Information processor, information processing method, and information processing program
The information processing device addresses the high costs of conventional advertising effectiveness measurement by processing evaluation information from users to generate efficient survey results, thereby reducing business expenses and enhancing decision-making for advertisers.
Patent Information
- Application Number
- JP2023152028
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-09-20
- Publication Date
- 2025-04-02
AI Technical Summary
Conventional technologies for measuring the effectiveness of advertising content are costly and inefficient in providing actionable insights to users.
An information processing device equipped with a storage unit, specifying unit, generation unit, and output unit, which collects and processes evaluation information from both viewing and non-viewing users to generate survey results for advertising content, thereby reducing business costs.
The solution enables the reduction of business costs by efficiently generating and providing survey results on the effectiveness of advertising content, allowing advertisers to make informed decisions.
Smart Images

Figure 2025044459000001_ABST
Abstract
Description
[Technical field]
[0001] The present application relates to an information processing device, an information processing method, and an information processing program. [Background technology]
[0002] In recent years, techniques related to measuring the effectiveness of content such as advertisements distributed via the Internet have been proposed. For example, a technique for estimating the degree of viewer attention to content is known (for example, see Patent Document 1). [Prior art documents] [Patent documents]
[0003] [Patent Document 1] JP 2022-040432 A Summary of the Invention [Problem to be solved by the invention]
[0004] However, the conventional techniques leave room for improvement in terms of reducing operational costs involved in providing users with information regarding the effectiveness of advertising content.
[0005] The present application has been made in consideration of the above, and aims to reduce operational costs involved in providing users with information regarding the effectiveness of advertising content. [Means for solving the problem]
[0006] The information processing device according to the present application includes a storage unit, a specification unit, a generation unit, and an output unit. The storage unit stores information that is created based on evaluation information including evaluation results of the advertisement content by browsing users who viewed the advertisement content and evaluation results of the advertisement content by non-browsing users who did not view the advertisement content, and indicates a survey result regarding the effectiveness of the advertisement content. The specification unit specifies a survey result of similar advertisement content similar to a target advertisement content to be processed from the survey results stored in the storage unit. The generation unit generates information that indicates a survey result regarding the target advertisement content based on first evaluation information that is evaluation information for the target advertisement content, second evaluation information that is evaluation information for the similar advertisement content, and the survey result regarding the similar advertisement content specified by the specification unit. The output unit outputs information that indicates a survey result corresponding to the advertiser in response to a request from the advertiser of the advertisement content. Effect of the Invention
[0007] According to one aspect of the embodiment, it is possible to reduce operational costs when providing information regarding the effectiveness of advertising content to users. [Brief description of the drawings]
[0008] [Figure 1] FIG. 1 is a diagram showing an overview of information processing executed by an information processing system according to an embodiment. [Diagram 2] FIG. 2 is a diagram illustrating an example of the configuration of the information processing device according to the embodiment. [Diagram 3] FIG. 3 is a diagram showing an overview of the evaluation information stored in the evaluation information DB according to the embodiment. [Figure 4] FIG. 4 is a diagram showing an outline of the investigation results stored in the investigation result DB according to the embodiment. [Diagram 5] FIG. 5 is a flowchart showing an example of a procedure (part 1) of information processing executed by the information processing device according to the embodiment. [Figure 6]FIG. 6 is a flowchart showing an example of a procedure (part 2) of information processing executed by the information processing device according to the embodiment. [Figure 7] FIG. 7 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device according to the embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0009] Hereinafter, the information processing device, information processing method, and information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing device, information processing method, and information processing program according to the present application are not limited to these embodiments. In addition, the embodiments can be appropriately combined as long as the processing contents are not contradictory. In addition, the same parts in the following embodiments are given the same reference numerals, and duplicated explanations will be omitted.
[0010] [Embodiment] [1. System configuration] Hereinafter, an overview of the information processing system SYS according to the embodiment will be described with reference to Fig. 1. In the information processing system SYS according to the embodiment, various information processes are realized based on the results of a survey on the effect of advertisements distributed via the Internet on the brands that are the targets of the advertisements.
[0011] For example, the information processing system SYS collects the results of a questionnaire survey on an advertisement from Internet users, and uses the collected questionnaire survey results to investigate the effect of the advertisement on a brand. The investigation of the effect of the advertisement on a brand includes an investigation of whether Internet users who viewed the advertisement are aware of the advertised brand, and an investigation of whether the advertisement has increased the number of organic searches for a target keyword related to the advertised brand. Note that the information processing realized in the information processing system SYS does not need to be particularly limited to examples targeting advertising content, and can target any content as long as the content is applicable to the information processing according to the embodiment.
