Generation device, generation method, and program

The generating device and method support shops in creating promotional information for online markets by automatically generating and customizing descriptive content using common expressions from similar items, reducing the burden and ensuring effective advertising.

JP2026043570AActive Publication Date: 2026-03-12RAKUTEN GROUP INC
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-08-28
Publication Date
2026-03-12

AI Technical Summary

Technical Problem

Creating appropriate descriptive information for items on online markets is burdensome for shops, and there is a need to reduce this burden while supporting the creation of explanatory information that serves as an advertisement.

Method used

A generating device and method that includes a receiving unit for specification information, a selection unit for similar items, an identification unit for common expressions, a creation unit for generating explanatory information using a large-scale language model, and an editing unit for editing and storing difference information to support the creation of promotional content.

Benefits of technology

Automatically generates promotional information for items on online markets, reducing the burden on shops by leveraging common expressions from similar items and allowing for customization based on past edits, ensuring effective and unique promotional content.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 2026043570000001_ABST
    Figure 2026043570000001_ABST
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Abstract

A generating device and the like are provided that can support the creation of explanatory information that plays an advertising role for shops in an electronic market. [Solution] A receiving unit 101 of a generation device 100 receives input of specification information to be attached to a target item to be put up for sale on an online marketplace where shops sell items by disclosing specification information for identifying the item and description information for promoting the purchase of the item from the shop. A selecting unit 102 selects multiple similar items being sold on the online marketplace by disclosing specification information similar to the specification information related to the received input. An identifying unit 103 identifies common expressions that appear in multiple description information for multiple similar items. A creating unit 104 creates a prompt for generating description information based on the specification information and the common expressions. A generating unit 105 generates description information to be attached to the target item by providing the prompt to a large-scale language model.
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Description

[Technical Field]

[0001] The present invention relates to a generating device, a generating method, and a program. [Background technology]

[0002] Conventionally, there is known a technology that supports shops that sell items on an online market in creating information to be registered for selling the items on the online market. For example, Patent Document 1 discloses an information processing device that analyzes an image of an item uploaded by a shop and presents information on the attributes of the item that should be registered on the online market. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2018-106284 Summary of the Invention [Problem to be solved by the invention]

[0004] Meanwhile, the information that shops register to sell items on online markets includes descriptive information, which serves as advertising to promote the sale of the items. Descriptive information appeals to viewers about the appeal of the item, including usage scenarios and advantages of the item, and is important information for promoting sales. However, creating appropriate descriptive information is not easy for shops, and there is a desire to reduce the burden of creating descriptive information.

[0005] The present invention is intended to solve the above-mentioned problems, and has as its object to provide a generating device, a generating method, and a program that can support the creation of explanatory information that serves as an advertisement for shops in online markets. [Means for solving the problem]

[0006] A generating device according to a first aspect of the present invention comprises: a receiving unit that receives input of specification information to be attached to a target item to be put up for sale on an electronic marketplace that allows a shop to sell the item by disclosing specification information for identifying the item and explanatory information for promoting the purchase of the item from the shop; a selection unit that selects a plurality of similar items being sold in the online market by disclosing specification information similar to the specification information related to the received input; an identifying unit that identifies a common expression that appears in common among a plurality of pieces of explanatory information attached to the plurality of selected similar items; a creation unit that creates a prompt for generating explanatory information based on the specification information related to the received input and the identified common expression; a generating unit that generates explanatory information to be attached to the target item by providing the generated prompt to a large-scale language model; The present invention is characterized by comprising:

[0007] In addition, in the generation device according to the above aspect, an editing unit that allows a shop that intends to list the target item to edit the description information generated for the target item; a storage unit that stores difference information representing a difference between description information generated for the target item and description information published for the target item, in association with a shop that is trying to put up the target item; Furthermore, The creation unit creates a prompt for generating explanatory information based on difference information accumulated in the past in association with the shop where the target item is to be put up for sale. It is characterized by:

[0008] In addition, in the generation device according to the above aspect, The selection unit selects the plurality of similar items based on the number of views, the number of sales, or the sales amount in the online marketplace. It is characterized by:

[0009] In addition, in the generation device according to the above aspect, The selection unit selects the plurality of similar items so that the plurality of similar items are sold at different shops. It is characterized by:

[0010] In addition, in the generation device according to the above aspect, The selection unit selects the plurality of similar items from the shops selling the plurality of similar items, excluding the shop that is going to put up the target item. It is characterized by:

[0011] In addition, in the generation device according to the above aspect, The identification unit further identifies a unique expression appearing in any one of a plurality of pieces of explanatory information attached to the plurality of selected similar items, The creation unit creates a prompt for generating the explanatory information that does not include the identified specific expression. It is characterized by:

[0012] In addition, in the generation device according to the above aspect, The selection unit selects the plurality of similar items as items that are already being sold on the online market by the shop that is going to list the target item and that have the highest number of views, sales volume, or sales amount on the online market. It is characterized by:

[0013] In addition, in the generation device according to the above aspect, the selection unit selects the plurality of similar items to include top items that are items already being sold on the online market by the shop that is listing the target item, and that are top items in terms of number of views, number of sales, or sales amount on the online market, and bottom items that are bottom items; the identification unit identifies a superordinate expression that appears in explanatory information attached to a superordinate item included in the selected plurality of similar items but does not appear in explanatory information attached to a subordinate item included in the selected plurality of similar items, and a subordinate expression that appears in explanatory information attached to a subordinate item included in the selected plurality of similar items but does not appear in explanatory information attached to a superordinate item included in the selected plurality of similar items, The creating unit creates a prompt for generating the explanatory information that includes the identified higher-level expression and does not include the identified lower-level expression. It is characterized by:

