Information processing device and information processing method

Abstract

This information processing device comprises: an acquisition unit that, on the basis of production information pertaining to the production of target content, acquires market information pertaining to a market of related content which is related to the target content; and a generation unit that, on the basis of the production information and the market information, generates generation information for generating advice pertaining to the production of the target content.

Description

Information processing device and information processing method

[0001] The present disclosure relates to an information processing device and an information processing method.

[0002] Patent Literature 1 discloses an interactive system for viewing and interacting with original content. The system stores the original content and receives related content related to the original content from a network. The system also associates the received related content with at least a portion of the original content and displays the original content and at least one interactive element including the related content to a user.

[0003] JP 2009-238213 A

[0004] BACKGROUND ART Conventionally, when creating content, for example, it has been desired to provide effective advice on the target content to be created.

[0005] The present disclosure aims to provide effective recommendations for targeted content.

[0006] An information processing device according to one aspect of the present disclosure includes an acquisition unit that acquires market information relating to the market for related content related to the target content based on production information relating to the production of the target content, and a generation unit that generates generation information for generating advice relating to the production of the target content based on the production information and the market information.

[0007] An information processing method according to another aspect of the present disclosure is executed by a processor, and includes the steps of: acquiring market information relating to the market for related content related to the target content based on production information relating to the production of the target content; and generating production information for generating advice relating to the production of the target content based on the production information and the market information.

[0008] According to the present disclosure, effective advice on target content can be provided.

[0009] FIG. 1 is a block diagram showing a system including a RAG system according to the present embodiment; FIG. 2 is a table showing an example of the database shown in FIG. 1; FIG. 3 is a flowchart showing an operation method of the RAG system according to the present embodiment; FIG. 4 is a diagram showing an example of how market information is acquired; FIG. 5 is a diagram showing an example of how a reference level is calculated; FIG. 6 is a diagram showing an example of how generation information is generated; FIG. 7 is a diagram showing an example of how advice for target content is output; and FIG. 8 is a diagram showing the hardware configuration of the RAG system according to the present embodiment.

[0010] The present disclosure will be described with reference to the accompanying drawings. Whenever possible, the same parts are designated by the same reference numerals and redundant description will be omitted.

[0011] FIG. 1 is a block diagram showing a system 10 including a RAG system 1 according to this embodiment. The system 10 provides, for example, a service for creating content to a user. The service includes, for example, outputting advice (hereinafter simply referred to as "advice") regarding the creation of the content to be advised (hereinafter referred to as "target content") based on information (hereinafter referred to as "production information") related to the creation of the target content. The content is, for example, NFT (Non-fungible token) content. Types of content include, for example, text, images (including video), and audio. The system 10 includes a RAG system 1 (information processing device), a terminal 2, a database 3, and a server device 4.

[0012] The RAG system 1 is configured to be able to communicate with each of the terminal 2, database 3, and server device 4 via a network. The network includes, for example, a wireless communication network and a fixed communication network. The RAG system 1, for example, receives production information from the terminal 2. The RAG system 1, for example, outputs advice based on the received production information to the terminal 2. The RAG system 1 provides advice to the user by, for example, outputting the output advice to the terminal 2.

[0013] The terminal 2 is a device used by a user who wishes to receive a service for creating content. The terminal 2 is, for example, a personal computer, a smartphone, a tablet terminal, a game console, etc. The type of the terminal 2 is not particularly limited.

[0014] Terminal 2 includes, for example, an input unit and an output unit. The input unit, for example, accepts input of production information. If terminal 2 is a smartphone, the input unit is a touch panel mounted on terminal 2. The output unit, for example, outputs advice output from RAG system 1 to the user. If terminal 2 is a smartphone, the output unit is a display (including a touch panel) mounted on terminal 2.

[0015] The database 3 stores predetermined information. For example, the database 3 stores information related to the past transaction history of content (hereinafter referred to as "history information"). "Past" refers to, for example, a point in time prior to the time when the RAG system 1 provided advice to the user. The history information includes information related to the content market. The history information may include, for example, the payment history of content on the public chain. The history information may include, for example, the sales amount of the content, the number of payments that occurred, the attributes of the purchaser, the price fluctuations of the total profit of the content, and the style of the content. The database 3 is stored, for example, in a device external to the RAG system 1.