[0012] As shown in Fig. 1, the information processing system SYS according to the embodiment includes a user device 10, an advertiser device 20, and an information processing device 100. The user device 10, the advertiser device 20, and the information processing device 100 are connected to a predetermined network such as the Internet (for example, a network N shown in Fig. 2) by wire or wirelessly. The user device 10, the advertiser device 20, and the information processing device 100 can communicate with other devices through the predetermined network.
[0013] The information processing device 100 is typically a server device, but may be realized by a mainframe, a workstation, etc. When the information processing device 100 is realized by a server device, it may be realized by a single server device, or may be realized by a cloud system in which a plurality of server devices and a plurality of storage devices operate in cooperation with each other.
[0014] The information processing device 100 is an information processing device that provides various online services to service users. For example, the various online services may include a search service, a travel information service, a social networking service (SNS), an electronic commerce service, an electronic payment service, an online game, an online banking service, an online trading service, a hotel reservation service, a ticket reservation service, a video distribution service, a music distribution service, a news distribution service, a map information service, a route search service, a route guidance service, a route information service, an operation information service, a weather information service, and a question service. The various online services may include an API (Application Programming Interface) service corresponding to various applications.
[0015] The information processing device 100 is an information processing device that executes information processing according to the embodiment. The information processing device 100 executes, as the information processing according to the embodiment, information processing for providing information indicating a survey result regarding the effect of an advertisement distributed through a predetermined network on a target brand that is the subject of the advertisement.
[0016] The information processing device 100 collects the results of a questionnaire survey on an advertiser company (or a target brand) from service users through the provision of various online services. An enterprise managing the information processing device 100 sets questions for the questionnaire survey in accordance with the advertiser company (or the target brand) that is the subject of the questionnaire survey. The information processing device 100 also conducts a questionnaire survey on the target brand for both browsing users who viewed the advertisement of the advertiser company (or the target brand) and non-browsing users who did not view the advertisement of the advertiser company (or the target brand), and collects responses to the questionnaire from each user. The information processing device 100 also uses the responses collected from each user as evaluation information indicating the evaluation result of the effect of the advertisement on the recognition level of the company (or the target brand). The information processing device 100 also generates information indicating the survey result regarding the effect of the advertisement on the recognition level of the company (or the target brand) based on the evaluation information. The information processing device 100 also stores the generated information indicating the survey result in a survey result DB (Data Base).
[0017] Furthermore, the information processing device 100 provides the advertiser with information indicating the survey results regarding the effect of the advertisement content distributed as an online advertisement through various online services on the recognition of the advertiser company (or target brand), etc. For example, the information processing device 100 can provide the advertiser with an advertisement management tool and provide the advertiser with the survey results report through the advertisement management tool.
[0018] The user device 10 is an information processing terminal used by a service user of various online services. For example, the user device 10 may be realized by a smartphone, a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a PDA (Personal Digital Assistant), etc. The user device 10 may have a communication function for performing short-distance wireless communication such as Bluetooth (registered trademark) or a wireless LAN (Local Area Network).
[0019] A service user who uses the user device 10 operates the user device 10 to access the information processing device 100, thereby using various online services as a service user. For example, the user device 10 can display web content provided by the information processing device 100 using a web browser or an application. When the user device 10 receives control information for implementing information display processing from the information processing device 100 or the like, the user device 10 implements the display processing in accordance with the control information.
[0020] The advertiser device 20 is an information processing terminal used by an advertiser who requests distribution of an online advertisement to a business operator operating various online services. For example, the advertiser device 20 may be realized by a smartphone, a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a PDA (Personal Digital Assistant), or the like. The advertiser device 20 may have a communication function for performing short-distance wireless communication such as Bluetooth (registered trademark) or a wireless LAN (Local Area Network).
[0021] An advertiser using the advertiser device 20 uses advertisement management tools provided by businesses operating various online services by operating the advertiser device 20 to access the information processing device 100. The advertiser device 20 can display web content provided by the information processing device 100, for example, using a web browser or an application. When the advertiser device 20 receives control information for realizing information display processing from the information processing device 100 or the like, the advertiser device 20 realizes the display processing according to the control information.
[0022] [2. Overview of information processing according to the embodiment] An overview of information processing executed by the information processing system SYS according to the embodiment will be described below with reference to Fig. 1. Fig. 1 is a diagram showing an overview of information processing executed by the information processing system SYS according to the embodiment.
[0023] 1, the user device 10 transmits evaluation information on advertisement content of company X to the information processing device 100 (step S1). For example, the user device 10 acquires a questionnaire on company X provided by the information processing device 100 through the use of an online service. The user device 10 transmits the service user's response to the questionnaire to the information processing device 100 as evaluation information.
