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

Abstract

An information processing device for managing user generated content, the information processing device being characterized by including: a content acquiring unit that acquires user information and the content from a plurality of users; a user identifying unit that hierarchically identifies derived users, including the user who generated the content and users who have performed transaction actions on the basis of the content; an associated content management unit that hierarchically associates the content generated by the derived users and manages the content as associated content; and a user analyzing unit that analyzes the users' tendencies in relation to the transaction actions on the basis of at least the associativity of the associated content.

Description

Information Processing Apparatus, Information Processing Program, and Information Processing Method 【0001】 The present invention relates to an information processing apparatus, an information processing program, and an information processing method for managing content transmitted by a user. 【0002】 In social media and e-commerce platforms, techniques for managing and analyzing content transmitted by users are known. 【0003】 Japanese Patent No. 5775833 【0004】 In the conventional technology, the relationship between the content sender and the user who conducted a transaction based on the content could not be sufficiently analyzed. Therefore, it was difficult to accurately grasp the influence of the content and the tendency of the user's transaction behavior. 【0005】 The present invention has been made in view of such a background, and aims to hierarchically manage the relationship between the content sender and the user who conducted a transaction, and effectively analyze the tendency in the user's transaction behavior. 【0006】 To solve the above problems, the present invention is an information processing apparatus for managing content transmitted by a user, including a content acquisition unit that acquires user information and content from a plurality of users, a user identification unit that hierarchically identifies derived users including the user who transmitted the content and the user who conducted a transaction based on the content, a related content management unit that hierarchically associates and manages the content transmitted by the derived users as related content, and a user analysis unit that analyzes the tendency in the user's transaction behavior based at least on the relevance of the related content. 【0007】 According to the present invention, the relationship between the content sender and the user who conducted a transaction can be hierarchically managed, and the tendency in the user's transaction behavior can be effectively analyzed. 【0008】This figure shows an example of the overall configuration of an information processing system according to one embodiment of the present invention. This figure shows an example of the hardware configuration of the server device 1 according to the same embodiment. This figure shows an example of the functional configuration of the server device 1 according to the same embodiment. This figure shows an example of user information stored in the user information storage unit 1 according to the same embodiment. This figure shows an example of content stored in the content storage unit according to the same embodiment. This figure shows an example of related content stored in the related content storage unit according to the same embodiment. This figure shows an example of user analysis results stored in the user analysis result storage unit 134 according to the same embodiment. This figure shows an example of case information stored in the case information storage unit 135 according to the same embodiment. This is a flowchart showing the processing flow of the server device 1 according to the same embodiment. 【0009】<Summary of the Invention> The embodiments of the present invention will be described by listing them. The present invention has, for example, the following configurations: [Item 1] An information processing device for managing content transmitted by a user, comprising: a content acquisition unit that acquires user information and the content from a plurality of the users; a user identification unit that hierarchically identifies derived users, including the user who transmitted the content and the user who performed a transaction based on the content; a related content management unit that hierarchically associates and manages the content transmitted by the derived users as related content; and a user analysis unit that analyzes the user's tendencies in the transaction based on at least the relationships of the related content. [Item 2] An information processing device according to Item 1, further comprising: a content nature analysis unit that analyzes the nature of the content, wherein the user analysis unit analyzes the user's tendencies in the transaction based on the relationships of the content and the nature. [Item 3] An information processing device according to Item 1 or 2, further comprising: a provision recommendation unit that recommends provision to the user that is the subject of the transaction based on the tendencies. [Item 4] An information processing system according to Item 1 or 2, further comprising: an advertising generation unit that generates advertising content to be presented to the user based on the trend; and an information processing device according to Item 5, an information processing device according to Item 1 or 2, further comprising: a case information storage unit that stores case information included in the content in association with the content; and a case database generation unit that generates a case database based on the features and the case information.[Item 6] An information processing program for managing user-generated content, wherein the computer executes: a content acquisition step of acquiring user information and the content from a plurality of users; a user identification step of hierarchically identifying derived users, including the user who generated the content and the user who performed a transaction based on the content; a related content management step of hierarchically associating and managing the content generated by the derived users as related content; and a user analysis step of analyzing the user's tendencies in the transaction based on at least the relationships of the related content. [Item 7] An information processing method for managing user-generated content, wherein the computer executes: a content acquisition step of acquiring user information and the content from a plurality of users; a user identification step of hierarchically identifying derived users, including the user who generated the content and the user who performed a transaction based on the content; a related content management step of hierarchically associating and managing the content generated by the derived users as related content; and a user analysis step of analyzing the user's tendencies in the transaction based on at least the relationships of the related content. 