[0016] 2 is a table showing an example of the database 3 shown in FIG. 1. The history information includes, for example, a plurality of history conditions. The history conditions are conditions for creating content. The plurality of history conditions include, for example, the name of the content, the type of content, style, target demographic, total revenue, information related to popularity, cost, period, features, and precautions.

[0017] The content name is information that uniquely identifies the content. The content name is, for example, the title of a work. The database 3 only needs to include information that uniquely identifies the content, and may include content identification information (for example, ID (Identification)) instead of the content name.

[0018] The style of the content is, for example, the tendency of the creator that is reflected in the content. The style of the content includes, for example, motifs that appear in the content (e.g., people, dragons, monsters, etc.). The target demographic is, for example, the customer demographic that is expected to receive the content. The target demographic includes, for example, age and gender.

[0019] The total revenue is the gross profit earned from the sale of the content. The popularity-related information is information about the popularity of the content in the market. The popularity-related information is, for example, the ranking (hereinafter referred to as "ranking") of the degree of increase in total revenue over a predetermined period of time (e.g., three months) in the past among the contents included in the history information. The ranking is considered to reflect, for example, the degree to which the content has attracted attention within the predetermined period of time.

[0020] The cost is the amount of money required to produce the content. The cost may be, for example, the total of labor costs, advertising costs, equipment costs, etc. required to produce the content. The period is the period required to produce the content.

[0021] Characteristics are characteristic features that appear in the content. Characteristics may include, for example, information indicating the market value of the content, such as "appears in a popular anime." Characteristics may include, for example, information indicating the impression given by the content, such as "cool" and "powerful." Characteristics may include, for example, classifications of characters that appear in the content, such as "dragon" and "monster."

[0022] The precautions are matters that require attention when producing content. The precautions may include, for example, that a license fee is required from a copyright holder or the like when producing content. The precautions may include a specific amount of the license fee.

[0023] The server device 4 is a device that enables the provision of advice using a generative AI model 41. The server device 4 stores, for example, the generative AI model 41. In response to input of generation information (e.g., a prompt) including input information, the generative AI model 41 generates advice according to any one or a combination of instructions, context, questions, and output formats indicated by the generation information. The generative AI model 41 is an AI model that can return the generated advice as response information. Specific examples of the generation information will be described later.

[0024] The generative AI model 41 may be, for example, an interactive AI that includes a large language model (LLM) and a user interface (UI) for interacting with the user, enabling text or voice chat with the user. Examples of such generative AI models 41 include ChatGPT, GPT (registered trademark)-3.5, GPT-4V, PaLM2, etc. The generative AI model 41 may also be, for example, an AI model specialized for images (e.g., Stable Diffusion, etc.).

[0025] The generative AI model 41 may be stored in the server device 4, or may be stored in another device connected to the server device 4 via a network so that information can be exchanged with the user via the server device 4. The generative AI model 41 may be stored in, for example, the RAG system 1. Note that although only one server device 4 is illustrated in FIG. 1, the system 10 may include multiple server devices 4.

[0026] Next, we will explain the functional configuration of the RAG system 1. The RAG system 1 includes a receiving unit 11, an acquiring unit 12, a generating unit 13, and an output unit 14 as its functional configuration.

[0027] The reception unit 11 receives, for example, production information. The production information includes production conditions for producing the target content. The production information includes, for example, extraction conditions for extracting related content that is used as a reference when producing the target content. Related content is content that is related to the target content. The production information includes, for example, multiple production conditions. The multiple production conditions include, for example, essential conditions that are required for producing the target content. The multiple production conditions include, for example, a budget for producing the target content. The multiple production conditions include, for example, a target production period, which is the period for producing the target content. Specific examples of production information will be described later.

[0028] The acquisition unit 12 acquires market information related to the market for the related content based on the production information accepted by the acceptance unit 11. For example, the acquisition unit 12 acquires related content that satisfies extraction conditions included in the production information as market information. The market information corresponds to the production conditions included in the production information and includes related conditions for the production of the related content. The market information includes, for example, multiple related conditions.

[0029] "Related conditions correspond to production conditions" means that the type of related condition is the same as the type of production condition. Market information includes, for example, the cost required to produce the related content. The cost corresponds to the budget, which is a production condition. Market information includes, for example, the related production period, which is the period required to produce the related content. The related production period corresponds to the target production period, which is a production condition. Market information includes, for example, information related to the popularity of the related content in the market. Specific examples of market information will be described later.

