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

Abstract

To provide an information processing device, an information processing method, and an information processing program which issue a warning of an incident more appropriately than before when an advertisement distribution is set.SOLUTION: An information processing device includes: a reception section for receiving an input of advertisement distribution information on an advertisement distribution; an extraction section for extracting incident information on such a similar advertisement that the advertisement distribution information is similar, as an advertisement causing a predetermined incident in the past, when the advertisement distribution information on the advertisement distribution has been input; a generation section for generating a warning content relative to the input advertisement distribution information on the basis of the extracted incident information; and a provision section for providing the generated warning content.SELECTED DRAWING: Figure 2

Description

[Technical field]

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

[0002] Conventionally, a technique for automatically monitoring and verifying Internet-based advertisements has been disclosed (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Special Publication No. 2011-525674 Summary of the Invention [Problem to be solved by the invention]

[0004] However, there is room for improvement in the above conventional technology. For example, in the above conventional technology, a mapping crawler searches for pages with a high probability of an incident and generates a list. A crawler manager allocates pages among multiple visual crawlers that are allowed to access the list of pages so as to obtain a sufficient coverage of the required incidents, and loads the pages onto the visual crawlers. An automatic computer program (incident identifier) ​​compares the ad insertion order with the delivery data, and generates an incident report whenever the ad insertion order and the delivery data corresponding to the ad insertion order do not match. However, there is room for improvement in warning of incidents at the time of ad delivery setting (ad registration). Therefore, there is a need for a means for more appropriately warning of incidents at the time of ad delivery setting.

[0005] The present application has been made in consideration of the above, and aims to more appropriately warn of incidents when setting up advertisement distribution. [Means for solving the problem]

[0006] The information processing device of the present application is characterized by comprising a reception unit that receives input of advertising delivery information related to advertising delivery, an extraction unit that, when advertising delivery information related to advertising delivery is input, extracts incident information of a similar advertisement that has caused a specified incident in the past and has similar advertising delivery information, a generation unit that generates warning content for the input advertising delivery information based on the extracted incident information, and a provision unit that provides the generated warning content. Effect of the Invention

[0007] According to one aspect of the embodiment, it is possible to more appropriately warn of incidents during advertisement distribution setting. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 is an explanatory diagram showing an overview of an information processing system according to an embodiment. [Diagram 2] FIG. 2 is a diagram showing an example of an advertisement distribution management screen. [Diagram 3] FIG. 3 is a diagram illustrating an example of the configuration of a terminal device according to the embodiment. [Figure 4] FIG. 4 is a diagram illustrating an example of the configuration of a server device according to the embodiment. [Diagram 5] FIG. 5 is a flowchart showing a processing procedure according to the embodiment. [Figure 6] FIG. 6 is a diagram illustrating an example of a hardware configuration. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, the information processing device, the information processing method, and the information processing program according to the present application will be described in detail with reference to the drawings. Note that the information processing device, the information processing method, and the information processing program according to the present application are not limited to the embodiments. In addition, the same components in the following embodiments are denoted by the same reference numerals, and duplicated descriptions are omitted.

[0010] [1. Overview of the information processing system] First, an overview of an information processing system according to an embodiment will be described with reference to Fig. 1. Fig. 1 is an explanatory diagram showing an overview of an information processing system according to an embodiment. As shown in Fig. 1, an information processing system 1 according to an embodiment includes a terminal device 10 and a server device 100. These various devices are connected to each other via a network N in a wired or wireless manner so as to be able to communicate with each other. This allows the terminal device 10 to cooperate with the server device 100. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.

[0011] The terminal device 10 is an information processing device used by a user U. For example, the terminal device 10 is a smart device such as a smartphone or a tablet terminal, a mobile phone such as a feature phone, a personal computer (PC), a personal digital assistant (PDA), a game machine or AV device equipped with a communication function, an information appliance or digital appliance, a car navigation system, a smart watch or a head-mounted display, a wearable device such as smart glasses, etc. The terminal device 10 may also be a house or building, a car, a home appliance, an electronic device, etc. that supports the Internet of Things (IOT).

[0012] In this embodiment, the terminal device 10 is a smart device such as a smartphone or tablet terminal used by a user U, and is a mobile terminal device that can communicate with any server device via a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), or 5G (5th Generation: 5th generation mobile communication system). The terminal device 10 has a screen such as a liquid crystal display having a touch panel function, and accepts various operations on display data such as content, such as tapping, sliding, and scrolling, performed by a finger or a stylus from the user U. An operation performed on an area of ​​the screen where the content is displayed may be regarded as an operation on the content. The terminal device 10 may be not only a smart device, but also an information processing device such as a desktop PC (Personal Computer) or a notebook PC.

[0013] In addition, the terminal device 10 can connect to the network N via a wireless communication network such as LTE, 4G, or 5G, or short-range wireless communication such as Bluetooth (registered trademark) or wireless LAN (Local Area Network), and communicate with the server device 100.

[0014] The server device 100 is, for example, a computer such as a PC or a blade server, or a mainframe or a workstation, etc. The server device 100 may be realized by cloud computing.

[0015] In this embodiment, the server device 100 is an information processing device that cooperates with the terminal device 10 of each user U and provides API (Application Programming Interface) services for various applications (hereinafter, apps), etc., as well as various data, to the terminal device 10 of each user U, and is realized by a computer, a cloud system, etc.

