Omnibearing content intelligent culture ecological system

Abstract

The invention belongs to the technical field of content creation, and particularly relates to a full-habitat content intelligent operation ecosystem, which comprises a user layer, an application layer, a data layer and a technical layer, and is characterized in that the user layer comprises a creator used for providing creation tools and resources for the content creator to perform content creation and issuing works on a platform; the enterprise user is used for enabling an enterprise with content marketing and brand promotion requirements to customize exclusive content through the platform, manage content marketing activities and cooperate with a creator; and the common user is used for enabling a consumer of the content to browse, read and watch various contents on the platform, and can interact with a creator and other users in the modes of liking, commenting and sharing. According to the method, four goals of improving creation efficiency, realizing personalized customization, promoting diversified innovation and optimizing distribution and propagation are clearly set, key links of a content creation ecosystem are comprehensively covered, and the development direction and core appeals are clarified.

Description

Technical Field

[0001] The present invention relates to the field of content creation technology, and specifically to an all-encompassing content intelligent creation ecosystem. Background Art

[0002] With the rapid development of the Internet and the increasing diversification of user needs, the traditional content creation model can no longer meet the market's requirements for efficiency, personalization and innovation.

[0003] Based on the above, the invention's all-in-one content intelligent ecosystem aims to use advanced artificial intelligence technology, big data analysis and collaborative creation mechanisms to build a comprehensive, intelligent and efficient content creation and distribution platform, providing a one-stop solution for content creators, enterprises and end users. Summary of the invention

[0004] To solve the above technical problems, according to one aspect of the present invention, the present invention provides the following technical solutions:

[0005] The all-in-one content intelligent ecosystem includes the user layer, application layer, data layer and technology layer. The user layer includes:

[0006] Creators: Provide content creators with tools and resources to create content and publish their works on the platform;

[0007] Enterprise users: Enterprises with content marketing and brand promotion needs can customize exclusive content, manage content marketing activities, and cooperate with creators through the platform;

[0008] Ordinary users, which enable content consumers to browse, read, and watch various types of content on the platform, and interact with creators and other users through likes, comments, and sharing;

[0009] The application layer includes:

[0010] Content creation module, which is used to provide various types of creation tools to meet the creation needs of different creators;

[0011] Content management module, which enables creators and enterprise users to manage their own content and supports the content review process to ensure that the content on the platform complies with relevant regulations and quality standards;

[0012] Content recommendation module, used to accurately recommend content of interest to users based on their behavior data;

[0013] Interactive social module, used for social interaction between users to enhance user stickiness and activity;

[0014] Data analysis platform, which is used to collect, organize and analyze various data on the platform, including user behavior data, content creation data, and content dissemination data, to provide data support and decision-making basis for creators, corporate users and platform operators;

[0015] The data layer includes:

[0016] User data module, used to store user's basic information, behavior data and interest preference data;

[0017] Content data module, used to store all content on the platform and its related attributes and quality rating data;

[0018] The material data module is used to collect and organize various creative materials for creators to use in the creative process;

[0019] Operational data module, used to record the platform's operational data, including user growth data, content publishing volume, traffic data, and revenue data;

[0020] The technical layer includes:

[0021] Artificial intelligence module, used to implement intelligent writing assistance, text classification, and sentiment analysis based on natural language processing technology, to implement intelligent processing of pictures and videos based on computer vision technology, and to implement user interest modeling, content recommendation, and quality assessment based on machine learning algorithms;

[0022] Big data module, which uses big data storage and processing technology to efficiently store, process, and analyze and mine massive amounts of data in real time;

[0023] The cloud computing module is used to use the cloud computing platform to provide elastic computing resources, storage resources, and network resources to ensure the high availability, scalability, and stability of the system. At the same time, it supports creators to create and edit content in the cloud without having to install a lot of software locally;

[0024] The security module is used to ensure the system data security and user information security through security technical means.

[0025] As a preferred solution of the all-in-one content intelligent creation ecosystem described in the present invention, the content creation module includes:

[0026] The intelligent writing assistant module is used to automatically check grammar and correct errors during the text creation process, provide synonyms and near-synonyms replacement suggestions, and intelligently recommend relevant words, sentences and paragraphs based on the context to help creators enrich their expressions. At the same time, based on topic analysis, it selects relevant cases, data, and news information materials from the material library for creators' reference;

[0027] The intelligent image editing module is used to support the intelligent image matting function. It automatically identifies the main object in the image through computer vision technology and performs image matting processing, provides intelligent filter recommendations, automatically matches suitable filter effects according to the content and style of the image, and has an image synthesis function. It intelligently splices and merges multiple images according to the needs of the creator to generate new images;

[0028] The intelligent video editing module is used to automatically identify key scenes and shots in video materials, quickly generate a video editing plan according to preset editing rules or the creative needs of users, and provides an intelligent voice-over function to add natural and fluent voice-overs to the video using speech synthesis technology.