[0030] The generation unit 13 generates generation information for generating advice based on the production information received by the reception unit 11 and the market information acquired by the acquisition unit 12. The generation information is, for example, a prompt input by the generation AI model 41. Specific examples of the generation information will be described later.

[0031] The output unit 14 inputs the generation information generated by the generation unit 13 to the generation AI model 41. The output unit 14 acquires the advice output from the generation AI model 41. The output unit 14 outputs the acquired advice. The output unit 14, for example, outputs the advice to the terminal 2. The output unit 14, for example, outputs the advice to the output unit of the terminal 2.

[0032] Next, an operation method (including an example of an information processing method) of the RAG system 1 according to this embodiment will be described. Fig. 3 is a flowchart showing the operation method of the RAG system 1 according to this embodiment. First, the reception unit 11 receives production information (step S1). In step S1, the user inputs the production information via the input unit of the terminal 2.

[0033] As shown in FIG. 4 , the user inputs, for example, the type of content, style, target demographic, target production period, and budget as multiple production conditions. For example, the user inputs, as a required condition, that the type of content is images. For example, the user inputs, as expected conditions, that the style is based on people, that the target demographic is men in their twenties, that the target production period is 150 hours, and that the budget is 4 million yen. The expected conditions are not required for producing the target content, but are expected conditions. For example, the user inputs, as an extraction condition, that the ranking be within the top 10.

[0034] The terminal 2 transmits the input production information to the RAG system 1. The reception unit 11 accepts the received production information.

[0035] Next, the acquisition unit 12 acquires market information (step S2). In step S2, the acquisition unit 12 acquires, as market information, related content that satisfies the extraction conditions accepted in step S1.

[0036] 2 and 4, the rankings of works A, B, C, and D are within the top 10. Therefore, in step S2, the acquisition unit 12 identifies works A to D that satisfy the extraction conditions as related content. The acquisition unit 12 acquires, as related conditions, the history conditions indicated by the history information of the identified related content.

[0037] Next, the generator 13 generates generation information for generating advice based on the production information received in step S1 and the market information acquired in step S2 (step S3). As shown in Fig. 6, the generation information includes, for example, roles, tasks, conditions, input information, and output formats.

[0038] The role is the part that specifies the perspective from which advice is generated. The task is the part that specifies the required task. The condition is the part that specifies the constraints required to execute the task. The input information is the information that is the premise for executing the task. The output format is the part that specifies the format in which the advice is output.

[0039] The generating unit 13 generates generation information including a preset role, for example. The generating unit 13 generates generation information including a role of "content trader," for example.

[0040] The generation unit 13 generates generation information including, for example, a preset task. The generation unit 13 generates generation information including, for example, an instruction to "generate a sentence showing advice on content production" as a task. The generation unit 13 generates generation information including, for example, the production conditions accepted in step S1 as conditions.

[0041] In step S3, the generation unit 13 generates generation information including the related content acquired in step S2 and the essential condition accepted in step S1. In the example of Fig. 6, the generation unit 13 generates generation information including, for example, the essential condition that "the type of content is limited to images" as a condition of the generation information. The generation unit 13 also generates generation information including, for example, the related condition of the related content acquired in step S2 as input information.

[0042] In step S3, the generation unit 13 generates generation information including an instruction to output a reference level, which is the degree to which each related content acquired in step S2 can be used as a reference when creating the target content. As shown in FIG. 5 , the generation unit 13 calculates the reference level based on, for example, information related to the popularity of the related content. For example, the generation unit 13 may calculate the reference level by multiplying a value obtained by subtracting the ranking of the related content from a certain value (for example, 10) by a certain coefficient (for example, 10). The above value and coefficient are, for example, set in advance. However, the method by which the generation unit 13 calculates the reference level is not limited to the method described above. For example, the generation unit 13 generates generation information including the calculated reference level as input information for the generation information. For example, the generation unit 13 generates generation information including an instruction to "output the reference level" as a condition for the generation information.

[0043] In step S3, the generation unit 13 generates generation information including an instruction to output notes regarding the production of the target content. As shown in Fig. 6, the generation unit 13 generates generation information including, for example, an instruction to output notes for each related content that requires costs exceeding the budget accepted in step S1 as a condition of the generation information. The generation unit 13 also generates generation information including, for example, an instruction to output notes for each related content that requires a related production period that exceeds the target production period accepted in step S1 as a condition of the generation information.