[0016] The server device 100 may also be an information processing device that provides some kind of online Web service to the terminal device 10 of each user U. For example, the server device 100 may provide services such as Internet connection, search service, SNS (Social Networking Service), electronic commerce (EC), electronic payment, online games, online banking, online trading, hotel and ticket reservations, video and music distribution, news, maps, route search, route guidance, line information, operation information, and weather forecasts as Web services. In practice, the server device 100 may cooperate with various servers that provide the above-mentioned Web services, and may mediate the Web services or be responsible for processing the Web services.

[0017] The server device 100 can acquire user information about the user U. For example, the server device 100 acquires information about the attributes of the user U, such as the gender, age, and residential area of ​​the user U. The server device 100 then stores and manages the information about the attributes of the user U together with identification information (such as a user ID) indicating the user U.

[0018] The server device 100 also acquires various types of history information (log data) indicating the actions of the user U from the terminal device 10 of the user U or from various servers based on the user ID or the like. For example, the server device 100 acquires a location history, which is a history of the location and date and time of the user U, from the terminal device 10. The server device 100 also acquires a search history, which is a history of search queries input by the user U, from a search server (search engine). The server device 100 also acquires a browsing history, which is a history of content browsed by the user U, from a content server. The server device 100 also acquires a purchase history (payment history), which is a history of product purchases and payment processing by the user U, from an electronic commerce server or a payment processing server. The server device 100 may also acquire a listing history, which is a history of listings on the marketplace by the user U, and a sales history, from the electronic commerce server or the payment processing server. The server device 100 also acquires a posting history, which is a history of posts by the user U, from a posting server that provides a word-of-mouth posting service or an SNS server. The above-mentioned various servers and the like may be the server device 100 itself. That is, the server device 100 may function as the above-mentioned various servers and the like.

[0019] Furthermore, the number of devices included in the information processing system 1 shown in Fig. 1 is not limited to that shown in the figure. For example, in Fig. 1, for the sake of simplicity, only one terminal device 10 is shown, but this is merely an example and is not limiting, and two or more devices may be included.

[0020] 2. Discovery and analysis of advertising delivery problems, etc. Traditionally, when someone discovered an incident in ad delivery, such as a malfunction or a situation with a high probability of occurrence, they would create an incident channel on a message board to share the information within the company.

[0021] In this embodiment, a mechanism for mutual feedback between the ad delivery trouble response task and the ad delivery operation task is realized by using GPT (Generative Pre-trained Trainsformer). GPT is a text generation AI (Artificial Intelligence) and is a language model capable of generating sentences using natural language processing.

[0022] [2-1. GPT analysis of delivery problems] When a delivery trouble occurs, a person working in the ad delivery operation business or in the delivery trouble response business provides an overview and a delivery setting identifier to GPT. Based on the delivery setting data and the accumulated incident system cases, GPT predicts the cause of the accident and suggests related events that require attention. Here, it is assumed that user U is a person working in the ad delivery operation business or in the delivery trouble response business. It is also assumed that GPT operates on the server device 100.

[0023] For example, as shown in FIG. 1, a server device 100 running GPT accepts a posting of incident information from a terminal device 10 of a user U engaged in advertising distribution management work or distribution trouble response work via a network N (step S1).

[0024] Next, when incident information is posted from the terminal device 10 of the user U, the server device 100 extracts incident response information (past knowledge) posted for past similar incident information (step S2). Note that the incident response information indicates, for example, information on a solution (measure) for the accident indicated by the incident information.

[0025] Next, the server device 100 generates incident response information corresponding to the incident information based on the posted incident information and the extracted incident response information (step S3).

[0026] For example, the server device 100 inputs the posted incident information (current incident information), extracted incident response information (past incident response information), and an instruction sentence (prompt) that instructs the server device 100 to generate incident response information corresponding to the posted incident information based on the incident response information into a language model (GPT) that has been trained to generate sentences that are answers to input questions, and generates incident response information.

[0027] Typically, even if past information, i.e., extracted incident response information, is input into the GPT, it is only possible to generate incident response information about past incidents.

[0028] In this embodiment, for GPT, (a) Information about this incident (b) Past incident response information (c) Instructions such as "The incident that occurred this time is (a). Response information for similar incidents that occurred in the past is (b). Please use this information to generate response information for the incident that occurred this time." By entering these three pieces of information, you can generate "incident response information for the current incident."

[0029] Next, the server device 100 outputs the generated incident response information in a format (mode) corresponding to the posted incident information (step S4). That is, the server device 100 provides the incident response information in a format corresponding to the posted incident information via the network N to the terminal device 10 of the user U who is engaged in an advertisement distribution operation business or a distribution trouble response business.

[0030] As a way to achieve this, for example, for GPT, in addition to (a) to (c) above (or as part of (c)), (d) "Please generate the response information in a format that conforms to the response information of similar incidents that have occurred in the past." This may be achieved by inputting an instruction sentence such as:

[0031] At this time, the server device 100 outputs the information in a format according to the content and type of the incident that occurred. For example, the items of the incident response information to be displayed change depending on whether the incident is an "email"-related accident or an "advertisement display"-related accident.

