EP-4123548-B1 - INFORMATION PROCESSING DEVICE FOR GENERATING CHANGED ADVERTISING CONTENT

Inventors

• TAGOMORI, TERUHIRO

Dates

Publication Date

20260506

Application Date

20220628

Claims (6)

1. An information processing device comprising: one or more processors; and a memory storing one or more programs, wherein when executed by the one or more processors, the one or more programs cause the one or more processors to: by applying a machine learning model to a first image including a portion indicating a first article for sale, generate a first changed image in which a predetermined portion other than the portion indicating the first article for sale in the first image is changed, provide a user with the first changed image having been generated by the machine learning model, collect access information of the user to one or more of changed images generated by the machine learning model, wherein the access information includes the number of accesses by the user to a changed image, specify, based on the access information, a change type corresponding to a changed image having a high number of accesses by the user, and by applying a machine learning model to a second image including a portion indicating a second article for sale, generate a second changed image for the second article for sale in which a predetermined portion other than the portion indicating the second article for sale in the second image is changed, and wherein the predetermined portion other than the portion indicating the second article for sale is determined to be a portion corresponding to the specified change type having the high number of accesses.
2. The information processing device according to claim 1, wherein specifying the change type is based on comparison between a user's access to a changed image in which a first portion other than the portion indicating a specific article for sale is changed and a user's access to a changed image in which a second portion other than the portion indicating the specific article for sale is changed.
3. The information processing device according to claim 2, wherein specifying the change type includes specifying a change type corresponding to a changed image having a high number of accesses by a plurality of users in a group based on information on accesses of a plurality of users in the group.
4. The information processing device according to claim 2, wherein specifying the change type includes specifying a change type having a high number of accesses by a specific user based on information on accesses of the specific user to changed images for a plurality of articles for sale.
5. The information processing device according to claim 1, wherein the first article for sale is a product dealt with in an electronic commerce service, and a predetermined portion other than the portion indicating the first article for sale includes at least any of a portion of a person who uses the product, a pose of a person who uses the product, and a background portion in the image.
6. The information processing device according to claim 1, wherein the one or more programs further cause the one or more processors to: by applying one or more machine learning models to the first image, generate a first set of changed images in each of which a portion other than the portion indicating the first article for sale in the first image is changed, provide a user with changed images of the first set of changed images having been generated by the one or more machine learning models; specify, based on the access of the user to the changed images of the first set of changed images, change types with a high number of accesses; and by applying one or more machine learning models to the second image, generate a second set of changed images for the second article for sale in each of which a portion other than the portion indicating the second article for sale in the second image is changed and corresponds to the specified change type.

Description

BACKGROUND Technical Field The present invention relates to an information processing device that generates new content based on content for a thing for sale using a machine learning model. Related Art In recent years, there is known a technology for dynamically generating an advertisement image by using calculation by a computer instead of manually generating an image to be used for an advertisement (JP 2018-077615 A). JP 2018-077615 A discloses a technology in which an advertising image generation device dynamically generates an advertising image based on a generation parameter group where each element constituting an advertisement is designated by text. Furthermore, JP 2018-077615 A discloses a technology for optimizing a generation parameter group by acquiring an advertising effect for an advertising image. US 2019/050427 A1 discloses a system to generate modified product images using machine-learning by altering non-product portions and presenting them to users in an e-commerce context. It is known that humans have a nature of developing a preference for things to which they continue to be exposed (also called the mere-exposure effect). However, it is known that this property is applicable when the humans are exposed to the same information about a few times (e.g., three times), but on the contrary, the interest is reduced if they continue to be exposed to the same information more times, for example, five times. In addition, it is also known that interest can be continued by presenting nonidentical information. If information (content such as an image) regarding a thing for sale can be presented using such nature of the humans, the user's interest can be effectively attracted. The present invention has been made in view of the above problem, and an object thereof is to achieve a technology that can generate effective content for a thing for sale that attracts an interest of a user. SUMMARY The present invention provides an information processing device as specified in claims 1 to 6. According to the present invention, it is possible to generate effective content for a thing for sale that attracts an interest of a user. BRIEF DESCRIPTION OF DRAWINGS FIG. 1 is a view explaining an outline of an information processing system according to an embodiment of the present invention;FIG. 2 is a block diagram showing a functional configuration example of an information processing device according to the present embodiment;FIG. 3 is a block diagram showing a functional configuration example of a communication device according to the present embodiment;FIG. 4 is a flowchart showing a series of operations of content generation processing according to the present embodiment;FIG. 5 is a flowchart showing a series of operations of access analysis processing as an example according to the present embodiment;FIG. 6 is a flowchart showing a series of operations of access analysis processing as another example according to the present embodiment;FIG. 7 is a view showing an example of a user table according to the present embodiment;FIG. 8 is a view showing an example of an extended user table according to the present embodiment;FIG. 9 is a view showing an example of a content table according to the present embodiment;FIG. 10A is a view showing an example of a search result according to the present embodiment;FIG. 10B is a view showing another example of the search result according to the present embodiment;FIG. 11 is a view showing an example of a change type table according to the present embodiment;FIG. 12 is a view showing an example of changed content according to the present embodiment;FIG. 13 is a view showing an example of changed content according to the present embodiment;FIG. 14 is a view showing an example of changed content according to the present embodiment;FIG. 15 is a view showing another example of the search result according to the present embodiment; andFIG. 16 is a view showing another example of the search result according to the present embodiment. DETAILED DESCRIPTION An embodiment will be described in detail below with reference to the accompanying drawings. Note that the following embodiment does not limit the invention according to the claims, and all combinations of features described in the embodiment are not necessarily essential to the invention. Two or more features of the plurality of features described in the embodiment may be discretionarily combined. In addition, the same or similar configurations are denoted by the same reference numerals, and redundant description will be omitted. <Outline of Information Processing System> FIG. 1 shows an outline of an information processing system according to the present embodiment. An information processing system 10 according to the present embodiment includes, for example, an information processing device 100 that is an information processing server as an example, and a communication device 110 and a communication device 120 that are smartphones a