【0010】 Embodiments of the present invention will be described in detail below with reference to the drawings. In this specification and the drawings, components having substantially the same functional configuration are denoted by the same reference numerals, and redundant descriptions will be omitted. 【0011】 ==Overview== Figure 1 is a diagram showing the overall configuration of the information processing system. As shown in Figure 1, the information processing system has a server device 1, a user terminal 3, and a business terminal 4. The server device 1 is connected to the user terminal 3 and the business terminal 4 via a network 2. Only one server device 1, one user terminal 3, and one business terminal 4 are shown, but it goes without saying that there may be more than one. 【0012】==Server Device 1== Server device 1 may be a general-purpose computer such as a workstation or personal computer, or it may be logically implemented through cloud computing. 【0013】 ==User Terminal 3== User Terminal 3 is a computer used by users to upload content to the information processing system or to conduct transactions. User Terminal 3 can be, for example, a smartphone, a tablet computer, or a personal computer. Users can access Server Device 1 through applications or web browsers running on User Terminal 3. 【0014】 ==Business Terminal 4== Business Terminal 4 is a computer used by a business that conducts marketing and other activities for users through an information processing system. Business Terminal 4 may be, for example, a smartphone, tablet computer, or personal computer. Users can access Server Device 1, for example, through applications or web browsers running on Business Terminal 4. 【0015】==Hardware Configuration== Figure 2 shows an example of the hardware configuration of server device 1. Note that the illustrated configuration is just one example, and other configurations are also possible. Server device 1 includes a CPU 101, memory 102, storage device 103, communication interface 104, input device 105, and output device 106. The storage device 103 stores various data and programs, such as a hard disk drive, solid state drive, or flash memory. The communication interface 104 is an interface for connecting to the communication network 2, such as an adapter for connecting to Ethernet (registered trademark), a modem for connecting to a public telephone network, a wireless communication device for wireless communication, or a USB (Universal Serial Bus) connector or RS232C connector for serial communication. The input device 105 is for inputting data, such as a keyboard, mouse, touch panel, button, or microphone. The output device 106 is for outputting data, such as a display, printer, or speaker. Furthermore, each functional unit of the server device 1, as described later, is realized by the CPU 101 reading a program stored in the storage device 103 into the memory 102 and executing it, and each storage unit of the server device 1 is realized as part of the storage area provided by the memory 102 and the storage device 103. 【0016】 ==Functions of Server Device 1== As shown in Figure 3 as an example, Server Device 1 comprises the following processing units: Content Acquisition Unit 111, Content Presentation Unit 112, User Identification Unit 113, Related Content Management Unit 114, User Analysis Unit 115, Content Nature Analysis Unit 116, Offering Recommendation Unit 117, Advertisement Generation Unit 118, and Case Database Generation Unit 119; and the following storage units: User Information Storage Unit 131, Content Storage Unit 132, Related Content Storage Unit 133, User Analysis Result Storage Unit 134, and Case Information Storage Unit 135. 【0017】 ==Description of the Memory Unit== The memory unit of the embodiment of the present invention will be described in detail below with reference to the drawings. 【0018】The user information storage unit 131 stores the user information acquired by the content acquisition unit 111. As shown in Figure 4 as an example, the user information includes basic information such as user ID, name, account name, age, gender, address, email address, and number of SNS followers, as well as transaction-related information such as the type of transaction performed by the user, transaction execution date and time, transaction amount, success or failure of the transaction, transaction history, and interest categories. 【0019】 The content storage unit 132 stores the content acquired by the content acquisition unit 111. The content includes various forms of data such as the user ID of the user who posted or distributed the content, the content ID, text, images, videos, audio, and distribution information, as shown in an example in Figure 5. The content may also include information about the subject matter (product name, cost, etc.) and information about the provider of the subject matter (company name, location, contact information, etc.). 【0020】 The related content storage unit 133 stores information about related content managed by the related content management unit 114. Related content information includes hierarchical relationships, degree of relevance, and interaction information between content, as shown in an example in Figure 6. 【0021】 The user analysis result storage unit 134 stores the analysis results of the user analysis unit 115's analysis of trends in the user's trading behavior. The analysis results include information such as trading patterns, preferences, and influence, as shown in Figure 7 as an example. 【0022】 The case information storage unit 135 stores specific case information related to the offering. As shown in Figure 8 as an example, the case information includes performance information such as the type of offering, suitable users / user groups, user objectives, usage status, effects, results, and costs. For example, if the offering is a medical service, case information is stored; if it is an educational service, learning outcome information is stored; if it is a beauty service, treatment result information is stored; and if it is a consulting service, support performance information is stored. In addition, in the case of a product, usage case information is stored, and in the case of a system, implementation case information is also stored. 