[0032] In addition, the incident response information may be output in the form of text with content appropriate to the level (knowledge, technical ability, understanding) and context (background, situation) of the user U who posted the incident information.

[0033] Ad delivery incidents are often technical in nature. It is also quite difficult to translate technical topics into business-related text. That is why it makes sense to have GPT generate text.

[0034] When the server device 100 determines that the poster of the incident information (user U) is a person on the technical side (engineer, etc.), it causes the GPT to generate text with technical content. When the server device 100 determines that the poster of the incident information (user U) is a person who is not very knowledgeable about technology (advertiser, sales representative, etc.), it causes the GPT to generate text for explaining to customers on the business side. These texts may be generated together. In addition, the server device 100 causes the GPT to generate text for external explanations that do not use internal proper nouns. In other words, the server device 100 causes the GPT to generate text according to the use and purpose, such as internal use, external use, technical, and business.

[0035] Items in the document include what to do (next action to take, guide), the scope of damage caused by the accident (affected domain, system), and losses caused by the accident (profits that would have been obtained if the accident had not occurred, work costs), etc.

[0036] At this time, the server device 100 may cause the GPT to generate an item name. Also, the server device 100 causes the GPT to generate and output a sentence by inputting a sentence of a similar event that occurred in the past into a prompt. For example, when the server device 100 causes the GPT to generate an item, the server device 100 causes the GPT to generate and output information of a similar event that occurred in the past as an item.

[0037] In addition, the server device 100 may tag the text generated by the GPT and post it to a business messaging app (business chat tool) such as Slack (registered trademark). For example, the server device 100 automatically generates and posts the contents of an incident report.

[0038] Furthermore, the server device 100 causes a GPT such as a GPT to automatically generate and output predicted items of the cause of the accident the moment incident information is registered.

[0039] [2-2. Warning display on the ad delivery management screen] As shown in FIG. 2, the server device 100 navigates the management screen settings by GPT for the terminal device 10 of a user U engaged in advertisement distribution operation work via a network N. FIG. 2 is a diagram showing an example of an advertisement distribution management screen. For example, the server device 100 sets an advertisement submission prompt according to the purpose in advance. In addition, the server device 100 navigates the validity of the settings in real time when the management screen is operated. In addition, the server device 100 suggests the possibility of an accident by cooperating with an incident system.

[0040] For example, as shown in FIG. 2, a server device 100 running GPT accepts, similar to step S1 in FIG. 1, postings of incident information from a terminal device 10 of a user U engaged in advertising distribution operations or distribution trouble response work via a network N, and accumulates and manages the posted incident information (step S11).

[0041] The server device 100 also accepts, via the network N, advertisement distribution information related to advertisement distribution input to the advertisement distribution management screen from the terminal device 10 of the user U engaged in advertisement distribution operation work (step S12).

[0042] Next, when advertising delivery information regarding advertising delivery is input from the terminal device 10 of the user U, the server device 100 extracts incident information of similar advertisements that have caused a specified incident in the past and have similar advertising delivery information (step S13).

[0043] Next, the server device 100 generates warning content for the input advertisement distribution information based on the extracted incident information (step S14).

[0044] For example, the server device 100 inputs the extracted incident information and an instruction sentence (prompt) that instructs a language model (GPT) that has been trained to generate a sentence that is an answer to an input question to generate warning content for the input advertising delivery information based on the incident information, and generates the warning content.

[0045] Next, the server device 100 provides the generated warning content to the terminal device 10 of the user U who is engaged in the advertisement distribution operation business via the network N (step S15).

[0046] The server device 100 may provide the warning content in a form (mode) such as a speech bubble or a pop-up on an advertisement distribution management screen, for example.

[0047] Furthermore, the server device 100 may automatically generate the contents of an incident report as warning content when an advertisement is registered, and post the generated content to a business messaging application (business chat tool).

[0048] As a result, a user U engaged in advertisement distribution operations can refer to the warning content and make corrections to advertisement distribution information or decisions regarding advertisement distribution.

[0049] In this embodiment, the server device 100 displays incident information at the time of advertisement registration on the terminal device 10 of a user U engaged in advertisement distribution operation work via the network N. For example, the server device 100 displays incident information such as "There have been cases of accidents like this in the past. Are you OK?" at the time of advertisement registration.

[0050] In addition, the server device 100 may acquire incident information in a conversational (dialogue) format between a user U engaged in advertising distribution operations and a GPT such as GPT by inserting a text box into a speech bubble on the advertising distribution management screen.

[0051] For example, the server device 100 may acquire incident information in the form of a question and answer session between the user U and the GPT on the advertisement distribution management screen by inserting a text box for user input into a speech bubble that displays a sentence output by the GPT. The questioner and the answerer may be either the user U or the GPT. In other words, the roles of the questioner and the answerer may be interchangeable. For example, the user U may directly input incident information in response to a question from the GPT, or the GPT may output appropriate incident information based on the sentence input by the user U.

[0052] At this time, the server device 100 may cause the GPT to display the causes of past incidents. The server device 100 may also cause the GPT to estimate the probability of an accident occurring "if this setting is made" through a dialogue between the user U and the GPT. This allows the user U engaged in the advertisement distribution operation business to make distribution settings taking into account the amount of damage and summary of past damages, etc.