[0029] As a preferred solution of the omnipotent content intelligent creation ecosystem described in the present invention, wherein: the content management module includes:

[0030] The storage module is used to store the own content of creators and enterprise users;

[0031] The content classification module is used to classify the own content of creators and enterprise users.

[0032] As a preferred solution of the omnipotent content intelligent creation ecosystem described in the present invention, wherein: the content management module further includes:

[0033] The permission setting module is used to set permissions for the own content of creators and enterprise users;

[0034] The encryption module is used to perform encryption operations on the own content of creators and enterprise users.

[0035] As a preferred solution of the omnipotent content intelligent creation ecosystem described in the present invention, wherein: the content management module further includes:

[0036] The content review process module is used to conduct multi-dimensional reviews on the content published by creators;

[0037] The quality assessment module is used to score and evaluate the content from multiple dimensions. The evaluation results will be used as an important basis for content recommendation, creator incentive, and platform resource allocation. For high-quality content, the platform gives more exposure opportunities and rewards. For low-quality content, creators are required to make modifications or the content is directly taken off the shelves.

[0038] As a preferred solution of the omnipotent content intelligent creation ecosystem described in the present invention, wherein: the content management module further includes:

[0039] The creator incentive and growth module is used to classify creators into different levels.

[0040] As a preferred solution of the all-in-one content intelligent creation ecosystem described in the present invention, wherein: the creator incentive and growth module includes:

[0041] Revenue sharing module, which is used to enable the platform to provide diversified revenue channels for creators, and creators can obtain corresponding revenue sharing according to the performance of their content on the platform. At the same time, for high-quality exclusive content, the platform gives creators additional rewards;

[0042] Creator level module, which is used to establish a creator level system. According to the creation ability, content quality, activity and contribution factors of creators on the platform, creators are divided into different levels. Creators at different levels enjoy different rights and resources, and they can improve their levels by continuously creating high-quality content and actively participating in platform activities;

[0043] Training and communication platform module, which is used to provide professional training courses and learning resources for creators to help them improve their creation skills and knowledge level. At the same time, a creator communication community is built to facilitate creators to exchange experiences, share creation insights and cooperate to carry out creation projects among themselves.

[0044] As a preferred solution of the all-in-one content intelligent creation ecosystem described in the present invention, wherein: the content recommendation module includes:

[0045] User portrait construction module, which is used to collect various behavior data of users on the platform and construct user portraits by using data analysis and machine learning algorithms. User portraits include the basic attributes, interests, consumption habits and behavior characteristics of users;

[0046] Personalized content recommendation module, which is used to accurately recommend content that meets the interest preferences of each user according to the user portrait and content characteristics by using recommendation algorithms. The recommended content includes existing high-quality content on the platform and personalized content creation solutions customized for them, which are created by creators and then pushed to users;

[0047] Custom content creation module, which is used to enable enterprise users or individual users to initiate content customization tasks on the platform according to their specific needs. The platform matches the most suitable creators or creation teams for content creation according to the task requirements.

[0048] Compared with the prior art:

[0049] 1. Clear and comprehensive goals: Clearly set the four major goals of improving creation efficiency, achieving personalized customization, promoting diversified innovation and optimizing distribution and dissemination, covering all key links of the content creation ecosystem in an all-round way, and clarifying the development direction and core demands;

[0050] 2. Reasonable system architecture design: from user layer, application layer, data layer to technical layer, the layers are clearly divided, the functions of each layer support each other, different types of users can be distinguished at the user layer, the rich functional modules of the application layer meet the needs of creation, management, recommendation, social interaction and data analysis, the data layer provides data support for each link, and the technical layer uses advanced technology to ensure the operation of the system;

[0051] 3. Functional modules are meticulously designed: the intelligent creation assistance function provides comprehensive support for different types of creations; the content personalization customization function forms a complete closed loop from user portrait construction to personalized content recommendation and customized creation; the content review and quality management function ensures content quality; the creator incentive and growth system function is conducive to the development of creators; the content distribution and dissemination function expands the content influence in multiple dimensions; taking the creator incentive and growth system as an example, the profit sharing, hierarchy system and training exchange platform can effectively stimulate the enthusiasm of creators and improve their creative level. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0053] In order to make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0054] The present invention provides a comprehensive content intelligent ecosystem, please refer to Figure 1 ;

[0055] Includes user layer, application layer, data layer and technical layer;

[0056] The user layer includes: creators, which are used to provide content creators with creation tools and resources to create content and publish works on the platform; corporate users, which are used to enable companies with content marketing and brand promotion needs to customize exclusive content through the platform, manage content marketing activities, and cooperate with creators; ordinary users, which are used to enable content consumers to browse, read, and watch various types of content on the platform, and interact with creators and other users through likes, comments, and sharing.