[0024] Upon receiving the evaluation information on the advertisement content of company X, the information processing device 100 registers the received evaluation information in the evaluation information DB in association with the advertiser (and / or the advertisement content) (step S2).
[0025] The information processing device 100 refers to the search result DB and identifies the search result of similar advertisement content similar to the advertisement content of company X, which is the target advertisement content to be processed (step S3). Note that the information processing device 100 can execute the processing procedure of step S3 at a predetermined timing when the first evaluation information, which is evaluation information on the advertisement content of company X, is accumulated to a certain extent.
[0026] For example, the information processing device 100 may identify the results of a survey on advertising content of an advertiser whose business type is similar to that of the advertiser of the target advertising content. Also, for example, the information processing device 100 may identify the results of a survey on advertising content whose advertising target (for example, a product or service) is similar to that of the target advertising content. Also, for example, the information processing device 100 may identify the results of a survey on advertising content whose design or configuration (for example, color, number of characters, appearance, semantic information, etc.) is similar to that of the target advertising content itself. Also, for example, the information processing device 100 may identify the results of a survey on advertising content whose information indicating the target set as the delivery destination of the target advertising content (for example, attribute information such as age and gender) is similar.
[0027] In addition, the information processing device 100 may identify, as a survey result on similar advertising content that is similar to the target advertising content, a survey result on advertising content created based on second evaluation information, which is evaluation information in which the composition of viewing users and non-viewing users in the evaluation information on the advertising content is similar to the composition of viewing users and non-viewing users in first evaluation information, which is evaluation information on the target advertising content.
[0028] For example, the information processing device 100 may identify, as a survey result on similar advertising content that is similar to the target advertising content, a survey result on advertising content created based on second evaluation information in which the number of viewing users and the number of non-viewing users in the evaluation information for the advertising content are similar to those of the first evaluation information (for example, the difference from the number of viewing users corresponding to the target advertising content and the difference from the number of non-viewing users are within a predetermined range, respectively).
[0029] Furthermore, for example, the information processing device 100 may specify, as a survey result on similar advertising content similar to the target advertising content, a survey result on advertising content created based on second evaluation information, which is evaluation information on the advertising content in which a first ratio of the number of viewing users to the total number of users of the target advertising content and a second ratio of the number of non-viewing users to the total number of users of the target advertising content are approximately the same as the first ratio and the second ratio in the first evaluation information, which is evaluation information on the target advertising content (for example, the difference between the first ratio and the second ratio in the target advertising content is within a predetermined range).
[0030] In addition, for example, the information processing device 100 may identify, as a survey result on similar advertising content that is similar to the target advertising content, a survey result on advertising content created based on second evaluation information in which the attributes of the viewing user and the non-viewing user are similar to the attributes of the viewing user and the non-viewing user in the evaluation information for the target advertising content.
[0031] The information processing device 100 generates a search result for the target advertisement content based on the first evaluation information for the target advertisement content, the search result for the similar advertisement content, and the second evaluation information for the similar advertisement content (Step S4).
[0032] For example, the information processing device 100 generates a survey result report that adds consideration to the first evaluation information for the target advertisement content with reference to the second evaluation information, which is evaluation information for similar advertisement content, and the survey results for the similar advertisement content. Specifically, the information processing device 100 generates survey results for the target advertisement content by inputting the first evaluation information for the target advertisement content, the second evaluation information for the similar advertisement content, the survey results for the similar advertisement content, and instruction information (also called a "prompt") that instructs the generation of survey results for the target advertisement content with reference to the second evaluation information and the survey results for the similar advertisement content, to a generation model that has been trained to generate answers to input questions. The generation model generates survey results with its own consideration based on the input information, and outputs the generated survey results.
[0033] For example, the information processing device 100 inputs to the generative model the evaluation information about the similar advertisement (i.e., the second evaluation information), the investigation result based on the evaluation information, and the evaluation information about the target advertisement (i.e., the first evaluation information) along with instruction information such as "The combination of evaluation information and investigation results about past similar advertisements is as follows. The evaluation information about the current target advertisement is as follows. Please generate investigation results corresponding to the evaluation information about the current target advertisement, taking into consideration the evaluation information about past similar advertisements and the investigation results," to obtain information indicating the investigation results output from the generative model. The information processing device 100 registers the information indicating the investigation results that has been created in the investigation results DB in association with the advertiser. In this way, the information processing device 100 can reduce the operational costs required for creating investigation results by using the generative model to generate investigation results.