[0014] A generating device according to a second aspect of the present invention comprises: a receiving unit that receives input of specification information to be attached to a target item to be put up for sale on an electronic marketplace that allows a shop to sell the item by disclosing specification information for identifying the item and explanatory information for promoting the purchase of the item from the shop; a creation unit that creates a prompt for generating explanatory information based on the specification information related to the received input; a generating unit that generates explanatory information to be attached to the target item by providing the generated prompt to a large-scale language model; an editing unit that allows a shop that intends to list the target item to edit the description information generated for the target item; a storage unit that stores difference information representing a difference between description information generated for the target item and description information published for the target item, in association with a shop that is trying to put up the target item; Equipped with The creation unit creates a prompt for generating explanatory information based on difference information accumulated in the past in association with the shop where the target item is to be put up for sale. It is characterized by:

[0015] A generating method according to a third aspect of the present invention comprises: A generation method executed by a generation device, comprising: a receiving step of receiving input of specification information to be attached to a target item to be put up for sale on an electronic marketplace by publishing specification information for identifying the item and explanatory information for promoting the purchase of the item from the shop, thereby allowing the shop to sell the item; a selection step of selecting a plurality of similar items being sold in the online market by disclosing specification information similar to the specification information related to the received input; a step of identifying a common expression that appears in common among a plurality of pieces of explanatory information attached to the plurality of selected similar items; a creating step of creating a prompt for generating explanatory information based on the specification information related to the received input and the identified common expression; a generating step of generating explanatory information to be attached to the target item by applying the generated prompt to a large-scale language model; The present invention is characterized by comprising:

[0016] A generating method according to a fourth aspect of the present invention comprises: A generation method executed by a generation device, comprising: a receiving step of receiving input of specification information to be attached to a target item to be put up for sale on an electronic marketplace by publishing specification information for identifying the item and explanatory information for promoting the purchase of the item from the shop, thereby allowing the shop to sell the item; a creating step of creating a prompt for generating explanatory information based on the specification information related to the received input; a generating step of generating explanatory information to be attached to the target item by applying the generated prompt to a large-scale language model; an editing step of having a shop that is going to exhibit the target item edit the description information generated for the target item; a storing step of storing difference information representing a difference between description information generated for the target item and description information published for the target item in association with a shop that is going to put the target item up for sale; Equipped with In the creating step, a prompt is created to generate explanatory information based on difference information accumulated in the past in association with the shop where the target item is to be put up for sale. It is characterized by:

[0017] A program according to a fifth aspect of the present invention comprises: Computer, a receiving unit that receives input of specification information to be attached to a target item to be put up for sale on an electronic marketplace that allows a shop to sell the item by disclosing specification information for identifying the item and explanatory information for promoting the purchase of the item from the shop; a selection unit that selects a plurality of similar items being sold in the online market by disclosing specification information similar to the specification information related to the received input; an identification unit that identifies a common expression that appears in a plurality of pieces of explanatory information attached to the plurality of selected similar items; a creation unit that creates a prompt for generating explanatory information based on the specification information related to the received input and the identified common expression; a generating unit that generates explanatory information to be attached to the target item by providing the generated prompt to a large-scale language model; The present invention is characterized in that it functions as a

[0018] A program according to a sixth aspect of the present invention comprises: Computer, a receiving unit that receives input of specification information to be attached to a target item to be put up for sale on an electronic marketplace that allows a shop to sell the item by disclosing specification information for identifying the item and explanatory information for promoting the purchase of the item from the shop; a generating unit that generates a prompt for generating explanatory information based on the specification information related to the received input; a generating unit that generates explanatory information to be attached to the target item by providing the generated prompt to a large-scale language model; an editing unit that allows a shop that intends to sell the target item to edit the generated description information about the target item; a storage unit that stores difference information representing a difference between description information generated for the target item and description information published for the target item, in association with the shop that is trying to put up the target item; It functions as The creation unit creates a prompt for generating explanatory information based on difference information accumulated in the past in association with the shop where the target item is to be put up for sale. It is characterized by:

[0019] The program may be recorded on a non-transitory recording medium. The non-transitory recording medium can be distributed or sold independently of the computer. Here, a non-transitory recording medium refers to a tangible recording medium. Examples of non-transitory recording media include compact discs, flexible disks, hard disks, magneto-optical disks, digital video disks, magnetic tapes, and semiconductor memories. A transitory recording medium refers to the transmission medium (propagation signal) itself. Examples of transitory recording media include electrical signals, optical signals, and electromagnetic waves. A temporary storage area is an area for temporarily storing data and programs, such as volatile memory such as RAM (Random Access Memory). [Effects of the Invention]

[0020] According to the present invention, it is possible to provide a generating device, a generating method, and a program that can support the creation of explanatory information that serves as an advertisement for shops in online markets. [Brief explanation of the drawings]

[0021] [Figure 1] 1 is a diagram illustrating the relationship between a generating device, a terminal, an online market server, and an external server according to an embodiment. [Figure 2] FIG. 2 is a diagram illustrating a hardware configuration of a generating device according to an embodiment. [Figure 3] FIG. 2 is a diagram illustrating a functional configuration of a generating device according to an embodiment. [Figure 4] FIG. 10 is a diagram illustrating an example of a creation page according to the embodiment. [Figure 5] FIG. 10 is a diagram illustrating an example of a prompt according to an embodiment. [Figure 6] FIG. 10 is a diagram illustrating an example of a creation page according to the embodiment. [Figure 7] FIG. 10 is a diagram illustrating an example of a difference information table according to the embodiment. [Figure 8] FIG. 2 is a diagram illustrating a generation process executed by a generation device according to an embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0022] (1. Overall structure) As shown in FIG. 1, a generation device 100 according to an embodiment of the present invention is communicatively connected to a plurality of shop terminals 200, an online market server 300, and an external server 400 via a computer communication network 500 such as the Internet.