【0023】 ==Description of the Processing Unit== The embodiments of the present invention will be described in detail below with reference to the drawings. 【0024】The content acquisition unit 111 has the function of acquiring user information and content from the user. The content acquisition unit 111 acquires this information, for example, by receiving user information and content from the user terminal 3 via the network 2. The content acquisition unit 111 stores the acquired user information in the user information storage unit 131 and the content in the content storage unit 132. 【0025】 The content acquired by the content acquisition unit 111 may include, for example, content related to a user's transaction of an item, receiving the item, experiencing it, and including its effects and impressions. 【0026】 The content presentation unit 112 has the function of presenting the content acquired by the content acquisition unit 111 to the user terminal 3. 【0027】 The content presentation unit 112 may also be equipped with a function to accept various evaluations of the content. These evaluations may include empathy evaluations such as "likes," content quality evaluations (accuracy, clarity, usefulness, etc.), and value evaluations of the offerings (cost-effectiveness, satisfaction, etc.). Regarding "likes" in particular, the content presentation unit 112 may provide a variety of evaluation buttons, including a simple "like," as well as options such as "helpful," "agreeable," and "want to try," allowing users to select the intent and type of evaluation. Furthermore, the content presentation unit 112 may also allow users to cancel "likes," add reasons for evaluation, or simply provide a function for entering comments. 【0028】 The content display unit 112 also has a function to place transaction buttons and other elements on the content for performing transactional actions. These transaction buttons are implemented as interactive elements that allow users to perform various transactional actions, such as reserving, applying for, or purchasing items, as well as adding items to favorites or making inquiries. The content display unit 112 can automatically select and place transaction buttons that allow users to perform appropriate transactional actions depending on the type of content and the nature of the items being offered. Furthermore, the content display unit 112 can accept selection operations from the user's user terminal 3 and customize the design, size, and placement of the transaction buttons. 【0029】 In this embodiment, the offerings broadly include items that are the subject of the transaction, such as products and services. 【0030】 The term "product" includes all physical goods. Specifically, it refers to tangible goods such as cosmetics, pharmaceuticals, health foods, clothing, electrical appliances, and books. 【0031】 Services include intangible services such as hairdressing, beauty treatments, massage, counseling, consulting, educational services, and travel services. 【0032】 If the service is a medical procedure, it includes all services provided by medical institutions, such as medical examinations, tests, treatments, surgeries, medications, cosmetic procedures, and massages. 【0033】 Furthermore, transaction activities encompass a wide range of activities, including reservations, applications, and purchases of offerings. Reservations include, for example, appointments for medical consultations, beauty treatments, and restaurant visits. Applications include requests for information, quotes, membership registration, and service usage applications. Purchases include immediate purchases of products and services, subscription contracts, and license purchases. The content presentation unit 112 should provide an appropriate transaction flow according to the type of transaction activity through the transaction buttons. 【0034】 The content presentation unit 112 acquires information about the transaction performed via the transaction button and records it in the user information storage unit 131. The acquired information includes the type of transaction, the date and time of execution, the transaction amount, and whether the transaction was successful or not. This allows the user identification unit 113 to accurately identify the user who performed the transaction via specific content. 【0035】 The content display unit 112 can also link the transaction button to external payment systems and reservation systems via APIs and SDKs. This allows users to complete transactions directly within the content. Furthermore, the content display unit 112 can set display conditions and usage restrictions for the transaction button, for example, restricting its use in specific regions or time zones, or requiring age verification. 【0036】The user identification unit 113 has a function to hierarchically identify derived users, including the user who transmitted the content and the users who conducted transactions based on that content. The user identification unit 113 identifies the content transmitter as the first layer and the users who conducted transactions based on that content as the second layer. Furthermore, it identifies users who conducted transactions based on content transmitted by the second-layer users as the third layer, and so on, identifying users hierarchically thereafter. 【0037】 The related content management unit 114 has the function of hierarchically associating and managing content posted by derived users as related content. Based on the hierarchical structure identified by the user identification unit 113, the related content management unit 114 manages the relationships between content posted by each user. The related content management unit 114 also manages relationships including interaction information such as replies, quotes, reactions, and comments to a given piece of content. 