[0053] [3. Example of terminal device configuration] Next, the configuration of the terminal device 10 will be described with reference to Fig. 3. Fig. 3 is a diagram showing an example of the configuration of the terminal device 10. As shown in Fig. 3, the terminal device 10 includes a communication unit 11, a display unit 12, an input unit 13, a positioning unit 14, a sensor unit 20, a control unit 30 (controller), and a storage unit 40.

[0054] (Communications Department 11) The communication unit 11 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the server device 100 via the network N. For example, the communication unit 11 is realized by a NIC (Network Interface Card), an antenna, or the like.

[0055] (Display section 12) The display unit 12 is a display device that displays various information such as position information. For example, the display unit 12 is a liquid crystal display (LCD) or an organic electro-luminescent display (OLED). The display unit 12 is a touch panel display, but is not limited to this.

[0056] (Input section 13) The input unit 13 is an input device that accepts various operations from the user U. For example, the input unit 13 has buttons for inputting characters, numbers, and the like. The input unit 13 may be an input / output port (I / O port), a USB (Universal Serial Bus) port, or the like. In addition, when the display unit 12 is a touch panel display, a part of the display unit 12 functions as the input unit 13. In addition, the input unit 13 may be a microphone that accepts voice input from the user U, or the like. The microphone may be wireless.

[0057] (Positioning unit 14) The positioning unit 14 receives a signal (radio wave) transmitted from a satellite of a GPS (Global Positioning System), and acquires position information (e.g., latitude and longitude) indicating the current position of the terminal device 10, which is the device itself, based on the received signal. That is, the positioning unit 14 measures the position of the terminal device 10. Note that the GPS is merely an example of a GNSS (Global Navigation Satellite System).

[0058] The positioning unit 14 can measure the position by various methods other than GPS. For example, the positioning unit 14 may measure the position by using various communication functions of the terminal device 10 as described below as an auxiliary positioning means for position correction or the like.

[0059] (Wi-Fi positioning) For example, the positioning unit 14 uses a Wi-Fi (registered trademark) communication function of the terminal device 10 or a communication network provided by each communication company to measure the position of the terminal device 10. Specifically, the positioning unit 14 performs Wi-Fi communication or the like and measures the distance to a nearby base station or access point to measure the position of the terminal device 10.

[0060] (Beacon positioning) The positioning unit 14 may measure the position by using a Bluetooth (registered trademark) function of the terminal device 10. For example, the positioning unit 14 measures the position of the terminal device 10 by connecting to a beacon transmitter connected by the Bluetooth (registered trademark) function.

[0061] (geomagnetic positioning) The positioning unit 14 also measures the position of the terminal device 10 based on a geomagnetic pattern of a structure measured in advance and a geomagnetic sensor included in the terminal device 10.

[0062] (RFID positioning) Furthermore, for example, if the terminal device 10 has a function of an RFID (Radio Frequency Identification) tag equivalent to a contactless IC card used at station ticket gates, stores, etc., or has a function of reading an RFID tag, the location of use is recorded together with information on a payment or the like made by the terminal device 10. The positioning unit 14 may obtain such information to measure the location of the terminal device 10. Furthermore, the location may be measured by an optical sensor, an infrared sensor, or the like provided in the terminal device 10.

[0063] The positioning unit 14 may, if necessary, measure the position of the terminal device 10 using one or a combination of the above-mentioned positioning means.

[0064] (Sensor unit 20) The sensor unit 20 includes various sensors mounted on or connected to the terminal device 10. The connection may be wired or wireless. For example, the sensors may be detection devices other than the terminal device 10, such as wearable devices and wireless devices. In the example shown in FIG. 3, the sensor unit 20 includes an acceleration sensor 21, a gyro sensor 22, an air pressure sensor 23, a temperature sensor 24, a sound sensor 25, a light sensor 26, a magnetic sensor 27, and an image sensor (camera) 28.

[0065] The above-mentioned sensors 21 to 28 are merely examples and are not intended to be limiting. That is, the sensor unit 20 may be configured to include some of the sensors 21 to 28, or may include other sensors such as a humidity sensor in addition to or instead of the sensors 21 to 28.

[0066] The acceleration sensor 21 is, for example, a three-axis acceleration sensor, and detects physical movements of the terminal device 10, such as the moving direction, speed, and acceleration of the terminal device 10. The gyro sensor 22 detects physical movements of the terminal device 10, such as tilts in three axial directions, based on the angular velocity, etc. of the terminal device 10. The air pressure sensor 23 detects, for example, the air pressure around the terminal device 10.

[0067] Since the terminal device 10 includes the above-mentioned acceleration sensor 21, gyro sensor 22, and air pressure sensor 23, it is possible to measure the position of the terminal device 10 using a technique such as Pedestrian Dead-Reckoning (PDR) that uses these sensors 21 to 23. This makes it possible to obtain indoor position information that is difficult to obtain using a positioning system such as GPS.

[0068] For example, the number of steps, walking speed, and distance walked can be calculated by a pedometer using the acceleration sensor 21. In addition, the moving direction, line of sight direction, and body inclination of the user U can be known by using the gyro sensor 22. In addition, the altitude and floor number on which the terminal device 10 of the user U is located can be known from the air pressure detected by the air pressure sensor 23.