[0044] The generating unit 13 may generate generation information including, for example, an instruction to output notes other than the notes related to the budget and the production period. The generating unit 13 may generate generation information including, for example, an instruction to output notes included in the plurality of related conditions acquired in step S2.

[0045] In step S3, the generation unit 13 generates generation information including, for example, an instruction to output, as an output format, a description of the work that can be used as a reference.The generation unit 13 generates generation information including, for example, an instruction to output, as an output format, content that suggests what kind of image should be created.The generation unit 13 generates generation information including, for example, an instruction to output, as an output format, notes on production.

[0046] Next, the output unit 14 outputs advice (step S4). In step S4, the output unit 14 transmits the generation information generated in step S3 to the server device 4 and inputs the generation information to the generative AI model 41. The generative AI model 41 generates advice using the generation information as input. The generative AI model 41 generates advice based on, for example, the role, task, condition, input information, and output format included in the generation information. As shown in FIG. 7, the generative AI model 41 may generate advice including, for example, a content motif. The generative AI model 41 may generate advice to, for example, create an original image to avoid license fees. The generative AI model 41 may generate advice including, for example, related content as content that can be used as reference. The generative AI model 41 may generate advice including precautions.

[0047] In step S4, the server device 4 outputs the advice generated by the generative AI model 41 to the output unit 14. The output unit 14 transmits the advice output from the server device 4 to the terminal 2. The output unit 14 outputs the advice to the output unit of the terminal 2. After the above processing, the RAG system 1 completes the series of operations.

[0048] Next, the effects of the RAG system 1 will be described. In the RAG system 1, in addition to production information, market information related to the market for related content related to the target content is taken into consideration when generating creation information. This makes it possible to provide advice on the production of the target content, for example, taking into consideration content that is highly rated in the market. Therefore, it is possible to provide effective advice on the target content.

[0049] Furthermore, the method of operating the RAG system 1 described above has the same effects as the RAG system 1.

[0050] The production information includes extraction conditions for extracting related content to be used as a reference when producing the target content, and the acquisition unit 12 acquires related content that satisfies the extraction conditions as market information. In this case, advice regarding the production of the target content can be generated based on the related content to be used as a reference when producing the target content. Therefore, more effective advice regarding the target content can be provided.

[0051] The production information includes essential conditions that are necessary for producing the target content, and the generation unit 13 generates the production information that includes the related content and the essential conditions. In this case, for example, it is possible to generate production information that includes, as essential conditions, desired conditions that the user considers to be essential for producing the target content. Therefore, for example, it is possible to provide advice regarding the production of the target content that the user desires.

[0052] The generation unit 13 generates generation information including an instruction to output a reference level for each related content, which indicates the degree to which the related content can be used as a reference when creating the target content. In this case, for example, the user can understand related content with a high reference level and use it to create the target content. Therefore, more effective advice on the target content can be provided.

[0053] The market information includes information on the popularity of the related content in the market, and the generation unit 13 calculates the reference level based on the information on the popularity of the related content. The information on popularity is considered to reflect, for example, the degree to which the content is attracting attention. Therefore, the reference level of the related content can be calculated more accurately.

[0054] The generation unit 13 generates generation information including an instruction to output important points to be noted when creating the target content. In this case, for example, the user can understand important points to be noted when referring to related content, and use the information to help create the target content. Therefore, more effective advice on the target content can be provided.

[0055] The production information includes the budget for producing the target content, and the market information includes the costs required to produce the related content. The generation unit 13 generates the production information including an instruction to output a warning for each related content that exceeds the budget. When the target content is produced using related content that exceeds the budget as a reference, for example, it can be said that the production costs of the target content may exceed the budget. In this case, for example, a warning indicating that the costs required to produce the related content exceed the budget can be output, thereby alerting the user to the production costs. Therefore, more effective advice on the target content can be provided.

[0056] The production information includes a target production period, which is the period required to produce the target content, and the market information includes a related production period, which is the period required to produce the related content. The generation unit 13 generates generation information including an instruction to output a warning for each related content that requires a related production period that exceeds the target production period. When the target content is produced using related content that requires a related production period that exceeds the target production period as a reference, for example, it can be said that the production period of the target content may exceed the target production period. In this case, for example, a warning indicating that the related production period exceeds the target production period can be output, thereby alerting the user to the production period. Therefore, more effective advice on the target content can be provided.