[0023] The generating device 100 is a device that supports a shop in creating explanatory information that serves as an advertisement for an item to be sold on an online market. For example, the generating device 100 generates explanatory information for a specified item in response to a request from the shop terminal 200, provides the generated explanatory information to the shop terminal 200, and accepts edits to the generated explanatory information from the shop terminal 200.

[0024] The shop terminal 200 is a device used by a shop that sells items on the online market. The shop terminal 200 is, for example, a smartphone, a tablet computer, etc. A shop that uses the shop terminal 200 uses the generation device 100 to create description information for an item that the shop wishes to list on the online market.

[0025] The online market server 300 is a server that manages the online market. For example, the online market accepts registration of information for selling items from the shop terminal 200. Furthermore, for example, the online market server 300 provides item information, processes item purchases, and the like in response to requests from shopper terminals (not shown) used by shoppers.

[0026] Information for selling an item includes specification information and description information. Specification information is information for identifying an item. For example, specification information is the item name, item image, etc. Description information is information for promoting the purchase of an item, and serves an advertising role. For example, description information is information that explains how the item can be used and information that explains the advantages of the item.

[0027] The online market server 300 allows shops to sell items on the online market by publishing specification information for identifying the items and description information for promoting the purchase of the items. For example, the online market server 300 allows shops to sell items on the online market by publishing a sales page on the online market that contains the specification information and description information of the items.

[0028] The external server 400 has a large-scale language model and outputs information according to an input prompt, as will be described later. For example, the external server 400 receives a prompt from the generation device 100 and outputs information according to the prompt to the generation device 100.

[0029] (2. Hardware configuration of the generation device) FIG. 2 is a block diagram showing the hardware configuration of generation device 100. As shown in FIG.

[0030] 2, the generating device 100 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM 13, a recording medium 14, an output device 15, a communication device 16, and an input device 17. The components are connected to each other via a bus 18.

[0031] The CPU 11 controls the overall operation of the generating device 100, and is connected to each component to exchange control signals and data.

[0032] The ROM 12 stores operating programs and various data required for controlling the overall operation of the generating device 100.

[0033] The RAM 13 is used to temporarily store data and programs, and stores programs and data read from the recording medium 14, as well as other data necessary for communication.

[0034] The recording medium 14 is composed of a hard disk, a flash memory, or the like, and records data to be processed by the generating device 100.

[0035] The output device 15 includes a display device such as an LCD (Liquid Crystal Display) and an audio output device such as a speaker. The output device 15 outputs, for example, data output from the CPU 11 under the control of the CPU 11.

[0036] The communication device 16 includes a communication interface for connecting the generation device 100 to a computer communication network such as the Internet, and communicates with other information processing devices and the like via the communication device 16.

[0037] The input device 17 includes an input device such as a button, a keyboard, a touch panel, a microphone, etc. The input device 17 receives an operation input from a user of the generation device 100, and outputs a signal corresponding to the received operation input to the CPU 11.

[0038] (3. Functional Configuration of the Generation Device of the Embodiment) The functional configuration of generation device 100 will be described with reference to FIG.

[0039] The generating device 100 functionally includes a receiving unit 101, a selecting unit 102, a specifying unit 103, a creating unit 104, a generating unit 105, an editing unit 106, and a storage unit 107. In this embodiment, the CPU 11 and the communication device 16 function as the receiving unit 101, the selecting unit 102, the specifying unit 103, the generating unit 105, the editing unit 106, and the storage unit 107, and the CPU 11 functions as the creating unit 104.

[0040] In the following, it is assumed that when the generation device 100 receives a request from the shop terminal 200 to start creating explanatory information, it provides the shop terminal 200 with a creation page for creating explanatory information. For example, when "Shop S1" is creating a sales page for "Item P1-1" that it plans to list on an online marketplace and issues an instruction to start creating explanatory information in the shop terminal 200, the shop terminal 200 sends a request to start creating explanatory information to the generation device 100. In response to the request to start creating explanatory information, the generation device 100 provides the shop terminal 200 with a creation page.

[0041] FIG. 4 shows an example of a creation page. Creation page 600-1 in FIG. 4 is provided when “Shop S1” requests the creation of description information for “Item P1-1.” Creation page 600-1 includes a field 601 for entering the name of the item the shop intends to list on the online marketplace; a field 602 for selecting an image of the item to be referenced when generating the description information; a field 603 for entering appealing features of the item to be referenced when generating the description information; a button 604 for instructing the creation of description information; a field 605 for displaying the generated description information; and a button 606 for copying the description information displayed in field 605 to the clipboard. The item name displayed in field 601 is the name of the item entered by the shop when creating the sales page, and includes the item's attributes, characteristics, etc. in addition to the item name. The item image displayed in field 602 is an image uploaded by the shop when creating the sales page. By selecting a radio button 607 included in field 602, the shop can select an image of the item to be referenced when generating the description information. In FIG. 4, Image 1 is selected. Input into field 603 is optional, and description information will be generated even if selling points are not entered. The description information displayed in field 605 can be edited by the shop by filling it in directly. When button 606 is selected, the description information displayed in field 605 is copied to the clipboard. The shop can use the description information by copying the description information copied to the clipboard to the sales page they are creating.