[0069] The air temperature sensor 24 detects, for example, the air temperature around the terminal device 10. The sound sensor 25 detects, for example, the sound around the terminal device 10. The light sensor 26 detects the illuminance around the terminal device 10. The magnetic sensor 27 detects, for example, the geomagnetism around the terminal device 10. The image sensor 28 captures an image around the terminal device 10.

[0070] The above-mentioned air pressure sensor 23, temperature sensor 24, sound sensor 25, light sensor 26, and image sensor 28 can detect the air pressure, temperature, sound, and illuminance, and capture images of the surroundings, thereby detecting the environment and situation around the terminal device 10. In addition, the accuracy of the location information of the terminal device 10 can be improved based on the environment and situation around the terminal device 10.

[0071] (Control unit 30) The control unit 30 includes, for example, a microcomputer having a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM, an input / output port, and various other circuits. The control unit 30 may also be configured with hardware such as an integrated circuit, for example, an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit 30 includes a transmitting unit 31, a receiving unit 32, and a processing unit 33.

[0072] (Transmitter 31) The transmission unit 31 can transmit, for example, various information input by the user U using the input unit 13, various information detected by each sensor 21-28 mounted on or connected to the terminal device 10, and location information of the terminal device 10 measured by the positioning unit 14 to the server device 100 via the communication unit 11.

[0073] (Receiving unit 32) The receiving unit 32 can receive various types of information provided by the server device 100 and requests for various types of information from the server device 100 via the communication unit 11.

[0074] (Processing section 33) The processing unit 33 controls the entire terminal device 10, including the display unit 12, etc. For example, the processing unit 33 can output various information transmitted by the transmission unit 31 and various information received from the server device 100 by the reception unit 32 to the display unit 12 for display.

[0075] (Storage unit 40) The storage unit 40 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk drive (HDD), a solid state drive (SSD), an optical disk, etc. Various programs and various data are stored in the storage unit 40.

[0076] [4. Example of Server Device Configuration] Next, the configuration of the server device 100 according to the embodiment will be described with reference to Fig. 4. Fig. 4 is a diagram showing an example of the configuration of the server device 100 according to the embodiment. As shown in Fig. 4, the server device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

[0077] (Communication unit 110) The communication unit 110 is realized by, for example, a network interface card (NIC), etc. The communication unit 110 is also connected to a network N in a wired or wireless manner.

[0078] (Storage unit 120) The storage unit 120 is realized by, for example, a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a HDD, an SSD, an optical disk, etc. The storage unit 120 may store attribute information and history information (log data) of the user U together with identification information (such as a user ID) indicating the user U.

[0079] (Control unit 130) The control unit 130 is a controller, and is realized by, for example, a central processing unit (CPU), a micro processing unit (MPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), etc., executing various programs (corresponding to an example of an information processing program) stored in a storage device inside the server device 100 using a storage area such as a RAM as a working area. In the example shown in FIG. 4, the control unit 130 has an acquisition unit 131, a reception unit 132, an extraction unit 133, a generation unit 134, and a provision unit 135.

[0080] (Acquisition part 131) The acquisition unit 131 acquires a search query input by a user U (user). For example, when the user U inputs a search query into a search engine or the like to perform a keyword search, the acquisition unit 131 acquires the search query via the communication unit 110. That is, the acquisition unit 131 acquires, via the communication unit 110, a keyword input by the user U into a search box of a search engine, a site, or an app.

[0081] Furthermore, the acquisition unit 131 acquires user information regarding the user U via the communication unit 110. For example, the acquisition unit 131 acquires identification information (such as a user ID) indicating the user U, location information of the user U, attribute information of the user U, and the like from the terminal device 10 of the user U. Furthermore, the acquisition unit 131 may acquire the identification information indicating the user U, attribute information of the user U, and the like when the user U is registered. Then, the acquisition unit 131 stores the user information in the storage unit 120.

[0082] Furthermore, the acquisition unit 131 acquires various types of history information (log data) indicating the behavior of the user U via the communication unit 110. For example, the acquisition unit 131 acquires various types of history information indicating the behavior of the user U from the terminal device 10 of the user U, or from various servers based on a user ID or the like. Then, the acquisition unit 131 stores the various types of history information in the storage unit 120.

[0083] (Reception department 132) The reception unit 132 accepts the posting of incident information related to advertisement delivery. The reception unit 132 also accepts the input of advertisement delivery information related to advertisement delivery. For example, the reception unit 132 accepts the input of advertisement delivery information related to advertisement delivery on an advertisement delivery management screen. The reception unit 132 also accepts the posting of incident information related to advertisement delivery. The reception unit 132 also acquires incident information in a conversational format between the user and the GPT by entering a text box in a speech bubble on the advertisement delivery management screen. The reception unit 132 also sets an advertisement submission prompt according to the purpose in advance. The reception unit 132 may be the same device as the acquisition unit 131 described above.

[0084] (Extraction part 133) When incident information is posted, the extraction unit 133 extracts incident response information posted for past similar incident information. The extraction unit 133 may be the same device as the acquisition unit 131 described above.

[0085] Furthermore, when advertisement delivery information related to advertisement delivery is input, the extraction unit 133 extracts incident information of a similar advertisement that has caused a predetermined incident in the past and has similar advertisement delivery information. Furthermore, when advertisement delivery information related to advertisement delivery is input, the extraction unit 133 extracts incident information of a similar advertisement that has similar advertisement delivery information from the incident information posted in the past.