【0038】 The related content management unit 114 manages the relationships between content from multiple perspectives. Types of relationships may include relationships through transactional activities, such as content posted by users who have viewed content and engaged in transactional activities; relationships based on explicit reference relationships, such as citations and shares within content; relationships based on content similarities, such as offerings and target audiences, as analyzed by the content nature analysis unit 116; and chronological relationships, such as posting and update history within a specific period. The related content management unit 114 may also use quantitative indicators such as the number of shares and the number of favorites of content as indicators of relationship. Furthermore, the related content management unit 114 may also use evaluations of other content cited within content (such as the number of likes, comments, and evaluation scores) as indicators of relationship. The related content management unit 114 may calculate the degree of relationship between content by evaluating these relationships individually or comprehensively, and may also enable the selection of effective content combinations for recommending offerings and generating advertisements by grouping content based on relationship. 【0039】The user analysis unit 115, for example, has a function to analyze user trends in trading behavior based on the relevance of related content. Based on information such as the user's past trading history and the content they viewed or pressed the trading button on during trading, the user analysis unit 115 analyzes the user's trading patterns and preferences, and assigns users to groups with similar trading patterns and preferences. 【0040】 The user trends analyzed by the User Analysis Unit 115 may include, but are not limited to, offers suitable for the user, offers preferred by the user, and advertisements and influencers that users are likely to respond to. The User Analysis Unit 115 can identify offers suitable for the user as offers that match the user's needs and challenges, based on the user's past content, transaction history, content viewing history, and content and user search history. The User Analysis Unit 115 can identify offers preferred by the user as offers that match the user's preferences and values, based on the nature of the user's content, content evaluation behavior, comments on content, and time spent on content. The User Analysis Unit 115 can identify advertisements and influencers that users are likely to respond to as advertising forms, influencers, and influencer segments that can effectively influence users, based on metrics such as the number and rate of transaction button clicks, ad clicks and rates, conversion numbers and rates, and engagement numbers and rates for the content that the advertisement or influencer publishes or appears in. 【0041】 The user analysis unit 115 may also analyze these trends over time to understand changes in users' interests and behavioral patterns. For example, the user analysis unit 115 may analyze changes in trends due to seasonality or time of day, changes in preferences associated with life events, and changes in the degree of influence from specific influencers. The user analysis unit 115 may also group users with similar tendencies and perform trend analysis on a group basis. This makes it possible for the server device 1 to recommend appropriate offerings and advertisements to new users based on the tendencies of similar users. 【0042】The content property analysis unit 116 has a function of analyzing the properties of content. As an example, the content property analysis unit 116 extracts keywords, topics, emotional expressions, etc. included in the content using natural language processing technology and image recognition technology, and qualitatively and quantitatively analyzes the characteristics of the content. Further, the content property analysis unit 116 may also analyze temporal characteristics such as the posting time zone and frequency of the content. 【0043】 The properties analyzed by the content property analysis unit 116 may include the reliability of the content, content characteristics, temporal characteristics, taste, etc. The analysis results of the properties may be used as input information for the trend analysis by the user analysis unit 115. Thereby, the user analysis unit 115 can perform a more detailed trend analysis, for example, users with a high degree of influence from highly reliable content, users who are likely to respond to content with a specific taste, etc. 【0044】 In the analysis of reliability, the content property analysis unit 116 may consider the number of related contents hierarchically organized in the content, the attributes of the content sender (such as authenticated accounts, past transaction records, SNS follower counts, etc.), the quality of the content (such as the accuracy of the text, verification of information, reliability of the citation source, etc.), evaluations from other users (such as evaluations from users, evaluations from experts, number of reports, etc.), etc. The content property analysis unit 116 evaluates the content based on at least any of these elements and calculates the reliability score of the content. 【0045】 In the analysis of content characteristics, the content property analysis unit 116 analyzes the elements included in the content in detail. Specifically, the content property analysis unit 116 may also analyze the types of products and services handled in the content, the people and items that appear, the ratio of text to image, and in the case of videos, the production method, etc. The content property analysis unit 116 may use image recognition technology and natural language processing technology to perform product identification, person detection, text density analysis, image composition analysis, etc. 【0046】In the analysis of temporal characteristics, the content property analysis unit 116 analyzes the length of the content, the posting timing, the update frequency, the seasonality, etc. In the case of video or audio content, the content property analysis unit 116 calculates the assumed reading time from the playback time, and in the case of text content, from the number of characters. It also analyzes the posting time zone, the freshness of the content, the update pattern, and the relationship with seasonality. As a result, the content property analysis unit 116 can predict the optimal distribution timing and the lifespan of the content. 【0047】 In the analysis of taste, the content property analysis unit 116 analyzes the impression and atmosphere created by the content. For example, the content property analysis unit 116 may evaluate the taste from various perspectives such as sophistication, casualness, formality, familiarity, and advancement using a model generated by a method such as machine learning. The content property analysis unit 116 may comprehensively analyze the font used, the color scheme, the tone of the image, the style of the language expression, etc., and quantify the taste. Also, the content property analysis unit 116 may set appropriate taste evaluation criteria for each industry and target audience layer and determine the suitability of the content. 