[0057] Next, a modified example of the RAG system 1 will be described.

[0058] (1) In the above example, the generation unit 13 calculated the reference level based on information related to the popularity of related content. However, the generation unit 13 may calculate the reference level based on the production conditions accepted by the acceptance unit 11 and the related conditions acquired by the acquisition unit 12. The generation unit 13 may calculate the reference level based on, for example, the degree to which the related conditions are satisfied with the production conditions.

[0059] The generation unit 13 may calculate, for example, the ratio of the number of related conditions that satisfy the production conditions to the number of production conditions as the degree of satisfaction. In the example of FIG. 2 , among the related conditions of work A, the content type, style, target demographic, and related production period satisfy the production conditions of the target content. On the other hand, among the related conditions of work A, the cost does not meet the budget for the target content. Therefore, the generation unit 13 may calculate, for example, the ratio (e.g., 0.8) of the number of related conditions that satisfy the production conditions (e.g., 4) to the number of production conditions (e.g., 5) as the degree of satisfaction. The generation unit 13 may, for example, multiply the calculated degree of satisfaction by a coefficient (e.g., 100) to calculate a value (e.g., 80) as the degree of reference.

[0060] (2) In the above example, the production information included extraction conditions. However, the production information does not need to include extraction conditions. In this case, for example, the extraction conditions may be set in advance. The acquisition unit 12 may acquire, as market information, related content that satisfies the preset extraction conditions. Also, in the above example, the extraction condition was that the content be ranked within the top 10. However, the content of the extraction conditions can be changed as appropriate.

[0061] (3) In the above example, the production information included multiple production conditions, such as the type of content, style, target demographic, budget, and target production period. However, the content of the production information is not limited to the above-described content. The production information may include, for example, content previously produced by the user. The production information may include, for example, information for considering the production policy for the target content. The production information may include, for example, at least one of the content publisher, the release date of the content, the total number of content issues, and the token specifications.

[0062] (4) In the above example, the database 3 is stored in a device external to the RAG system 1. However, the database 3 may also be stored in the RAG system 1.

[0063] (5) In the above example, the system 10 included the RAG system 1, the terminal 2, the database 3, and the server device 4. An example was described in which each functional unit (receiving unit 11, acquiring unit 12, generating unit 13, and output unit 14) is realized by processing in the RAG system 1. However, each functional unit may be realized by processing in the terminal 2. In this case, the system 10 does not need to include the RAG system 1. Also, if the database 3 is stored in the terminal 2, the system 10 does not need to include the database 3. The generative AI model 41 may be stored in the terminal 2, for example. In this case, the system 10 does not need to include the server device 4.

[0064] (6) In the above example, the RAG system 1 includes the reception unit 11. However, the RAG system 1 does not necessarily have to include the reception unit 11.

[0065] The information processing device and information processing method of the present disclosure have the following configuration.

[0066] [1] An information processing device comprising: an acquisition unit that acquires market information relating to the market of related content related to a target content based on production information relating to the production of the target content; and a generation unit that generates generation information for generating advice relating to the production of the target content based on the production information and the market information.

[0067] [2] The information processing device according to [1], wherein the production information includes extraction conditions for extracting the related content to be used as a reference when producing the target content, and the acquisition unit acquires the related content that satisfies the extraction conditions as the market information.

[0068] [3] The information processing device according to [1] or [2], wherein the production information includes essential conditions that are required for production of the target content, and the generation unit generates the production information including the related content and the essential conditions.

[0069] [4] The information processing device according to any one of [1] to [3], wherein the generation unit generates the generation information including an instruction to output a reference level, which is a degree to which the related content can be used as a reference for creating the target content, for each of the related content.

[0070] [5] The information processing device according to [4], wherein the market information includes information relating to the popularity of the related content in the market, and the generation unit calculates the reference level based on the information relating to the popularity of the related content.

[0071] [6] The information processing device described in [4] or [5], wherein the production information includes production conditions for producing the target content, the market information corresponds to the production conditions and includes related conditions for producing the related content, and the generation unit calculates the reference level based on the production conditions and the related conditions.

[0072] [7] The information processing device according to any one of [1] to [6], wherein the generation unit generates the generation information including an instruction to output notes to be taken into account in the production of the target content.