[0034] A generative AI (Artificial Intelligence) can be used as a generative model used by the information processing device 100 to generate a survey result. The generative AI includes, for example, a language model such as a transformer that is trained to estimate and output the next token from an input token string. The language model can employ a language model that performs natural language processing such as GPT (Generative Pre-trained Transformer) or BERT (Bidirectional Encoder Representations from Transformers). The language model is stored inside the information processing device 100 and is created independently by the operator of the information processing device 100. It is preferable that the input information is trained so as not to be used as a new answer, thereby concealing the input information such as personal information.
[0035] The advertiser device 20 transmits a request for acquiring the survey result report to the information processing device 100 in accordance with the operation of the advertiser (step S5).
[0036] When the information processing device 100 receives a request to obtain a survey result report from the advertiser device 20, it obtains the survey result corresponding to the advertiser that sent the request from the survey result DB (step S6). Then, the information processing device 100 outputs information indicating the obtained survey result to a file as a survey result report. In addition, the information processing device 100 transmits the survey result report output to the file to the advertiser device 20, thereby providing it to the advertiser (step S7).
[0037] As shown in the example of FIG. 1, the investigation result report is composed of, for example, a section titled "Investigation Results Summary" and a section titled "Next Action."
[0038] The "survey result summary" item further includes items such as "advertising recall," "brand awareness," "purchase intention," and "search lift." The generative model summarizes and writes out information corresponding to each item in the "survey result summary" item using evaluation information on the target advertising content, with reference to the second evaluation information on the similar advertising content and the survey results on the similar advertising content. The generative model also estimates information corresponding to the "Next Action" item using evaluation information on the target advertising content, with reference to the second evaluation information on the similar advertising content and the survey results on the similar advertising content, and writes out the estimated result.
[0039] Furthermore, the information processing device 100 may include a summary of evaluation information on the target advertising content as the investigation result. For example, the information processing device 100 can cause the generative model to create a summary of the investigation result by adding an instruction such as "Please also create a summary of the evaluation information as the investigation result" to the end of the above-mentioned instruction information.
[0040] Furthermore, the information processing device 100 may include a proposal for a content delivery method based on the survey result as the survey result. For example, the information processing device 100 can cause the generative model to create a proposal for a content delivery method by adding an instruction to the end of the above-mentioned instruction information, "Furthermore, as the survey result, please create an improvement proposal for the advertisement delivery mode or a new delivery mode. Please indicate the information of the user who is the delivery destination and the type of web content to deliver the advertisement." Note that the type of web content to deliver the advertisement may be information indicating the category of the advertisement display space.
[0041] Furthermore, the information processing device 100 may include a proposal for a content configuration based on the survey results as the survey results. For example, the information processing device 100 can cause the generative model to create a proposal for a content configuration based on the survey results by adding an instruction to the end of the above-mentioned instruction information, "Furthermore, as the survey results, please create an improvement proposal for the advertisement aspect. Please indicate the advertisement aspect such as the advertisement's configuration, color, and the content of the text to be placed." The advertisement aspect may be the appearance of the advertisement or semantic information.
[0042] [3. Equipment configuration] An example of the functional configuration of the information processing device 100 included in the information processing system according to the embodiment will be described below. Fig. 2 is a diagram showing an example of the configuration of the information processing device 100 according to the embodiment. As shown in Fig. 2, the information processing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.
[0043] (Regarding communication unit 110) The communication unit 110 is realized by, for example, a network interface card (NIC). The communication unit 110 is connected to a network N by wire or wirelessly. The information processing device 100 transmits and receives information to and from other devices such as a user device 10 and an advertiser device 20 via the network N.
[0044] (Regarding the storage unit 120) The storage unit 120 stores, for example, programs and data used for control and calculation by the control unit 130. For example, the storage unit 120 is realized by a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. For example, the storage unit 120 has an evaluation information DB 121, a model DB 122, and a survey result DB 123. Note that the storage unit 120 is not limited to the example shown in FIG. 2, and can store data necessary for executing the information processing according to the embodiment, such as information on a generation model that generates survey results, as appropriate.
[0045] (Evaluation information DB121) The evaluation information DB121 stores information indicating evaluation information for advertisements. For example, the evaluation information DB121 stores responses to a questionnaire administered to both browsing users who viewed an advertisement of an advertiser company (or a target brand) and non-browsing users who did not view the advertisement, as information indicating evaluation information for the advertisement. Fig. 3 is a diagram showing an overview of evaluation information stored in the evaluation information DB121 according to an embodiment.
[0046] 3, the information indicating the evaluation information stored in the evaluation information DB 121 has a plurality of items such as an "advertiser ID" item, an "evaluation information" item, etc. These items in the information indicating the evaluation information are mutually associated.