[0042] The reception unit 101 receives input of specification information to be attached to a target item to be put up for sale on an online marketplace from a shop.

[0043] The target item is an item that a shop is trying to put up for sale on the online market, for example, the target item is "item P1-1" that "shop S1" is trying to put up for sale on the online market. The specification information to be attached to the target item is information for identifying the item entered by the shop, such as the item name, item image, and appealing points of the target item.

[0044] For example, when "Shop S1" selects button 604 on creation page 600-1 of Figure 4, the reception unit 101 receives the item name "Item P1-1 Color C1 Size M1" displayed in field 601 and "Image 1" selected in area 602 as specification information.

[0045] The selection unit 102 selects a plurality of similar items that are on sale in the online market by disclosing specification information similar to the specification information related to the received input.

[0046] The criteria for determining similarity of the specification information are arbitrarily set by the user of the generation device 100. For example, if the number of words in the item name of an item sold on the online market that match words included in the item name accepted as specification information is equal to or greater than a predetermined threshold, the selection unit 102 selects the item sold on the online market as a similar item. Alternatively, for example, the selection unit 102 calculates the similarity between an image of an item sold on the online market and an image of an item accepted as specification information using a learning device that performs machine learning, and selects an item sold on the online market whose similarity is equal to or greater than a predetermined threshold as a similar item. Note that the method for calculating the similarity of images is not limited to using such a learning device; for example, similarity may be calculated using other methods, such as extracting characteristic features from each image and performing pattern matching. Hereinafter, "item P1-2" to "item P1-N (N: a positive number greater than or equal to 2)" are defined as items sold on the online market that have specification information similar to the specification information of "item P1-1."

[0047] Here, the selection unit 102 selects a plurality of similar items based on the number of views, the number of sales, or the sales amount in the online marketplace.

[0048] For example, the selection unit 102 selects, as multiple similar items, items P1-2 to P1-N that have specification information similar to that of the item P1-1 and are sold on the online market, whose number of views, number of sales, or sales amount on the online market is equal to or exceeds a predetermined threshold. The predetermined thresholds for the number of views, number of sales, and sales amount are set arbitrarily by the user of the generation device 100.

[0049] Alternatively, the selection unit 102 selects a plurality of similar items such that the similar items are sold at different shops.

[0050] For example, the selection unit 102 selects similar items from a plurality of items "item P1-2" to "item P1-N" sold on the online marketplace that have specification information similar to that of "item P1-1" by limiting the items to one sold by the same shop. The criterion for limiting the items to one is set arbitrarily by the user of the generation device 100. For example, the selection unit 102 selects the item with the highest number of views, number of sales, or sales amount among the items sold by the same shop. In the following, it is assumed that "item P1-2" to "item P1-M (M is a positive number equal to or greater than 2)" are selected as similar items, and that "item P1-2" to "item P1-M" are sold on the online marketplace by "shop S1" to "shop ST (T is a positive number equal to M-1)," respectively.

[0051] Furthermore, the selection unit 102 selects a plurality of similar items from shops selling a plurality of similar items, excluding the shop that is trying to sell the target item.

[0052] For example, the selection unit 102 selects "item P1-3" to "item P1-M" from "item P1-2" to "item P1-M" as similar items, excluding "item P1-2" sold by "shop S1".

[0053] The identifying unit 103 identifies a common expression that appears in common in the multiple pieces of explanatory information attached to the multiple selected similar items.

[0054] A common expression is an expression that is commonly used among expressions used in a plurality of pieces of explanatory information attached to a plurality of similar items. For example, a common expression is a word, a phrase, a wording, or the like.

[0055] For example, the identification unit 103 accesses the online market server 300, refers to the description information included in the sales pages of "Item P1-3" to "Item P1-M," and identifies common expressions commonly used in the description information of "Item P1-3" to "Item P1-M." In the following, it is assumed that "Common Expression 1" to "Common Expression 3" are identified.

[0056] The identifying unit 103 further identifies a unique expression that appears in any one of the plurality of pieces of explanatory information attached to the plurality of selected similar items.

[0057] The unique expression is an expression used in one of the multiple pieces of explanatory information attached to the multiple similar items, such as a word, a phrase, or a statement.

[0058] For example, the identification unit 103 further identifies a unique expression used in any one of the description information of "item P1-3" to "item P1-M." In the following, it is assumed that "unique expression 1" to "unique expression 3" are identified.

[0059] The creation unit 104 creates a prompt for generating explanatory information based on the specification information related to the received input and the identified common expression.

[0060] Furthermore, the creating unit 104 creates a prompt for generating explanatory information that does not include the identified specific expression.

[0061] A prompt indicates an instruction to be given to a large-scale language model. For example, a prompt template is stored in the recording medium 14 of the generation device 100, and the creation unit 104 creates the prompt by referring to the template. Specifically, the creation unit 104 creates a prompt that includes an instruction to generate explanatory information based on the item name and image received as specification information, the explanatory information including "common expression 1" to "common expression 3" identified by the identification unit 103, but not including "unique expression 1" to "unique expression 3" identified by the identification unit 103.