[0073] [8] The information processing device described in [7], wherein the production information includes a budget for producing the target content, the market information includes costs required to produce the related content, and the generation unit generates the generation information including an instruction to output the notice for each related content that requires costs exceeding the budget.

[0074] [9] The information processing device described in [7] or [8], wherein the production information includes a target production period, which is the period for producing the target content; the market information includes a related production period, which is the period required for producing the related content; and the generation unit generates the generation information including an instruction to output the notes for each related content that requires a related production period that exceeds the target production period.

[0075]

[10] An information processing method executed by a processor, comprising: a step of acquiring market information relating to the market of related content related to the target content based on production information relating to the production of the target content; and a step of generating production information for generating advice relating to the production of the target content based on the production information and the market information.

[0076] The block diagrams used to explain the above embodiments show functional blocks. These functional blocks (components) are realized by any combination of hardware and / or software. Furthermore, the method for realizing each functional block is not particularly limited. That is, each functional block may be realized using a single device that is physically or logically coupled, or may be realized using two or more physically or logically separated devices that are connected directly or indirectly (e.g., via wire, wirelessly, etc.) and these multiple devices. The functional block may also be realized by combining the single device or multiple devices with software.

[0077] Functions include, but are not limited to, judgment, determination, discrimination, calculation, computation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, resolution, selection, selection, establishment, comparison, assumption, expectation, regard, broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, and assignment. For example, a functional block (component) that performs transmission is called a transmitting unit or transmitter. As mentioned above, there are no particular limitations on how these functions are implemented.

[0078] 8 is a diagram showing an example of the hardware configuration of the RAG system 1 according to this embodiment. The RAG system 1 may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, etc.

[0079] In the following description, the term "device" can be interpreted as a circuit, a device, a unit, etc. The hardware configuration of the RAG system 1 may be configured to include one or more of the devices shown in the figure, or may be configured to exclude some of the devices.

[0080] Each function in the RAG system 1 is realized by loading specified software (programs) onto hardware such as a processor 1001 and memory 1002, causing the processor 1001 to perform calculations, control communication via a communication device 1004, and control at least one of reading and writing data in the memory 1002 and storage 1003.

[0081] The processor 1001, for example, runs an operating system to control the entire computer. The processor 1001 may be configured as a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic unit, a register, etc. For example, at least one of the functional units of the RAG system 1 described above may be realized by the processor 1001.

[0082] The processor 1001 also reads programs (program code), software modules, data, etc. from at least one of the storage 1003 and the communication device 1004 into the memory 1002 and executes various processes in accordance with these. The program may be a program that causes a computer to execute at least some of the operations described in the above-described embodiments. For example, at least one of the functional units of the RAG system 1 may be implemented by a control program stored in the memory 1002 and running on the processor 1001, and similar implementations may be used for other functional blocks. While the above-described various processes have been described as being executed by a single processor 1001, they may also be executed simultaneously or sequentially by two or more processors 1001. The processor 1001 may be implemented by one or more chips. The programs may also be transmitted from a network via a telecommunications line.

[0083] The memory 1002 is a computer-readable recording medium and may be configured, for example, by at least one of a read-only memory (ROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a random access memory (RAM), etc. The memory 1002 may also be referred to as a register, a cache, a main memory (primary storage device), etc. The memory 1002 can store executable programs (program codes), software modules, etc. for implementing the accompanying determination method according to one embodiment of the present disclosure.

[0084] Storage 1003 is a computer-readable recording medium, and may be composed of at least one of, for example, an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, a magneto-optical disk (e.g., a compact disk, a digital versatile disk, a Blu-ray (registered trademark) disk), a smart card, a flash memory (e.g., a card, a stick, a key drive), a floppy (registered trademark) disk, a magnetic strip, etc. Storage 1003 may also be referred to as an auxiliary storage device. The above-mentioned storage medium may be, for example, a database, a server, or other appropriate medium including at least one of memory 1002 and storage 1003.

[0085] The communication device 1004 is hardware (transmission / reception device) for communicating between computers via at least one of a wired network and a wireless network, and is also referred to as a network device, network controller, network card, communication module, etc. The communication device 1004 may be configured to include a high-frequency switch, a duplexer, a filter, a frequency synthesizer, etc. to realize at least one of frequency division duplex (FDD) and time division duplex (TDD). For example, at least one of the functional units of the RAG system 1 described above may be realized by the communication device 1004. The communication device 1004 may be implemented with a transmitter and a receiver that are physically or logically separated.