[0047] The "Advertiser ID" field stores identification information for identifying an advertiser. The "Evaluation Information" field stores information indicating evaluation information. For example, the information indicating evaluation information includes information on answers to questions set in a questionnaire survey.
[0048] (Model DB122) The model DB 122 stores information on the above-mentioned generation model. That is, the generation model receives first evaluation information on the target advertisement content, second evaluation information on the similar advertisement content, a survey result on the similar advertisement content, and instruction information (also called a "prompt") instructing generation of a survey result on the target advertisement content with reference to the second evaluation information and the survey result on the similar advertisement content, and outputs information indicating the survey result on the target advertisement content. A generative AI (Artificial Intelligence) can be used for the generation model. The generative AI includes, for example, a language model such as a transformer that is trained to estimate and output the next token from an input token string. The language model can employ a language model that performs natural language processing such as GPT (Generative Pre-trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers). The language model is stored inside the information processing device 100 and is created independently by the operator of the information processing device 100. It is preferable that the input information is trained so as not to be used as a new answer, thereby concealing information such as input personal information.
[0049] (Research Results DB123) The survey result DB123 is information created based on evaluation information including evaluation results of advertisement content by browsing users who viewed the advertisement content and evaluation results of advertisement content by non-browsing users who did not view the advertisement content, and stores information indicating survey results regarding effectiveness of advertisement content. Fig. 4 is a diagram showing an overview of survey results stored in the survey result DB123 according to the embodiment.
[0050] As shown in Figure 4, there are multiple items such as an "advertiser ID" item, an "industry type" item, an "advertising target" item, a "target" item, an "advertising ID" item, a "content" item, and an "investigation result" item. These items in the investigation result are mutually associated.
[0051] The "Advertiser ID" field stores identification information for identifying the advertiser. The "Industry" field stores information indicating the industry corresponding to the advertiser. The "Advertising Target" field stores information indicating the advertising target, such as products and services. The "Target" field stores information indicating the service users who are the targets to whom the advertisements will be delivered, such as age and gender. The "Advertising ID" field stores identification information for identifying the advertisement. The "Content" field stores information on the advertising content. The "Research Results" field stores information related to the survey results.
[0052] (Regarding the control unit 130) The control unit 130 is realized by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like executing various programs stored in a storage device inside the information processing device 100 using a RAM as a working area. The control unit 130 may also be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).
[0053] The control unit 130 shown in FIG. 2 has an acquisition unit 131, an identification unit 132, a generation unit 133, an output unit 134, and a provision unit 135, and each of these units realizes or executes the functions and actions of the information processing described below.
[0054] The control unit 130 may have an internal configuration divided into multiple processing units for implementing or executing the functions and actions of information processing described below. The control unit 130 is not limited to the configuration shown in Fig. 2, and may have other configurations as long as they perform information processing described below, and may have other functional units other than those shown in Fig. 2.
[0055] (Acquisition part 131) The acquisition unit 131 acquires evaluation information on advertisement contents provided by service users through a questionnaire survey. The acquisition unit 131 registers the acquired evaluation information in the evaluation information DB 121 in association with identification information for identifying the advertiser.
[0056] (Specific Section 132) The identifying unit 132 identifies, from among the search results stored in the storage unit 120, search results regarding similar advertising content that is similar to the target advertising content to be processed.
[0057] For example, the identifying unit 132 may identify a search result that is created based on second evaluation information similar to the first evaluation information for the target advertising content.
[0058] Also, for example, the identification unit 132 may identify a survey result created based on second evaluation information in which the configuration of browsing users and non-browsing users is similar to the configuration of browsing users and non-browsing users in the first evaluation information.
[0059] Also, for example, the identifying unit 132 may identify a survey result created based on second evaluation information in which the attributes of the browsing user and the attributes of the non-browsing user are similar to those of the first evaluation information.
[0060] (Generation unit 133) The generation unit 133 generates information indicating the investigation results for the target advertising content based on first evaluation information which is evaluation information for the target advertising content, second evaluation information which is evaluation information for similar advertising content, and the investigation results for the similar advertising content identified by the identification unit 132.
[0061] For example, the generation unit 133 may generate research results for the target advertising content by inputting the first evaluation information, the second evaluation information, research results for similar advertising content identified by the identification unit 132, and instruction information that instructs the generation of research results for the target advertising content by referring to the second evaluation information and the research results for the similar advertising content to a generation model that has been trained to generate answers to input questions.
[0062] (Output unit 134) In response to a request from an advertiser of advertising content, the output unit 134 outputs information indicating the survey results corresponding to the advertiser. For example, when the output unit 134 receives a request to acquire a survey result report from the advertiser via the communication unit 110, the output unit 134 acquires the survey results corresponding to the advertiser from the survey result DB 123. In addition, the output unit 134 outputs the acquired information indicating the survey results to a file.