[0062] An example of a generated prompt is shown in Figure 5. Prompt 700 in Figure 5 includes instructions 701 for generating explanatory information based on the item name, item image, etc. input as specification information, a constraint 702 that specifies that the explanatory information should include the identified expressions "common expression 1" to "common expression 3," and a constraint 703 that specifies that the explanatory information should not include the identified expressions "peculiar expression 1" to "peculiar expression 3."

[0063] The generation unit 105 provides the generated prompt to a large-scale language model to generate explanatory information to be attached to the target item.

[0064] For example, the generation unit 105 inputs a prompt, "item P1-1 color C1 size M1" and "image 1" to the external server 400 having a large-scale language model, and causes the external server 400 to generate explanatory information to be attached to "item P1-1." The generation unit 105 then receives the generated explanatory information from the external server 400 and displays the received explanatory information in the field 605 of the creation page.

[0065] An example of a creation page on which the generated explanatory information is displayed is shown in Figure 6. In column 605 of creation page 600-2 in Figure 6, explanatory information including "common expression 1" to "common expression 3" but not "unique expression 1" to "unique expression 3" is displayed.

[0066] The editing unit 106 allows the shop that is going to put up the target item to edit the description information generated for the target item.

[0067] For example, the editing department 106 accepts an edit from "Shop S1" that is trying to sell "Item P1-1" to change the explanatory information displayed in column 605 of creation page 600-2 in Fig. 6 from "The effect that can be obtained" to "The effect that can be obtained." Then, when button 606 on creation page 600-2 in Fig. 6 is selected, the modified explanatory information is copied to the clipboard.

[0068] The storage unit 107 stores difference information indicating the difference between the description information generated for the target item and the description information published for the target item in association with the shop where the target item is to be put up for sale.

[0069] The description information generated for the target item is the description information generated by the generation unit 105. Furthermore, the description information published for the target item is the description information generated by the generation unit 105 or the description information edited by the shop and published in the online market.

[0070] The difference information is information indicating the difference between the description information generated by the generation unit 105 for the target item and the description information published on the online market. If the description information generated by the generation unit 105 is used as is, there is no difference between the description information generated for the target item and the description information published for the target item, but if the description information generated by the generation unit 105 is edited, there is a difference between the description information generated for the target item and the description information published for the target item. In other words, the difference information is information indicating the modifications made by the shop.

[0071] For example, when a sales page for "item P1-1" is published on the online market, the storage unit 107 compares the description information generated for "item P1-1" with the description information included on the sales page for "item P1-1." If the storage unit 107 detects differences between the generated description information and the published description information, it stores the differences as difference information on the recording medium 14.

[0072] 7 shows an example of a difference information table including difference information. In the difference information table 800 of FIG. 7, shop IDs for identifying shops selling items on the online market, item IDs for identifying items sold by shops on the online market, and difference information indicating the content of differences between the generated description information and the published description information are registered in association with each other. The record in the first row of the difference information table 800 indicates that "shop S1" (shop ID "S1") is selling "item P1-1" (item ID "P1-1") on the online market, and the content of the difference between the generated description information and the published description information is "the effect is obtained" in the generated description information and "the effect is brought about" in the published description information.

[0073] The creation unit 104 then creates a prompt for generating explanatory information based on the difference information accumulated in the past in association with the shop that is going to put up the target item.

[0074] For example, when "Shop S1" newly puts "Item P10-1" up for sale on the online market, the creation unit 104 refers to the difference information table 800 in Fig. 7 and creates a prompt for generating description information that is based on the specification information of the received "Item P10-1," the identified common expression, and the difference information associated with "Shop S1," and does not include idiosyncratic expressions. Specifically, the creation unit 104 adds to the constraints included in the prompt a condition that, if the initial draft of the description information includes the generated description information indicated in the difference information, the description information is changed to the published description information indicated in the difference information.

[0075] (4. Generation Process by the Generation Device of the Embodiment) The generation process executed by the generation device 100 of this embodiment will be described with reference to Fig. 8. When the generation device 100 receives an instruction to generate explanation information from the shop terminal 200, it starts the generation process shown in Fig. 8. For example, when button 604 is selected on creation page 600-1 of Fig. 4, the generation device 100 starts the generation process of Fig. 8.

[0076] The reception unit 101 receives, from a shop, input of specification information to be attached to a target item to be put up for sale on an online market (step S101).

[0077] For example, when "Shop S1" selects button 604 on creation page 600-1 of Figure 4, the reception unit 101 receives the item name "Item P1-1 Color C1 Size M1" displayed in field 601 and "Image 1" selected in area 602 as specification information.

[0078] The selection unit 102 selects a plurality of similar items that are sold in the online market by disclosing specification information similar to the specification information related to the received input (step S102).

[0079] For example, the selection unit 102 selects as similar items "Item P1-3" to "Item P1-M" from among "Item P1-2" to "Item P1-N" sold on the online market that have specification information similar to the specification information related to the received input, and whose number of views, number of sales, or sales amount on the online market is equal to or exceeds a predetermined threshold, excluding "Item P1-2" sold by "Shop S1."

[0080] The identification unit 103 identifies common expressions that appear in the multiple pieces of explanatory information attached to the selected multiple similar items, and unique expressions that appear in any one of the multiple pieces of explanatory information attached to the selected multiple similar items (step S103).

[0081] For example, the identification unit 103 accesses the online market server 300, refers to the description information included in the sales pages of "item P1-3" to "item P1-M," and identifies "common expression 1" to "common expression 3" that are commonly used in the description information of "item P1-3" to "item P1-M." The identification unit 103 also identifies "unique expression 1" to "unique expression 3" that are used in any one of the description information of "item P1-3" to "item P1-M."