[0086] The input device 1005 is an input device (e.g., a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that receives input from the outside. The output device 1006 is an output device (e.g., a display, a speaker, an LED lamp, etc.) that outputs to the outside. Note that the input device 1005 and the output device 1006 may be integrated into one device (e.g., a touch panel).

[0087] Furthermore, each device, such as the processor 1001 and the memory 1002, is connected by a bus 1007 for communicating information. The bus 1007 may be configured using a single bus, or may be configured using different buses between each device.

[0088] The RAG system 1 may also be configured to include hardware such as a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), or a field programmable gate array (FPGA), and some or all of the functional blocks may be realized by the hardware. For example, the processor 1001 may be implemented using at least one of these pieces of hardware.

[0089] The notification of information is not limited to the aspects / embodiments described in the present disclosure and may be performed using other methods. For example, the notification of information may be performed by physical layer signaling (e.g., Downlink Control Information (DCI) and Uplink Control Information (UCI)), higher layer signaling (e.g., Radio Resource Control (RRC) signaling, Medium Access Control (MAC) signaling, broadcast information (Master Information Block (MIB) and System Information Block (SIB))), other signals, or a combination thereof. Furthermore, the RRC signaling may be referred to as an RRC message, and may be, for example, an RRC Connection Setup message, an RRC Connection Reconfiguration message, or the like.

[0090] The order of the procedures, sequences, flowcharts, etc. of each aspect / embodiment described in this disclosure may be changed unless it is consistent. For example, the methods described in this disclosure present elements of various steps using an example order, and are not limited to the particular order presented.

[0091] Input and output information may be stored in a specific location (for example, memory) or may be managed using a management table. Input and output information may be overwritten, updated, or added to. Output information may be deleted. Input information may be sent to another device.

[0092] The determination may be made based on a value represented by one bit (0 or 1), a Boolean value (true or false), or a numerical comparison (e.g., comparison with a predetermined value).

[0093] The aspects / embodiments described in this disclosure may be used alone, in combination, or switched depending on the implementation. Notification of predetermined information (e.g., notification that "X is true") is not limited to explicit notification, but may be implicit (e.g., not notifying the predetermined information).

[0094] Although the present disclosure has been described in detail above, it is clear to those skilled in the art that the present disclosure is not limited to the embodiments described herein. The present disclosure can be implemented in modified and altered forms without departing from the spirit and scope of the present disclosure as defined by the claims. Therefore, the description of the present disclosure is intended to be illustrative and does not have any limiting meaning on the present disclosure.

[0095] Software shall be construed broadly to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, functions, etc., whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise.

[0096] Software, instructions, information, etc. may also be transmitted or received over a transmission medium. For example, if software is transmitted from a website, server, or other remote source using wired technologies (such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL)), and / or wireless technologies (such as infrared, microwave), then these wired and / or wireless technologies are included within the definition of transmission media.

[0097] The information, signals, etc. described in this disclosure may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof.

[0098] Note that terms described in this disclosure and terms necessary for understanding this disclosure may be replaced with terms having the same or similar meanings. For example, at least one of a channel and a symbol may be a signal (signaling). Furthermore, a signal may be a message. Furthermore, a component carrier (CC) may be called a carrier frequency, a cell, a frequency carrier, etc.

[0099] Furthermore, the information, parameters, etc. described in the present disclosure may be expressed using absolute values, may be expressed using relative values ​​from a predetermined value, or may be expressed using other corresponding information. For example, a radio resource may be indicated by an index.

[0100] The names used for the above-described parameters are not intended to be limiting in any way. Furthermore, the mathematical expressions using these parameters may differ from those explicitly disclosed in this disclosure. The various channels (e.g., PUCCH, PDCCH, etc.) and information elements may be identified by any suitable names, and therefore the various names assigned to these various channels and information elements are not intended to be limiting in any way.

[0101] In this disclosure, the terms "Mobile Station (MS)," "user terminal," "User Equipment (UE)," "terminal," and the like may be used interchangeably.

[0102] A mobile station may also be referred to by those skilled in the art as a subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, or some other suitable terminology.