[0086] (Generation unit 134) The generation unit 134 generates incident response information corresponding to the incident information based on the extracted incident response information and the posted incident information.

[0087] For example, the generation unit 134 inputs the posted incident information, the extracted incident response information, and an instruction sentence that instructs a model that has been trained to generate a sentence that is an answer to an input question to generate incident response information that corresponds to the posted incident information based on the incident response information, and generates the incident response information.

[0088] In addition, the generation unit 134 automatically generates predicted items for the cause of the accident the moment the incident information is registered. In addition, the generation unit 134 inputs text about similar events in the past into a prompt and causes the GPT to generate text. In addition, when the generation unit 134 causes the GPT to generate items, the generation unit 134 also generates information about similar events that have occurred in the past as items.

[0089] Furthermore, the generation unit 134 generates warning content for the input advertisement distribution information, based on the extracted incident information.

[0090] For example, the generation unit 134 inputs the extracted incident information and an instruction sentence that instructs a model that has been trained to generate a sentence that is an answer to an input question to generate warning content for the input advertising delivery information based on the incident information, and generates the warning content.

[0091] In addition, the generation unit 134 generates warning content for the input advertisement distribution information based on the extracted incident information by the GPT.

[0092] (Provider 135) The providing unit 135 provides the generated incident response information in a format corresponding to the posted incident information. The providing unit 135 may be an output unit that outputs the incident response information.

[0093] At this time, the providing unit 135 provides incident response information of technical content for incident information of technical content, and provides incident response information of the business side for incident information of the business side.

[0094] In addition, the providing unit 135 predicts the cause of an accident and suggests related events that require attention, based on the distribution setting data and accumulated cases of the incident system.

[0095] Furthermore, the providing unit 135 provides the generated warning content. At this time, the providing unit 135 may provide the warning content in the form of a speech bubble or a pop-up on the advertisement distribution management screen. The providing unit 135 may be an output unit that outputs the warning content.

[0096] The providing unit 135 provides warning content on the advertisement delivery management screen to navigate the management screen settings by GPT. Also, when the advertisement delivery management screen is operated, the providing unit 135 navigates the validity of the settings in real time. Also, the providing unit 135 suggests the possibility of an accident by cooperating with an incident system.

[0097] 5. Processing Procedure Next, a processing procedure by the server device 100 according to the embodiment will be described with reference to Fig. 5. Fig. 5 is a flowchart showing the processing procedure according to the embodiment. Note that the processing procedure shown below is repeatedly executed by the control unit 130 of the server device 100.

[0098] For example, as shown in FIG. 5, the receiving unit 132 of the server device 100 receives, via the communication unit 110, a posting of incident information from a terminal device 10 of a user U engaged in advertising distribution management work or distribution trouble response work (step S101).

[0099] Next, when incident information is posted from the terminal device 10 of the user U, the extraction unit 133 of the server device 100 extracts incident response information (past knowledge) posted for past similar incident information (step S102).

[0100] Next, the generation unit 134 of the server device 100 inputs the posted incident information (current incident information), the extracted incident response information (past incident response information), and an instruction sentence (prompt) that instructs the server device 100 to generate incident response information corresponding to the posted incident information based on the incident response information into a language model (GPT) that has been trained to generate sentences that are answers to input questions, and generates incident response information (step S103).

[0101] Next, the providing unit 135 of the server device 100 outputs the generated incident response information in a format (mode) corresponding to the posted incident information (step S104).

[0102] In addition, the reception unit 132 of the server device 100 receives, via the communication unit 110, advertisement delivery information related to advertisement delivery input to the advertisement delivery management screen from the terminal device 10 of the user U engaged in advertisement delivery operation work (step S105).

[0103] Next, when advertising delivery information regarding advertising delivery is input from the terminal device 10 of the user U, the extraction unit 133 of the server device 100 extracts incident information of similar advertisements that have caused a specified incident in the past and have similar advertising delivery information (step S106).

[0104] Next, the generation unit 134 of the server device 100 inputs the extracted incident information and an instruction sentence (prompt) that instructs the language model (GPT) trained to generate sentences that are answers to the input question to generate warning content for the input advertising delivery information based on the incident information, and generates warning content for the input advertising delivery information (step S107).

[0105] Next, the providing unit 135 of the server device 100 provides the generated warning content to the terminal device 10 of the user U who is engaged in the advertisement distribution operation business via the communication unit 110 (step S108).

[0106] 6. Modifications The above-described terminal device 10 and server device 100 may be implemented in various different forms other than the above-described embodiment. Therefore, the following describes modifications of the embodiment.

[0107] In the above embodiment, some or all of the processing executed by the server device 100 may actually be executed by the terminal device 10 (or an application running on the terminal). For example, the processing may be completed in a stand-alone manner (by the terminal device 10 alone). In this case, the terminal device 10 is assumed to have the functions of the server device 100 in the above embodiment. Also, in the above embodiment, since the terminal device 10 works in conjunction with the server device 100, from the perspective of the user U, it appears that the processing of the server device 100 is also executed by the terminal device 10. In other words, from another perspective, it can be said that the terminal device 10 is equipped with the server device 100.

[0108] In addition, in the above embodiment, the GPT is not limited to this, and may be other AI similar to this, an app having similar functions, etc.