【0048】 The content property analysis unit 116 may accumulate these analysis results in time series and also grasp the change trend of the properties. For example, it also analyzes the change in the taste of a specific sender or the change in the content trend across the industry. Also, the content property analysis unit 116 may analyze the correlation relationship between the properties and identify, for example, the common features of content with high reliability or the combination of tastes that are likely to obtain high engagement. 【0049】 The offering recommendation unit 117 has a function of recommending offerings that are the target of transaction actions to the user based on the trends analyzed by the user analysis unit 115. For example, the offering recommendation unit 117 uses a machine learning model to predict and recommend offerings that the user is likely to be interested in from the user's past transaction history and the characteristics of related content. Specifically, the offering recommendation unit 117 may present the content or advertisement introducing the offerings that the user is likely to be interested in to the user terminal 3. 【0050】 The product recommendation unit 117 can also recommend the optimal combination of products according to the user's situation and purpose. For example, the product recommendation unit 117 can recommend a package by presenting content or advertisements that introduce complementary products, such as pharmaceuticals related to medical procedures, care products related to cosmetic procedures, or teaching materials related to educational services, individually or in sequence on the user terminal 3, or by presenting content that introduces other related products on the transaction screen accessed by selecting a transaction button or advertisement placed on content introducing related products. Furthermore, since the characteristics of products and transaction conditions may change over time, the product recommendation unit 117 may periodically update the information and make recommendations based on the latest situation. 【0051】 The recommended offerings section 117 may generate a transaction button provided by the content, or a transaction screen that is presented after tapping an advertisement. 【0052】 The ad generation unit 118 has the function of generating ad content to present to users based on at least one of the trends analyzed by the user analysis unit 115 and the content characteristics analyzed by the content characteristics analysis unit 116. For example, the ad generation unit 118 may generate prompts containing information on the tendencies of users who are likely to respond to at least a certain offer, content of a certain nature, or a certain influencer, using, for example, natural language processing technology, input them into an image generation AI, and generate personalized ad content for users or user groups based on the output information. The ad content may include images, videos, audio, music, text, etc. Furthermore, the ad generation unit 118 may identify influencers who would be effective in distributing the ad content based on the tendencies of target users to whom the ad content is distributed, as analyzed by the user analysis unit 115, and recommend that these influencers distribute the ad content. 【0053】The case database generation unit 119 has the function of generating a case database based on case information such as the content of the offerings included in the content or related content, its effects, evaluation, and the trends of users who transmit, evaluate, or conduct transactions based on the content. The case database generated by the case database generation unit 119 is stored in the case information storage unit 135. 【0054】 The case database generation unit 119 combines the content characteristics analyzed by the content nature analysis unit 116 with case information stored in the case information storage unit 135 to construct a database that can determine the affinity between the offering and the user. For example, it is possible to generate case databases specialized for each field, such as examining treatment policies based on case studies in the medical field, selecting teaching materials according to the learner's level of understanding in the education field, and proposing treatment plans that meet customer requests in the beauty field. The case database generation unit 119 only needs to accept access to the case database from the user terminal 3 or the business terminal 4. 【0055】 The case database generation unit 119 hierarchically classifies case information and organizes it in a searchable format. The classification axes used by the case database generation unit 119 to classify case information may include a variety of perspectives, such as the type of offering, the attributes of the user who traded or evaluated the offering and their objectives, the effect of the offering on the user, and costs. Furthermore, the case database generation unit 119 may also analyze the similarity and relationships between cases and structure them to allow for easy referencing of similar and related cases. This makes it possible to support various decision-making processes, such as offering selection and customization, pricing, and risk assessment. 【0056】 The case database generation unit 119, for example, when creating a database of case information in the medical field, should generate a case database that can be referenced during counseling, etc., based on the characteristics of the content and case information. The case database generation unit 119 should combine the characteristics of the content analyzed by the content nature analysis unit 116 with the case information stored in the case information storage unit 135 to construct a database that can present cases suitable for the user's condition and requests. 【0057】 ==Processing Flow== The processing flow of the server device 1 of this embodiment will be explained using Figure 9. First, the content acquisition unit 111 acquires user information and content, and the content presentation unit 112 presents the content (S101). Next, the user identification unit 113 hierarchically identifies derived users (S102). The related content management unit 114 manages the content transmitted by derived users in association (S103). The content nature analysis unit 116 analyzes the nature of the content (S104), and the user analysis unit 115 analyzes trends in transaction activities (S105). Based on the analysis results, the offering recommendation unit 117 and the advertisement generation unit 118 generate various information and present it to the user or business operator (S106, S107). The case database generation unit 119 generates a case database (S108). 