[0082] The creation unit 104 creates a prompt for generating explanatory information based on the specification information related to the received input and the identified common expression, the explanatory information not including the identified specific expression (step S104).

[0083] For example, the creation unit 104 generates a prompt containing instructions to generate explanatory information based on "Item P1-1 Color C1 Size M1" and "Image 1", which includes "Common Expression 1" to "Common Expression 3" identified by the identification unit 103, but does not include "Specific Expression 1" to "Specific Expression 3" identified by the identification unit 103.

[0084] The generation unit 105 provides the generated prompt to the large-scale language model to generate explanatory information to be attached to the target item (step S105).

[0085] For example, the generation unit 105 inputs a prompt, "item P1-1 color C1 size M1" and "image 1" to an external server 400 having a large-scale language model, causes the external server 400 to generate explanatory information to be attached to "item P1-1", receives the generated explanatory information and displays it in column 605 of the creation page.

[0086] According to this embodiment, description information for an item to be put up for sale on an online market is generated based on the specification information for the item to be put up for sale on an online market and common expressions used in description information for similar items sold on the online market, thereby automatically generating a rough draft of description information that conveys the appeal of the item and does not miss any important points.

[0087] Furthermore, according to this embodiment, difference information indicating the difference between the description information generated for an item and the description information published for the item on the online market is accumulated, and a prompt for generating description information is created based on the past difference information. As a result, if a shop has previously modified the description information generated by the generation device 100, the same modification can be automatically made in advance when generating new description information for the item. This eliminates the need for the shop to make the same modification.

[0088] Furthermore, according to this embodiment, similar items with explanatory information to be referenced when identifying common expressions are selected based on the number of views, number of sales, or sales amount in the online marketplace. This allows for reference to the explanatory information of items with high numbers of views or sales, making it possible to generate a rough draft of appropriate explanatory information.

[0089] Furthermore, according to this embodiment, multiple similar items with explanatory information attached to them that are referenced when identifying a common expression are selected so that the shops selling the multiple similar items are different from each other. This allows common expressions used by different shops to be used as common expressions, and allows description information including such expressions to be generated.

[0090] Furthermore, according to this embodiment, multiple similar items with explanatory information referenced to identify common expressions are selected, excluding items sold by the shop that is trying to sell the item. This allows users to refer to explanatory information from other shops rather than the explanatory information from the shop that is trying to sell the item.

[0091] Furthermore, according to this embodiment, a unique expression that appears in one of the descriptions of similar items sold on the online market is identified, and a prompt is created to generate description information that does not include the specific expression. This makes it possible to generate description information that excludes expressions unique to shops selling similar items, and automatically generate description information that does not plagiarize expressions from other shops.

[0092] (5. Modifications) Although the embodiment of the present invention has been described above, various modifications and applications are possible in carrying out the present invention.

[0093] In the above embodiment, the functional units of the generating device 100 are shown in Fig. 3, but are not limited to this. Functionally, the generating device 100 may include only the receiving unit 101, the creating unit 104, the generating unit 105, the editing unit 106, and the storing unit 107.

[0094] Specifically, the receiving unit 101 receives input of specification information to be attached to a target item to be put up for sale on the online marketplace from a shop. The creating unit 104 creates a prompt for generating explanatory information based on the specification information related to the received input. The generating unit 105 generates explanatory information to be attached to the target item by providing the created prompt to a large-scale language model. The editing unit 106 causes the shop that is putting up the target item to edit the explanatory information generated for the target item. The storage unit 107 stores difference information representing the difference between the explanatory information generated for the target item and the explanatory information published for the target item in association with the shop that is putting up the target item. The creating unit 104 then creates a prompt for generating explanatory information based on difference information previously stored in association with the shop that is putting up the target item. In other words, the generating device 100 generates explanatory information based on the specification information of the target item and content previously edited by the shop that is putting up the target item, without reference to explanatory information published by other shops on the online marketplace.

[0095] In the above embodiment, the generation device 100 generates the description information for the item that a shop is trying to put up for sale by referring to the description information attached to similar items sold by other shops, but this is not limited to this. The generation device 100 may also generate the description information by referring to the description information attached to similar items sold by the shop that is trying to put up the target item.

[0096] Specifically, the selection unit 102 selects multiple similar items so that they are items that are already being sold on the online market by the shop that is listing the target item and that have the highest number of views, sales, or sales amount on the online market.

[0097] For example, among the items sold on the online market that have specification information similar to that of "Item P11-1" that "Shop S1" is putting up for sale, the items sold by "Shop S1" are designated as "Item P11-2" to "Item P11-K (K: a positive number greater than or equal to 2)." In this case, the selection unit 102 selects, from "Item P11-2" to "Item P11-K," items whose number of views, number of sales, or sales amount on the online market are greater than or equal to a predetermined threshold as multiple similar items.

[0098] This allows the shop to refer to the description information of items that are being viewed and selling well, and to generate a rough draft of appropriate description information.

[0099] Alternatively, the selection unit 102 selects multiple similar items so as to include top items, which are items that are already being sold on the online market by the shop that is listing the target item, and which have the highest number of views, sales volume, or sales amount on the online market, and bottom items, which are lower-ranking items.

