the information processing device 100 according to this embodiment can identify a suitable transaction target for the user.

[0111] Furthermore, in the information processing device 100 according to the embodiment, the providing unit 133 provides information on at least one second transaction target, along with information on a review of the second transaction target in which improvements to negative characteristics are highlighted.

[0112] As a result, the information processing device 100 according to the embodiment can encourage users to make purchases.

[0113] Furthermore, in the information processing device 100 according to this embodiment, the provision unit 133 further provides the user with a review of the first transaction target, and the reception unit 131 receives information from the user regarding the characteristics of the first transaction target.

[0114] As a result, the information processing device 100 according to this embodiment can receive features that the user is interested in during the review of the first transaction target.

[0115] Furthermore, in the information processing device 100 according to this embodiment, the providing unit 133 provides the user with information regarding a summary review of the first transaction target, which is a summary review of the first transaction target, along with information regarding positive and negative characteristics as features, and the receiving unit 131 receives information regarding negative characteristics selected by the user from the user.

[0116] As a result, the information processing device 100 according to this embodiment can receive features that the user is interested in during the review of the first transaction target.

[0117] Although some embodiments of the present invention have been described in detail above with reference to the drawings, these are illustrative examples, and the present invention can be implemented in various other forms with modifications and improvements based on the knowledge of those skilled in the art, starting with the embodiments described in the disclosure section of the invention. [Explanation of symbols]

[0118] N Network 1. Information Processing System 10 Terminal devices 20 AI Generator Server 30 External Servers 100 Information Processing Devices 110 Communications Department 120 Storage section 121 User information storage unit 122 Second Transaction Target Information Storage Unit 130 Control Unit 131 Reception Department 132 Generation part 133 Provision Department 134 Specific part

Claims

1. A reception desk that receives information from users regarding the characteristics of the first transaction subject included in the review of the first transaction subject, A selection unit identifies a second transaction target corresponding to a review that satisfies predetermined conditions for the characteristics, from among at least one of the candidates for the second transaction target which is similar to the first transaction target, A providing unit that provides the user with information regarding the second transaction target identified by the aforementioned identifying unit. An information processing device characterized by comprising:

2. The aforementioned supply unit is, The information provided includes information regarding the second transaction subject identified by the specified unit, as well as information regarding the review of the second transaction subject. The information processing apparatus according to feature 1.

3. The aforementioned supply unit is, As the review of the second transaction subject, information is provided that summarizes the review of the second transaction subject. The information processing apparatus according to feature 2.

4. The aforementioned reception unit is As a feature of the above, information regarding the negative characteristics of the first transaction target is received from the user, The specified part is, From at least one of the second candidate trading targets, identify the second trading target corresponding to the review that includes improvements to address the negative characteristics. The information processing apparatus according to feature 1.

5. The specified part is, Identify at least one of the second trading targets corresponding to the review which includes improvements to the aforementioned negative characteristics, The aforementioned supply unit is, Provide the user with information relating to at least one or more of the second transaction targets. The information processing apparatus according to feature 4.

6. The specified part is, A number of second trading targets equal to or greater than the number of the aforementioned negative characteristics, which identify the second trading targets corresponding to a review that includes improvements to the aforementioned negative characteristics. The information processing apparatus according to feature 5.

7. The aforementioned supply unit is, Along with information on at least one of the second trading subjects, the report provides information on a review of the second trading subject, highlighting improvements made to the negative characteristics. The information processing apparatus according to feature 5.

8. The aforementioned supply unit is, Further provide the user with the review of the first transaction subject, The aforementioned reception unit is Information regarding the characteristics of the first transaction target is received from the user. The information processing apparatus according to feature 1.

9. The aforementioned supply unit is, As the review of the first transaction subject, the user is further provided with information regarding a summary review that summarizes the review of the first transaction subject, and as the features, information regarding positive and negative features. The aforementioned reception unit is Information regarding the negative characteristics selected by the user is received from the user. The information processing apparatus according to feature 8.

10. A method of information processing performed by a computer, A receiving process for receiving information from users regarding the characteristics of the first transaction subject to be included in the review of the first transaction subject, A selection step of identifying a second transaction target that corresponds to a review that satisfies predetermined conditions for the characteristics, from among at least one candidate for a second transaction target which is similar to the first transaction target, A provision step which provides to the user information relating to the second transaction target identified by the aforementioned specific step. An information processing method characterized by including

11. A procedure for receiving information from users regarding the characteristics of the first transaction subject, which is included in the review of the first transaction subject, A procedure for identifying a second transaction target that corresponds to a review that satisfies predetermined conditions for the characteristics, from among at least one candidate for a second transaction target that is similar to the first transaction target described above, A provision procedure for providing the user with information regarding the second transaction target identified by the aforementioned identification procedure. An information processing program characterized by causing a computer to execute it.

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