【0058】 ==Other Embodiments== 【0059】 An embodiment in the travel sector will be described. In this embodiment, for example, travelers who have posted content containing information about travel destinations and tourist spots are managed as the first layer, travelers who have actually visited based on that content are managed as the second layer, and travelers who have decided to visit after seeing content including the experiences of those travelers are managed as the third layer. The user identification unit 113 may track changes in the popularity of tourist spots and the process of forming tourist routes, and the related content management unit 114 may manage travel-related content such as travelogues, photos, videos, reviews, reservation information, and tourist routes in a hierarchical manner. 【0060】 In this embodiment of the travel sector, the content characteristics analysis unit 116 may analyze the characteristics of the travel content, such as the time of visit, length of stay, composition of travel companions, budget, means of transportation, accommodation, and weather conditions. In addition, scenery, buildings, food, and activities depicted in photos and videos included in the content may also be included in the analysis. Furthermore, the content characteristics analysis unit 116 may also analyze the attractiveness, accessibility, comfort, and cost-effectiveness of tourist spots based on travelers' impressions and evaluations included in the content. 【0061】Embodiments in the food and beverage sector are also valid. In this embodiment, users who post content including restaurant information and food photos are considered the first layer, users who actually visit the restaurant after seeing that content are considered the second layer, and users who decide to visit the restaurant after seeing content including reviews from those users are considered the third layer. The user identification unit 113 may also track the restaurant's customer acquisition patterns and the spread of popular menu items. The related content management unit 114 can manage food and beverage-related content such as food photos, menu information, reviews, reservation information, and rating scores in a hierarchical manner. 【0062】 In this case, the content characteristics analysis unit 116 should analyze the characteristics of the content, such as the genre of cuisine, price range, serving time, store atmosphere, service quality, seating type, and whether or not there are special menus. It should also analyze the visual appeal, volume, and presentation of the food photos included in the content. Furthermore, the content characteristics analysis unit 116 may also analyze the taste, service, cost performance, and intention to revisit based on user reviews included in the content. 【0063】 A characteristic feature of these embodiments is the strong correlation with temporal and geographical elements. For example, the evaluation of travel content changes significantly depending on the season and tourist season, and the usage of restaurant content fluctuates depending on the time of day and day of the week. Therefore, the related content management unit 114 makes associations while also considering these temporal and geographical contexts. In addition, the user analysis unit 115 performs trend analysis that takes these elements into account, and analyzes, for example, changes in popular spots from season to season and trends in food selection depending on the time of day. 【0064】 Furthermore, recommendations from the product recommendation unit 117 are particularly important in these areas. In the travel sector, the product recommendation unit 117 recommends combinations of tourist spots and accommodations that match the user's preferences and budget, and in the restaurant sector, it recommends restaurants and menus that suit the occasion and companions. Because the product recommendation unit 117 makes recommendations based on actual usage experiences and evaluations obtained from users at each level, it is possible to provide more reliable information. 【0065】 In this embodiment, the hierarchical structure may form a fan-shaped structure in which numerous second-tier content pieces are linked to first-tier content pieces. For example, many users may engage in transactions related to popular first-tier content pieces and then share their experiences and impressions as second-tier content pieces. 【0066】 In this fan-shaped hierarchical structure, the content nature analysis unit 116 analyzes the similarities and differences in nature between the first-tier content and the numerous second-tier content. For example, it analyzes how specific expressions or selling points of the first-tier content are perceived and changed in the second-tier content. It also extracts features that appear commonly across the numerous second-tier content, as well as features that appear individually, to analyze the characteristics of the influence of the first-tier content. 【0067】 The recommendation unit 117 recommends offerings that are likely to lead to the generation of more second-tier content, based on the analysis results of this fan-shaped hierarchical structure. For example, it prioritizes recommending offerings that easily elicit diverse experiences and opinions, and offerings that contain elements that increase users' motivation to share. It also recommends offerings that are expected to have a similar effect, taking into account the characteristics of offerings that have already generated a large amount of second-tier content. 【0068】 The ad generation unit 118 analyzes the generation patterns and characteristics of content in the second tier within a fan-shaped hierarchical structure, and generates ad content that promotes the generation of more derivative content. For example, it creates ad expressions that utilize evaluation points and testimonials that frequently appear in second-tier content, and constructs ad stories that combine content from multiple tiers. 