[0100] For example, the selection unit 102 selects multiple similar items from among "item P11-2" to "item P11-K," with the items whose number of views, number of sales, or sales amount on the online marketplace is equal to or greater than a first threshold as higher-level items, and the items whose number of views, number of sales, or sales amount on the online marketplace is equal to or less than a second threshold as lower-level items. The first and second thresholds for the number of views, number of sales, and sales amount are arbitrarily set by the user of the generation device 100. Hereinafter, the higher-level items included in the selected multiple similar items will be referred to as "item P11-2" to "item P11-5," and the lower-level items will be referred to as "item P11-12" to "item P11-15."

[0101] Next, the identification unit 103 identifies a superordinate expression that appears in the explanatory information attached to a superordinate item included in the selected plurality of similar items but does not appear in the explanatory information attached to a subordinate item included in the selected plurality of similar items, and a subordinate expression that appears in the explanatory information attached to a subordinate item included in the selected plurality of similar items but does not appear in the explanatory information attached to a superordinate item included in the selected plurality of similar items.

[0102] For example, the identification unit 103 identifies superordinate expressions that appear in the explanation information attached to the superordinate items "item P11-2" to "item P11-5" but do not appear in the explanation information attached to the subordinate items "item P11-12" to "item P11-15". The identification unit 103 also identifies subordinate expressions that appear in the explanation information attached to the subordinate items "item P11-12" to "item P11-15" but do not appear in the explanation information attached to the superordinate items "item P11-2" to "item P11-5". Hereinafter, the identified superordinate expressions will be referred to as "superordinate expression 1" to "superordinate expression 3", and the identified subordinate expressions will be referred to as "subordinate expression 1", to "subordinate expression 3".

[0103] Then, the creating unit 104 creates a prompt for generating explanatory information that includes the identified higher-level expression and does not include the identified lower-level expression.

[0104] For example, the creation unit 104 creates a prompt containing instructions to generate explanatory information based on the item name and image received as specification information, which includes ``super-representation 1'' to ``super-representation 3'' identified by the identification unit 103, but does not include ``sub-representation 1'' to ``sub-representation 3'' identified by the identification unit 103.

[0105] This allows the shop to refer to description information for items sold by itself that have high numbers of views and sales, as well as description information for items that have low numbers of views and sales, and to generate a rough draft of appropriate description information.

[0106] Furthermore, in the above embodiment, the identification unit 103 identifies an expression that appears in any one of the multiple pieces of explanatory information attached to the selected multiple similar items as a unique expression, but this is not limited thereto. The identification unit 103 may identify an expression that appears in only one of the multiple pieces of explanatory information attached to the selected multiple similar items as a unique expression. Alternatively, the identification unit 103 may determine a small threshold H according to the number L of multiple pieces of explanatory information, and identify an expression that appears in up to H pieces of explanatory information as a unique expression. For example, if the number L is 2 to 100, the threshold H is set to 1, and if the number L is 100 to 1000, the threshold H is set to 2. The threshold H can be arbitrarily adjusted by the user of the generation device 100.

[0107] In addition, by applying an operating program that defines the operation of the generating device 100 according to the above embodiment to an existing personal computer or information terminal device, it is also possible to make the personal computer or information terminal device function as the generating device 100 according to the embodiment.

[0108] The present invention allows various embodiments and modifications without departing from the broad spirit and scope of the present invention. Furthermore, the above-described embodiments are intended to explain the present invention and do not limit the scope of the present invention. That is, the scope of the present invention is defined by the claims, not the embodiments. Various modifications made within the scope of the claims and the meaning of the invention equivalent thereto are considered to be within the scope of the present invention. [Industrial Applicability]

[0109] According to the present invention, it is possible to provide a generating device, a generating method, and a program that can support the creation of explanatory information that serves as an advertisement for shops in online markets. [Explanation of symbols]

[0110] 11 CPU 12 ROM 13 RAM 14 Recording media 15 Output Devices 16. Communication Devices 17 Input Devices 18 Bus 100 generator 101 Reception 102 Selection section 103 Specific part 104 Creation Department 105 Generation part 106 Editorial Department 107 Storage Unit 200 shop terminals 300 Electronic Market Server 400 External Server 500 Computer Network 600-1,600-2 Created page Columns 601, 603, and 605 602 areas 604,606 buttons 607 Radio Button 700 prompt 701 Instructions 702,703 Constraints 800 Difference Information Table

Claims

1. a receiving unit that receives input of specification information to be attached to a target item to be put up for sale on an electronic marketplace that allows a shop to sell the item by disclosing specification information for identifying the item and explanatory information for promoting the purchase of the item from the shop; a selection unit that selects a plurality of similar items being sold in the online market by disclosing specification information similar to the specification information related to the received input; an identifying unit that identifies a common expression that appears in common among a plurality of pieces of explanatory information attached to the plurality of selected similar items; a creation unit that creates a prompt for generating explanatory information based on the specification information related to the received input and the identified common expression; a generating unit that generates explanatory information to be attached to the target item by providing the generated prompt to a large-scale language model; A generating device comprising:

2. an editing unit that allows a shop that intends to list the target item to edit the description information generated for the target item; a storage unit that stores difference information representing a difference between description information generated for the target item and description information published for the target item, in association with a shop that is trying to put up the target item; Furthermore, The creation unit creates a prompt for generating explanatory information based on difference information accumulated in the past in association with the shop where the target item is to be put up for sale. The generating device according to claim 1 .

3. The selection unit selects the plurality of similar items based on the number of views, the number of sales, or the sales amount in the online marketplace.

3. The generating device according to claim 1 or 2.

4. The selection unit selects the plurality of similar items so that the plurality of similar items are sold at different shops.