[0109] Furthermore, in the above embodiment, the GPT may output a sentence (text) as a sound, an image, or the like in response to an input. For example, in response to an input of a posted incident information or advertisement distribution information in text, the GPT may convert the incident response information or warning content into a sound, an image, or the like and output it. Alternatively, the server device 100 may convert the sentence output from the GPT into a sound, an image, or the like and output it.

[0110] In the above embodiment, the GPT may output text in response to input of voice, image, etc. In addition, when incident information is posted or advertising distribution information is input by voice, image, etc., the server device 100 may convert the voice, image, etc. into text and input it to the GPT.

[0111] In the above embodiment, the GPT may output in a predetermined language (such as English or another language) in response to an input in Japanese. The GPT may output in Japanese in response to an input in a predetermined language (such as English or another language). The GPT may output in a specified language in response to an input in any language.

[0112] [7. Effects] As described above, the information processing device (terminal device 10 and server device 100) of the present application is characterized by comprising a receiving unit 132 that receives posting of incident information related to advertising distribution, an extraction unit 133 that, when incident information is posted, extracts incident response information posted for similar past incident information, a generation unit 134 that generates incident response information corresponding to the incident information based on the extracted incident response information and the posted incident information, and a provision unit 135 that provides the generated incident response information in a format corresponding to the posted incident information.

[0113] The generation unit 134 inputs the posted incident information, the extracted incident response information, and an instruction sentence that instructs the model, which has been trained to generate sentences that are answers to input questions, to generate incident response information that corresponds to the posted incident information based on the incident response information, and generates the incident response information.

[0114] The generation unit 134 automatically generates predicted items of the accident cause the moment the incident information is registered.

[0115] The generation unit 134 inputs sentences of similar events from the past into a prompt and causes the GPT to generate sentences.

[0116] When generating items in the GPT, the generating unit 134 also generates information about similar events that have occurred in the past as items.

[0117] The providing unit 135 provides incident response information having technical content in response to incident information having technical content.

[0118] The providing unit 135 provides incident response information from the business side in response to the incident information from the business side.

[0119] The providing unit 135 predicts the cause of an accident and suggests related events that require attention, based on the distribution setting data and accumulated cases from the incident system.

[0120] From another viewpoint, the information processing device according to the present application is characterized by including a receiving unit 132 that receives input of advertising delivery information related to advertising delivery, an extraction unit 133 that, when the advertising delivery information related to advertising delivery is input, extracts incident information of a similar advertisement that has caused a predetermined incident in the past and has similar advertising delivery information, a generation unit 134 that generates warning content for the input advertising delivery information based on the extracted incident information, and a provision unit 135 that provides the generated warning content.

[0121] The generation unit 134 inputs the extracted incident information and an instruction sentence that instructs the model, which has been trained to generate a sentence that is an answer to an input question, to generate warning content for the input advertising delivery information based on the incident information, and generates the warning content.

[0122] The receiving unit 132 receives input of advertisement delivery information related to advertisement delivery on the advertisement delivery management screen. The providing unit 135 provides warning content in the form of a speech bubble or a pop-up on the advertisement delivery management screen.

[0123] The receiving unit 132 further receives posting of incident information related to advertisement delivery. When advertisement delivery information related to advertisement delivery is input, the extracting unit 133 extracts incident information of a similar advertisement having similar advertisement delivery information from the incident information posted in the past.

[0124] The reception unit 132 acquires incident information in a conversational format between the user and the GPT by entering a text box in a speech bubble on the advertisement delivery management screen.

[0125] The generation unit 134 generates warning content for the input advertisement distribution information based on the extracted incident information by the GPT. The provision unit 135 provides the warning content on the advertisement distribution management screen, thereby navigating the management screen setting by the GPT.

[0126] The reception unit 132 sets an advertisement submission prompt according to a purpose in advance. The provision unit 135 navigates the validity of the settings in real time when the advertisement distribution management screen is operated.

[0127] The providing unit 135 suggests the possibility of an accident by cooperating with the incident system.

[0128] By performing any one or a combination of the above-described processes, the information processing device according to the present application can more appropriately warn of an incident when setting advertisement distribution.

[0129] [8. Hardware Configuration] Moreover, the terminal device 10 and the server device 100 according to the above-described embodiment are realized by a computer 1000 having a configuration as shown in Fig. 6, for example. The server device 100 will be described below as an example. Fig. 6 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and has a configuration in which a calculation device 1030, a primary storage device 1040, a secondary storage device 1050, an output I / F (Interface) 1060, an input I / F 1070, and a network I / F 1080 are connected by a bus 1090.

[0130] The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The arithmetic device 1030 is realized by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like.

[0131] The primary storage device 1040 is a memory device such as a RAM (Random Access Memory) that primarily 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), an HDD (Hard Disk Drive), an SSD (Solid State Drive), a flash memory, or the like. The secondary storage device 1050 may be an internal storage device or an external storage device. The secondary storage device 1050 may be a removable storage medium such as a USB (Universal Serial Bus) memory or an SD (Secure Digital) memory card. The secondary storage device 1050 may be a cloud storage (online storage), a NAS (Network Attached Storage), a file server, or the like.