[0063] (Provider 135) The providing unit 135 transmits the information indicating the survey results output to a file by the output unit 134 as a survey result report via the communication unit 110 to the advertiser device 20, thereby providing the information to the advertiser.
[0064] [4. Processing procedure according to the embodiment] (4-1. Information Processing Procedure (Part 1)) The information processing procedure executed by the information processing device 100 according to the embodiment will be described below. First, the information processing procedure (part 1) executed by the information processing device 100 according to the embodiment will be described with reference to Fig. 5. Fig. 5 is a flowchart showing an example of the information processing procedure (part 1) executed by the information processing device 100 according to the embodiment. The processing procedure shown in Fig. 5 is executed by the control unit 130 of the information processing device 100. The processing procedure shown in Fig. 5 is repeatedly executed while the information processing device 100 is operating.
[0065] As shown in FIG. 5, the identifying unit 132 identifies the results of a search for similar advertising content that is similar to the target advertising content to be processed (Step S101).
[0066] The generating unit 133 generates a search result for the target advertising content based on the evaluation information for the target advertising content, the evaluation information for the similar advertising content, and the search result for the similar advertising content identified in step S101 (step S102).
[0067] Furthermore, the generating unit 133 stores the generated information indicating the search results in the search result DB 123 in association with the advertiser of the target advertising content (step S103), and ends the processing procedure shown in FIG.
[0068] (4-2. Information Processing Procedure (Part 2)) Next, the information processing procedure (part 2) executed by the information processing device 100 according to the embodiment will be described with reference to Fig. 6. Fig. 6 is a flowchart showing an example of the information processing procedure (part 2) executed by the information processing device 100 according to the embodiment. The processing procedure shown in Fig. 6 is executed by the control unit 130 of the information processing device 100. The processing procedure shown in Fig. 6 is repeatedly executed while the information processing device 100 is in operation.
[0069] As shown in FIG. 6, when the output unit 134 receives a request for a survey result report from an advertiser (step S201), the output unit 134 obtains the survey results corresponding to the advertiser from the survey result DB 123, and outputs information indicating the obtained survey results to a file as a survey result report (step S202).
[0070] The providing unit 135 provides the search result report output to a file by the output unit 134 in step S202 to the advertiser (step S203), and the processing procedure shown in FIG. 6 ends.
[0071] [5. Modifications] The information processing device, the information processing method, and the information processing program according to the present application may be embodied in various different forms other than the above-described embodiment. Modifications of the above-described embodiment will be described below.
[0072] (5-1. Provision of survey results, including results across media where advertisements were distributed) In the above embodiment, the information processing device 100 may provide a survey result report including results between media that delivered the same advertisement. For example, the information processing device 100 acquires evaluation information for the target advertisement content on website W1 and evaluation information for the target advertisement content on website W2. Then, the information processing device 100 (for example, the generation unit 133) inputs instruction information such as "The evaluation information for the target advertisement content on website 1 is '...'. The evaluation information for the target advertisement content on website 2 is '...'. Based on the result of comparing these, please generate an analysis result for website W1." to the generation model, thereby providing a survey result report including results between media that delivered the same advertisement.
[0073] (5-2. Provision of survey results, including time series comparisons) In the above embodiment, the information processing device 100 may provide a survey result report including a comparison between the previous survey result and the current survey result for the advertisement of the same advertiser. For example, the information processing device 100 inputs, to the generation model, information indicating the appearance of the target advertisement, information indicating the target, and evaluation information for the target advertisement, information indicating the appearance of the past target advertisement, information indicating the target, and evaluation information for the past target advertisement, and instruction information such as "The information of the past target advertisement is '...' and the evaluation information is '...'. The information of the current advertisement is '...' and the evaluation information is '...'. Please generate a survey result for the current target advertisement based on the comparison result between the past target advertisement and the current target advertisement." In addition, the information processing device 100 may include an instruction content such as "Which is more effective?" or an instruction content such as "What kind of behavioral changes have occurred?" in the instruction information.
[0074] (5-3. Functional configuration of information processing device 100) In the above embodiment, an example has been described in which the information processing device 100 according to the embodiment has a function of distributing advertisements and a function of providing a survey result report on advertisement content. However, there is no need to be particularly limited to this example, and the information processing system SYS according to the embodiment may include a server device having a function of distributing advertisements and a server device having a function of providing a survey result report on advertisement content. That is, in the information processing system SYS according to the embodiment, the function of distributing advertisements and the function of providing a survey result report on advertisement content may be distributed in separate, physically different server devices.