3. The generating device according to claim 1 or 2.

5. The selection unit selects the plurality of similar items from the shops selling the plurality of similar items, excluding the shop that is going to put up the target item. The generating device according to claim 4 .

6. The identification unit further identifies a unique expression appearing in any one of a plurality of pieces of explanatory information attached to the plurality of selected similar items, The creation unit creates a prompt for generating the explanatory information that does not include the identified specific expression.

3. The generating device according to claim 1 or 2.

7. The selection unit selects the plurality of similar items as items that are already being sold on the online market by the shop that is going to list the target item and that have the highest number of views, sales volume, or sales amount on the online market.

3. The generating device according to claim 1 or 2.

8. the selection unit selects the plurality of similar items to include top items that are items already being sold on the online market by the shop that is listing the target item, and that are top items in terms of number of views, number of sales, or sales amount on the online market, and bottom items that are bottom items; the identification unit identifies a superordinate expression that appears in explanatory information attached to a superordinate item included in the selected plurality of similar items but does not appear in explanatory information attached to a subordinate item included in the selected plurality of similar items, and a subordinate expression that appears in explanatory information attached to a subordinate item included in the selected plurality of similar items but does not appear in explanatory information attached to a superordinate item included in the selected plurality of similar items, The creating unit creates a prompt for generating the explanatory information that includes the identified higher-level expression and does not include the identified lower-level expression.

3. The generating device according to claim 1 or 2.

9. a receiving unit that receives input of specification information to be attached to a target item to be put up for sale on an electronic marketplace that allows a shop to sell the item by disclosing specification information for identifying the item and explanatory information for promoting the purchase of the item from the shop; a creation unit that creates a prompt for generating explanatory information based on the specification information related to the received input; a generating unit that generates explanatory information to be attached to the target item by providing the generated prompt to a large-scale language model; an editing unit that allows a shop that intends to list the target item to edit the description information generated for the target item; a storage unit that stores difference information representing a difference between description information generated for the target item and description information published for the target item, in association with a shop that is trying to put up the target item; Equipped with The creation unit creates a prompt for generating explanatory information based on difference information accumulated in the past in association with the shop where the target item is to be put up for sale. A generating device characterized by:

10. A generation method executed by a generation device, comprising: a receiving step of receiving, from a shop, specification information to be attached to a target item to be put up for sale on an electronic marketplace that allows the shop to sell the item by disclosing specification information for identifying the item and explanatory information for promoting the purchase of the item; a selection step of selecting a plurality of similar items being sold in the online market by disclosing specification information similar to the specification information related to the received input; a step of identifying a common expression that appears in common among a plurality of pieces of explanatory information attached to the plurality of selected similar items; a creating step of creating a prompt for generating explanatory information based on the specification information related to the received input and the identified common expression; a generating step of generating explanatory information to be attached to the target item by providing the generated prompt to a large-scale language model; A generating method comprising:

11. A generation method executed by a generation device, comprising: a receiving step of receiving, from a shop, specification information to be attached to a target item to be put up for sale on an electronic marketplace that allows the shop to sell the item by disclosing specification information for identifying the item and explanatory information for promoting the purchase of the item; a creating step of creating a prompt for generating explanatory information based on the specification information related to the received input; a generating step of generating explanatory information to be attached to the target item by providing the generated prompt to a large-scale language model; an editing step of having a shop that is going to exhibit the target item edit the description information generated for the target item; a storing step of storing difference information representing a difference between description information generated for the target item and description information published for the target item in association with a shop that is going to put the target item up for sale; Equipped with In the creating step, a prompt is created to generate explanatory information based on difference information accumulated in the past in association with the shop where the target item is to be put up for sale. A generating method characterized by:

12. Computer, a receiving unit that receives input of specification information to be attached to a target item to be put up for sale on an electronic marketplace that allows a shop to sell the item by disclosing specification information for identifying the item and explanatory information for promoting the purchase of the item from the shop; a selection unit that selects a plurality of similar items being sold in the online market by disclosing specification information similar to the specification information related to the received input; an identification unit that identifies a common expression that appears in a plurality of pieces of explanatory information attached to the plurality of selected similar items; a creation unit that creates a prompt for generating explanatory information based on the specification information related to the received input and the identified common expression; a generating unit that generates explanatory information to be attached to the target item by providing the generated prompt to a large-scale language model; A program characterized by functioning as

13. Computer, a receiving unit that receives input of specification information to be attached to a target item to be put up for sale on an electronic marketplace that allows a shop to sell the item by disclosing specification information for identifying the item and explanatory information for promoting the purchase of the item from the shop; a generating unit that generates a prompt for generating explanatory information based on the specification information related to the received input; a generating unit that generates explanatory information to be attached to the target item by providing the generated prompt to a large-scale language model; an editing unit that allows a shop that intends to sell the target item to edit the generated description information about the target item; a storage unit that stores difference information representing a difference between description information generated for the target item and description information published for the target item, in association with the shop that is trying to put up the target item; It functions as The creation unit creates a prompt for generating explanatory information based on difference information accumulated in the past in association with the shop where the target item is to be put up for sale. A program characterized by:

Citation Information

Patent Citations

  • Device and method for predicting share of every merchandise, and program for the same

    JP2005284470A

  • Generation apparatus, generation method, and generation program

    JP2018128805A

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

    JP2022167665A

  • PROGRAM, INFORMATION PROCESSING APPARATUS, METHOD AND SYSTEM

    JP7411137B1

  • Advertisement presentation method, advertisement presentation system, and program

    WO2009060829A1