[0132] The output I / F 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various types of information, such as a display, a projector, a printer, etc., and is realized by a connector conforming to a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (registered trademark) (High Definition Multimedia Interface). The input I / F 1070 is an interface for receiving information from various input devices 1020, such as a mouse, a keyboard, a keypad, a button, a scanner, etc., and is realized by a USB, etc.

[0133] Furthermore, the output I / F 1060 and the input I / F 1070 may be wirelessly connected to the output device 1010 and the input device 1020, respectively. That is, the output device 1010 and the input device 1020 may be wireless devices.

[0134] The output device 1010 and the input device 1020 may be integrated into one device, such as a touch panel. In this case, the output I / F 1060 and the input I / F 1070 may also be integrated into one device, such as an input / output I / F.

[0135] 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.

[0136] The network I / F 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.

[0137] The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output I / F 1060 and the input I / F 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.

[0138] For example, when the computer 1000 functions as the server device 100, the arithmetic unit 1030 of the computer 1000 executes a program loaded onto the primary storage device 1040 to realize the functions of the control unit 130. The arithmetic unit 1030 of the computer 1000 may also load a program acquired from another device via the network I / F 1080 onto the primary storage device 1040 and execute the loaded program. The arithmetic unit 1030 of the computer 1000 may also cooperate with the other device via the network I / F 1080 and use functions and data of a program by calling them from another program of the other device.

[0139] [9. Others] Although the embodiments of the present application have been described above, the present invention is not limited to the contents of these embodiments. The above-described components include those that can be easily imagined by a person skilled in the art, those that are substantially the same, and those that are within the so-called equivalent range. Furthermore, the above-described components can be appropriately combined. Furthermore, various omissions, substitutions, or modifications of the components can be made without departing from the spirit of the above-described embodiments.

[0140] Furthermore, among 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 processing procedures, specific names, various data and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

[0141] 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.

[0142] For example, the above-mentioned server device 100 may be realized by multiple server computers, and depending on the functions, the configuration can be flexibly changed, such as by calling an external platform using an API (Application Programming Interface) or network computing.

[0143] Furthermore, the above-described embodiments and modifications can be appropriately combined as long as the processing contents are not contradictory.

[0144] Furthermore, the above-mentioned "section, module, unit" can be read as "means" or "circuit", etc. For example, an acquisition section can be read as an acquisition means or an acquisition circuit. [Explanation of symbols]

[0145] 1. Information Processing Systems 10 Terminal Equipment 100 Server device 110 Communications Department 120 Storage section 130 Control section 131 Acquisition Department 132 Reception 133 Extraction part 134 Generation part 135 Provision Department

Claims

1. A reception unit that receives an input of advertisement delivery information related to advertisement delivery; an extraction unit that extracts incident information of a similar advertisement that has a predetermined incident in the past and has similar advertisement delivery information when advertisement delivery information related to advertisement delivery is input; a generation unit that generates warning content for the input advertisement distribution information based on the extracted incident information; a providing unit for providing the generated warning content; An information processing device comprising:

2. The generation unit inputs the extracted incident information and an instruction sentence that instructs a model that has been trained to generate a sentence that is an answer to an input question to generate a warning content for the input advertisement delivery information with reference to the incident information, and generates the warning content.

2. The information processing apparatus according to claim 1,

3. The reception unit receives an input of advertisement delivery information related to advertisement delivery on an advertisement delivery management screen, The providing unit provides warning content in the form of a speech bubble or a pop-up on the advertisement distribution management screen.

2. The information processing apparatus according to claim 1,

4. The reception unit further receives a posting of incident information related to advertisement distribution; The extraction unit extracts incident information of a similar advertisement having similar advertisement delivery information from incident information posted in the past when advertisement delivery information related to advertisement delivery is input.

2. The information processing apparatus according to claim 1,

5. The reception unit acquires incident information in a conversational format between the user and the GPT by inputting text boxes into speech bubbles on an advertisement distribution management screen.

2. The information processing apparatus according to claim 1,

6. The generation unit generates warning content for the input advertisement distribution information based on the incident information extracted by the GPT, The providing unit provides warning content on an advertisement distribution management screen, thereby navigating management screen settings by GPT.

2. The information processing apparatus according to claim 1,

7. The reception unit sets an advertisement submission prompt according to a purpose in advance, The provision unit navigates the validity of settings in real time when the advertisement distribution management screen is operated.

2. The information processing apparatus according to claim 1,

8. The provision unit suggests the possibility of an accident by linking with the incident system.

2. The information processing apparatus according to claim 1,

9. An information processing method executed by an information processing device, A receiving step of receiving an input of advertisement delivery information related to advertisement delivery; an extraction step of extracting incident information of a similar advertisement in which a predetermined incident has occurred in the past and which has similar advertisement delivery information when advertisement delivery information regarding advertisement delivery is input; a generating step of generating warning content for the input advertisement delivery information based on the extracted incident information; providing the generated warning content; 13. An information processing method comprising:

10. A receiving procedure for receiving input of ad delivery information regarding ad delivery; an extraction step of extracting incident information of a similar advertisement that has a predetermined incident in the past and has similar advertisement delivery information when advertisement delivery information regarding advertisement delivery is input; A generating step of generating warning content for the input advertisement delivery information based on the extracted incident information; a serving step for serving the generated alert content; An information processing program characterized by causing a computer to execute the above.

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