【0069】The case database generation unit 119 efficiently classifies and organizes the diverse case studies obtained from the fan-shaped hierarchical structure, and constructs a case database that allows for a more accurate understanding of the effectiveness of the offerings and customer satisfaction. In particular, by managing multiple second-tier content derived from the same first-tier content in an associated manner, the database is created in a way that allows for detailed analysis of multifaceted evaluations of the offerings and differences in how they are perceived by different user groups. 【0070】 The related content management unit 114 prioritizes and manages related content from among numerous second-tier content pieces in a fan-shaped hierarchical structure, focusing on those with particularly high influence or distinctive perspectives. This creates a group of related content that more effectively complements and enhances the value of the first-tier content. 【0071】 ==Implementation in the Field of Treatment and Therapy== This embodiment is particularly effective in the fields of treatment and therapy, such as medicine, aesthetics, and beauty. In these fields, it is important to confirm the effects of treatment or therapy by comparing the condition before and after the treatment. 【0072】 When acquiring experience content from a user, the content acquisition unit 111 presents the user with predetermined requirements. These requirements include, for example, technical requirements such as the orientation and size of the subject to be captured, such as faces, in photos and videos included in the experience content, lighting conditions, and shooting angles; requirements for recording numerical data such as weight, body fat percentage, and subjective symptoms (physical condition, degree of pain, etc.); and requirements for writing text information such as the details of the treatment, impressions, and subjective symptoms (physical condition, degree of pain, etc.). The content acquisition unit 111 automatically evaluates the degree to which these requirements are met for the experience content entered by the user and acquires it only if it exceeds the standard value. 【0073】 For example, requirements for a face in a photograph may include that the entire face fits within a specified frame when photographed from the front, and that the face's tilt is within a certain angle. The content acquisition unit 111 uses image recognition technology to quantify and evaluate the degree to which these requirements are met. 【0074】The content display unit 112 displays information about the user's condition before and after treatment side by side, allowing for easy comparison. This condition information includes records of appearance through photographs and videos, numerical data such as weight and body fat percentage, and records of subjective symptoms and physical condition. In particular, the information about the user's condition at multiple points in time after treatment can be changed to information at a point in time specified by the user, allowing for confirmation of changes over time. At this time, the content display unit 112 may fix the image before treatment and replace it with the image after treatment at the user's selection, or it may fix the image at the first point in time after treatment and replace it with the image at the second point in time after treatment at the user's selection. 【0075】 The content display unit 112 has a function to correct images and other content to match the state information of one image or other content if the shooting conditions, resolution, ISO, etc., of the images and other content included in the experience content differ before and after the procedure or treatment. For example, when comparing photographs of images and other content included in the experience content that have different shooting distances, angles, and shooting conditions (brightness, resolution, ISO, etc.), the content display unit 112 corrects the size and orientation of faces, skin brightness, etc., through image processing so that they can be compared under similar conditions. 【0076】 An evaluation support unit 120 may be newly provided. The evaluation support unit 120 receives evaluations from users who have experienced the treatment and presents the results to other users. As an evaluation method, the evaluation support unit 120 presents the user terminal 3 with two options, such as "effective / not effective" or "satisfied / dissatisfied," and aggregates and displays the selection results obtained over a predetermined period in chronological order. This makes it possible to visualize the persistence of the effect and the changes in satisfaction levels. 【0077】 ==Coordination with each processing unit== The content nature analysis unit 116 analyzes the experiential content in terms of image and video quality (brightness, clarity, stability, etc.), accuracy of state information recording (consistency of measurements, completeness of records, etc.), level of detail of the experience (level of description of treatment details, progress observations, precautions, etc.), and objectivity of impressions and evaluations (description of specific effects, consistency with numerical data, etc.). 【0078】The user analysis unit 115 combines the user experience content and evaluation results to analyze trends such as the user's condition improvement patterns, treatment / therapy selection tendencies, continuity of follow-up and care, and factors influencing decisions regarding retreatment / re-procedure. The analysis results are used by the product recommendation unit 117 to propose the most suitable treatment / therapy. 【0079】 The product recommendation unit 117 makes recommendations based on the analysis results, such as treatment menus suitable for the user's initial condition, treatment plans corresponding to the expected degree of improvement, post-treatment care products and follow-up menus, and combination plans with a high success rate in similar cases. 【0080】 The ad generation unit 118 utilizes the experience content and evaluation results to generate effectiveness-focused ads using before / after comparisons, process-focused ads showing changes over time, reliability-focused ads utilizing evaluation statistics from multiple users, and story-based ads incorporating specific user feedback. 【0081】 The case database generation unit 119 accumulates case data from the experience content and evaluation results, including the relationship between the initial state and the degree of improvement, the combined effects of treatments and therapies, the duration of the effect and the time elapsed, the patterns of side effects and risks, and quantitative data on cost-effectiveness. 