[0075] [6. Effects] The information processing device 100 according to the embodiment includes a storage unit 120, a specification unit 132, a generation unit 133, and an output unit 134. The storage unit 120 (for example, a survey result DB 123) stores information that is created based on evaluation information including evaluation results of advertisement content by browsing users who viewed the advertisement content and evaluation results of advertisement content by non-browsing users who did not view the advertisement content, and indicates survey results regarding effectiveness of advertisement content. The specification unit 132 specifies survey results of similar advertisement content similar to a target advertisement content to be processed from the survey results stored in the storage unit 120. The generation unit 133 generates information indicating survey results of the target advertisement content based on first evaluation information that is evaluation information on the target advertisement content, second evaluation information that is evaluation information on the similar advertisement content, and survey results on the similar advertisement content specified by the specification unit 132. The output unit 134 outputs information indicating survey results corresponding to the advertiser in response to a request from the advertiser of the advertisement content.
[0076] Furthermore, the identifying unit 132 may identify a search result that is created based on second evaluation information similar to the first evaluation information for the target advertising content.
[0077] Furthermore, the identifying unit 132 may identify a survey result created based on second evaluation information in which the configuration of browsing users and non-browsing users is similar to the configuration of browsing users and non-browsing users in the first evaluation information.
[0078] Furthermore, the identifying unit 132 may identify a search result created based on second evaluation information in which the attributes of the browsing user and the attributes of the non-browsing user are similar to those of the first evaluation information.
[0079] In addition, the generation unit 133 may generate research results for the target advertising content by inputting the first evaluation information, the second evaluation information, research results for similar advertising content identified by the identification unit 132, and instruction information that instructs the generation of research results for the target advertising content by referring to the second evaluation information and the research results for the similar advertising content to a model that has been trained to generate answers to input questions.
[0080] In addition, the survey result corresponding to the target advertisement content generated by the generating unit 133 may include a summary of the evaluation information on the target advertisement content.
[0081] Furthermore, the survey results corresponding to the target advertising content generated by the generation unit 133 may include a proposal for a content delivery method based on the survey results.
[0082] Furthermore, the search results corresponding to the target advertising content generated by the generation unit 133 may include a suggestion for the content composition based on the search results.
[0083] For this reason, the information processing device 100 according to the embodiment can reduce the operational costs when providing information on the effectiveness of advertising content to users by the processes executed by the above-mentioned units or any combination of the processes executed by the units. That is, the information processing device 100 according to the embodiment can reduce the operational costs required for creating the research results by using a generative model to generate the research results for the target advertising content to be processed.
[0084] [7. Hardware configuration] Moreover, the information processing device 100 according to the above-described embodiment and each modified example is realized, for example, by a computer 1000 having a configuration as shown in Fig. 7. Fig. 7 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device 100 according to the embodiment and each modified example.
[0085] 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 primary storage device 1040, a secondary storage device 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 are connected via a bus 1090.
[0086] The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050 and programs read from the input device 1020, and executes various processes. The primary storage device 1040 is a memory device, such as a RAM, that temporarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used by the arithmetic device 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), HDD, flash memory, etc.
[0087] The output IF 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various types of information, such as a monitor or a printer, and is realized by a connector conforming to a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (High Definition Multimedia Interface), a registered trademark. The input IF 1070 is an interface for receiving information from various input devices 1020, such as a mouse, keyboard, and scanner, and is realized by a USB, for example.
[0088] The input device 1020 may be a device that reads information from, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. The input device 1020 may also be an external storage medium such as a USB memory.
[0089] The network IF 1080 receives data from other devices via the network N and sends it to the arithmetic device 1030, and also transmits data generated by the arithmetic device 1030 to other devices via the network N.
[0090] 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 the secondary storage device 1050 onto the primary storage device 1040 and executes the loaded program.
[0091] For example, when the computer 1000 functions as the information processing device 100 according to the embodiment, the arithmetic device 1030 of the computer 1000 executes a program (e.g., an information processing program) loaded onto the primary storage device 1040, thereby realizing a function similar to that of the control unit 130. That is, the arithmetic device 1030 cooperates with the program (e.g., an information processing program) loaded onto the primary storage device 1040 to realize the processing by the information processing device 100 according to the embodiment.
[0092] [8.Other] Of the processes described in the above embodiments, 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 a known method. In addition, the information including the process procedures, specific names, various data and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified.
[0093] In addition, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit according to various loads, usage conditions, etc.
[0094] Furthermore, the above-described embodiments can be appropriately combined as long as the processing contents are not contradictory.