[0103] As used in this disclosure, the terms "determining" and "determining" may encompass a wide variety of actions. "Determining" and "determining" may include, for example, judging, calculating, computing, processing, deriving, investigating, looking up, searching, inquiring (e.g., searching in a table, database, or other data structure), ascertaining, and the like. "Determining" and "determining" may also include receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, accessing (e.g., accessing data in memory), and the like. Furthermore, "judgment" and "decision" can include regarding resolving, selecting, choosing, establishing, comparing, etc. as having been "judged" or "decided." In other words, "judgment" and "decision" can include regarding some action as having been "judged" or "decided." Furthermore, "judgment (decision)" can be interpreted as "assuming," "expecting," "considering," etc.

[0104] The terms "connected," "coupled," or any variation thereof, refer to any direct or indirect connection or coupling between two or more elements, and may include the presence of one or more intermediate elements between two elements that are "connected" or "coupled" to each other. The coupling or connection between elements may be physical, logical, or a combination thereof. For example, "connected" may be read as "access." As used in this disclosure, two elements may be considered to be "connected" or "coupled" to each other using one or more wires, cables, and / or printed electrical connections, as well as electromagnetic energy having wavelengths in the radio frequency range, microwave range, and optical (both visible and invisible) range, as some non-limiting and non-exhaustive examples.

[0105] As used in this disclosure, the phrase "based on" does not mean "based only on," unless expressly stated otherwise. In other words, the phrase "based on" means both "based only on" and "based at least on."

[0106] As used in this disclosure, any reference to an element using a designation such as "first," "second," etc. does not generally limit the quantity or order of those elements. These designations may be used in this disclosure as a convenient method of distinguishing between two or more elements. Thus, a reference to a first and a second element does not imply that only two elements may be employed or that the first element must in some way precede the second element.

[0107] When the terms "include," "including," and variations thereof are used in this disclosure, these terms are intended to be inclusive, similar to the term "comprising." Furthermore, when the term "or" is used in this disclosure, it is not intended to be an exclusive or.

[0108] In this disclosure, where articles are added by translation, such as a, an, and the in English, the disclosure may include that the nouns following these articles are in the plural form.

[0109] In the present disclosure, the term "A and B are different" may mean "A and B are different from each other." The term may also mean "A and B are each different from C." Terms such as "separate" and "coupled" may also be interpreted in the same way as "different."

[0110] 1...RAG system (information processing device), 12...acquisition unit, 13...generation unit, 14...output unit, 41...generated AI model

Claims

1. An information processing device comprising: an acquisition unit that acquires market information relating to the market for related content related to a target content based on production information relating to the production of the target content; and a generation unit that generates generation information for generating advice relating to the production of the target content based on the production information and the market information.

2. The information processing device described in claim 1, wherein the production information includes extraction conditions for extracting the related content to be used as a reference when producing the target content, and the acquisition unit acquires the related content that satisfies the extraction conditions as the market information.

3. The information processing device according to claim 1, wherein the production information includes essential conditions that are required for the production of the target content, and the generation unit generates the production information including the related content and the essential conditions.

4. The information processing device according to claim 1, wherein the generation unit generates the generation information including an instruction to output a reference level for each of the related content items, the reference level indicating the degree to which the related content item can be used as a reference when creating the target content item.

5. An information processing device as described in claim 4, wherein the market information includes information relating to the popularity of the related content in the market, and the generation unit calculates the reference level based on the information relating to the popularity of the related content.

6. An information processing device as described in claim 4, wherein the production information includes production conditions for producing the target content, the market information corresponds to the production conditions and includes related conditions for producing the related content, and the generation unit calculates the reference level based on the production conditions and the related conditions.

7. The information processing device according to claim 1, wherein the generation unit generates the generation information including an instruction to output notes regarding the production of the target content.

8. An information processing device as described in claim 7, wherein the production information includes a budget for producing the target content, the market information includes costs required to produce the related content, and the generation unit generates the generation information including instructions to output the notice for each related content that requires costs exceeding the budget.

9. An information processing device as described in claim 7, wherein the production information includes a target production period, which is the period for producing the target content; the market information includes a related production period, which is the period required for producing the related content; and the generation unit generates the generation information including an instruction to output the notes for each related content that requires a related production period that exceeds the target production period.

10. An information processing method executed by a processor, comprising: a step of acquiring market information relating to the market for related content related to the target content based on production information relating to the production of the target content; and a step of generating production information for generating advice relating to the production of the target content based on the production information and the market information.

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