【0082】 The evaluation support unit 120 works in conjunction with these processing units to provide functions such as suggesting appropriate evaluation timing in response to changes in the user's condition, presenting expected values ​​based on comparisons with similar cases, optimizing evaluation items according to the progress of the procedure / treatment, statistical analysis of evaluation results and individual feedback, and providing advice for maintaining long-term effectiveness. 【0083】 For example, if the content nature analysis unit 116 determines that an experience content for a certain beauty treatment is of high quality, and the evaluation support unit 120 continuously collects positive evaluations, the product recommendation unit 117 will actively recommend the treatment to users in similar situations, and the advertising generation unit 118 will generate a persuasive advertisement utilizing that track record. 【0084】While preferred embodiments of the present disclosure have been described in detail above with reference to the attached drawings, the technical scope of the present disclosure is not limited to such examples. It is clear to any person with ordinary skill in the art of the present disclosure that various modifications or alterations may be conceived within the scope of the technical idea set forth in the claims, and these will naturally also fall within the technical scope of the present disclosure. 【0085】 The apparatus described herein may be implemented as a single device, or it may be implemented by multiple devices (e.g., cloud servers) that are partially or entirely connected by a network. For example, the CPU and storage device of server device 1 may be implemented by different servers that are connected to each other by a network. 【0086】 The series of processes performed by the apparatus described herein may be implemented using software, hardware, or a combination of software and hardware. Computer programs for implementing each function of the server device 1 according to this embodiment can be created and implemented on a PC or the like. Furthermore, a computer-readable recording medium containing such a computer program can also be provided. Examples of recording media include magnetic disks, optical disks, magneto-optical disks, and flash memory. Alternatively, the computer program may be distributed without using a recording medium, for example, via a network. 【0087】 Furthermore, the processes described herein do not necessarily have to be performed in the order described. Some processing steps may be performed in parallel. Additional processing steps may be employed, and some processing steps may be omitted. 【0088】 Furthermore, the effects described herein are merely descriptive or illustrative and not limiting. In other words, the technology relating to this disclosure may produce other effects that will be apparent to those skilled in the art from the description herein, in addition to or in lieu of the effects described herein. 【0089】1 Server device 2 Network 3 User terminal 101 CPU 102 Memory 103 Storage device 104 Communication interface 105 Input device 106 Output device 111 Content acquisition unit 112 Content presentation unit 113 User identification unit 114 Related content management unit 115 User analysis unit 116 Content nature analysis unit 117 Recommendation unit 118 Advertisement generation unit 119 Case database generation unit 131 User information storage unit 132 Content storage unit 133 Related content storage unit 134 User analysis result storage unit 135 Case information storage unit

Claims

1. An information processing device for managing user-generated content, comprising: a content acquisition unit that acquires user information and the content from a plurality of the users; a user identification unit that hierarchically identifies derived users, including the user who generated the content and the user who performed a transaction based on the content; a related content management unit that hierarchically associates and manages the content generated by the derived users as related content; and a user analysis unit that analyzes the user's tendencies in the transaction activities based on at least the relationships of the related content.

2. An information processing device according to claim 1, further comprising: a content nature analysis unit for analyzing the nature of the content, wherein the user analysis unit analyzes the user's tendencies in the transactional activities based on the relevance of the content and the nature of the content.

3. An information processing apparatus according to claim 1 or 2, further comprising: an offering recommendation unit that recommends offerings to the user that are the subject of the transaction based on the trend; 4. An information processing system according to claim 1 or 2, further comprising: an advertising generation unit that generates advertising content to be presented to the user based on the trend; and an information processing device.

5. An information processing apparatus according to claim 1 or 2, further comprising: a case information storage unit that stores case information contained in the content in association with the content; and a case database generation unit that generates a case database based on the features and the case information.

6. An information processing program for managing user-generated content, which causes a computer to execute: a content acquisition step of acquiring user information and the content from a plurality of the users; a user identification step of hierarchically identifying derived users, including the user who generated the content and the user who performed a transaction based on the content; a related content management step of hierarchically associating and managing the content generated by the derived users as related content; and a user analysis step of analyzing the user's tendencies in the transaction based on at least the relationships of the related content.

7. An information processing method for managing user-generated content, wherein a computer performs the following steps: a content acquisition step of acquiring user information and the content from a plurality of users; a user identification step of hierarchically identifying derived users, including the user who generated the content and the user who performed a transaction based on the content; a related content management step of hierarchically associating and managing the content generated by the derived users as related content; and a user analysis step of analyzing the user's tendencies in the transaction based on at least the relationships of the related content.

Images