[0095] The above describes the embodiments of the present application in detail with reference to several drawings. However, these are merely examples, and the present invention can be embodied in other forms that incorporate various modifications and improvements based on the knowledge of those skilled in the art, including the aspects described in the Disclosure of the Invention section.
[0096] Moreover, the above-mentioned "section, module, unit" can be read as "means" or "circuit", etc. For example, a control section can be read as control means or a control circuit. [Explanation of symbols]
[0097] N Network 10 User Device 20 Advertiser Equipment 100 Information processing device 110 Communications Department 120 Storage section 121 Evaluation Information DB 122 Model DB 123 Survey Results DB 130 Control section 131 Acquisition Department 132 Specific part 133 Generation part 134 Output section 135 Provision Department
Claims
1. a storage unit that stores information that is created based on evaluation information including evaluation results of the advertising content by browsing users who viewed the advertising content and evaluation results of the advertising content by non-browsing users who did not view the advertising content, and that indicates survey results regarding effectiveness of the advertising content; a specifying unit that specifies, from the search results stored in the storage unit, the search results regarding similar advertisement content that is similar to the target advertisement content to be processed; a generating unit that generates information indicating the investigation result for the target advertisement content based on first evaluation information which is the evaluation information for the target advertisement content, second evaluation information which is the evaluation information for the similar advertisement content, and the investigation result for the similar advertisement content identified by the identifying unit; an output unit that outputs information indicating the search results corresponding to an advertiser in response to a request from the advertiser of the advertisement content; 13. An information processing device comprising:
2. The identification unit is Identifying the search result created based on the second evaluation information similar to the first evaluation information for the target advertising content 2. The information processing apparatus according to claim 1,
3. The identification unit is Identifying the search result created based on the second evaluation information in which the configuration of the browsing user and the non-browsing user is similar to the configuration of the browsing user and the non-browsing user in the first evaluation information.
3. The information processing apparatus according to claim 2.
4. The identification unit is Identifying the survey result created based on the second evaluation information in which the attributes of the browsing user and the attributes of the non-browsing user are similar to the first evaluation information 3. The information processing apparatus according to claim 2.
5. The generation unit is The first evaluation information, the second evaluation information, the search results for the similar advertisement content identified by the identification unit, and instruction information for instructing generation of the search results for the target advertisement content by referring to the second evaluation information and the search results for the similar advertisement content, are input to a model trained to generate an answer to an input question, thereby generating the search results for the target advertisement content.
3. The information processing apparatus according to claim 2.
6. The survey result corresponding to the target advertisement content generated by the generating unit includes a summary of evaluation information for the target advertisement content.
6. The information processing apparatus according to claim 5,
7. The search results corresponding to the target advertisement content generated by the generation unit include a proposal for a content distribution method based on the search results.
6. The information processing apparatus according to claim 5,
8. The search results corresponding to the target advertising content generated by the generation unit include a proposal for a content configuration based on the search results.
6. The information processing apparatus according to claim 5,
9. 1. A computer-implemented information processing method, comprising: a specifying step of specifying the survey results of similar advertisement content similar to the target advertisement content to be processed from the survey results stored in a storage unit that stores information indicating survey results on effectiveness of the advertisement content, the survey results being information created based on evaluation information including evaluation results of the advertisement content by browsing users who viewed the advertisement content and evaluation results of the advertisement content by non-browsing users who did not view the advertisement content; a generating step of generating information indicating the investigation result for the target advertisement content based on first evaluation information which is the evaluation information for the target advertisement content, second evaluation information which is the evaluation information for the similar advertisement content, and the investigation result for the similar advertisement content identified by the identifying step; an output step of outputting information indicating the search results corresponding to the advertiser in response to a request from the advertiser of the advertisement content; 13. An information processing method comprising:
10. On the computer, a step of identifying the survey results of similar advertisement content similar to a target advertisement content to be processed from survey results stored in a storage unit that stores information indicating survey results on effectiveness of the advertisement content, the survey results being information created based on evaluation information including evaluation results of the advertisement content by browsing users who viewed the advertisement content and evaluation results of the advertisement content by non-browsing users who did not view the advertisement content; a generating step of generating information indicating the investigation result regarding the target advertisement content based on first evaluation information which is the evaluation information regarding the target advertisement content, second evaluation information which is the evaluation information regarding the similar advertisement content, and the investigation result regarding the similar advertisement content identified by the identifying step; an output step of outputting information indicating the search result corresponding to the advertiser in response to a request from the advertiser of the advertisement content; An information processing program characterized by causing the program to execute the above steps.
Citation Information
Patent Citations
Information processing device, information processing method, and effect estimation system
JP2022040432A