[0057] The application layer includes: a content creation module for providing various types of creation tools to meet the creation needs of different creators; a content management module for enabling creators and enterprise users to manage their own content, and at the same time, supporting the content review process to ensure that the content on the platform complies with relevant regulations and quality standards; a content recommendation module for accurately recommending content of interest to users based on user behavior data; an interactive social module for users to conduct social interactions, enhancing user stickiness and activity; a data analysis platform for collecting, organizing, and analyzing various data on the platform, including user behavior data, content creation data, and content dissemination data, providing data support and decision-making basis for creators, enterprise users, and platform operators.

[0058] The content creation module includes: an intelligent writing assistant module for automatically performing grammar checks and error corrections during text creation, providing suggestions for synonyms and near-synonyms replacement, and intelligently recommending relevant words, sentences, and paragraphs based on the context to help creators enrich their expressions. At the same time, based on topic analysis, it screens out relevant case, data, and news information materials from the material library for creators' reference; a picture intelligent editing module for supporting the intelligent image cropping function, automatically identifying the main object in the picture through computer vision technology and performing cropping processing, providing intelligent filter recommendations, automatically matching suitable filter effects according to the content and style of the picture, and having the function of picture synthesis, intelligently splicing and fusing multiple pictures according to the needs of the creator to generate new pictures; a video intelligent editing module for automatically identifying key scenes and shots in video materials, quickly generating video editing solutions according to preset editing rules or the creative needs of users, and providing an intelligent dubbing function to add natural and smooth dubbing to the video using speech synthesis technology.

[0059] The content management module includes: a storage module for storing the content of creators and enterprise users; a content classification module for classifying the content of creators and enterprise users; a permission setting module for setting permissions for the content of creators and enterprise users; an encryption module for encrypting the content of creators and enterprise users; a content review process module for conducting multi-dimensional reviews on the content published by creators; a quality assessment module for scoring and evaluating the content from multiple dimensions, and the assessment results will be used as an important basis for content recommendation, creator incentives, and platform resource allocation. For high-quality content, the platform gives more exposure opportunities and rewards, and for low-quality content, creators are required to make modifications or directly take it off the shelves.

[0060] The content management module also includes: a creator incentive and growth module for grading creators;

[0061] The creator incentive and growth module includes: a revenue sharing module, which is used to enable the platform to provide diversified revenue channels for creators, and creators can obtain corresponding revenue sharing according to the performance of their content on the platform. At the same time, for high-quality exclusive content, the platform gives creators additional rewards; a creator level module, which is used to establish a creator level system. According to the creation ability, content quality, activity level of creators and contribution factors on the platform, creators are divided into different levels, and creators at different levels enjoy different rights and resources. Creators can improve their levels by continuously creating high-quality content and actively participating in platform activities; a training and communication platform module, which is used to provide professional training courses and learning resources for creators to help them improve their creation skills and knowledge level. At the same time, a creator communication community is built to facilitate creators to exchange experiences, share creation insights and cooperate on creation projects with each other.

[0062] The content recommendation module includes: a user portrait construction module, which is used to collect various behavior data of users on the platform and construct user portraits by using data analysis and machine learning algorithms. User portraits include users' basic attributes, interests and hobbies, consumption habits and behavior characteristics; a personalized content recommendation module, which is used to accurately recommend content that meets the user's interest preferences for each user according to the user portrait and content characteristics by using recommendation algorithms. The recommended content includes existing high-quality content on the platform and a personalized content creation plan customized for the user, which is created by the creator and then pushed to the user; a customized content creation module, which is used to enable enterprise users or individual users to initiate content customization tasks on the platform according to their specific needs. The platform matches the most suitable creator or creation team for content creation according to the task requirements.

[0063] The data layer includes: a user data module, which is used to store users' basic information, behavior data and interest preference data; a content data module, which is used to store all content on the platform and related attribute and quality score data of the content; a material data module, which is used to collect and organize various creation materials for creators to use during the creation process; an operation data module, which is used to record the operation data of the platform, including user growth data, content release volume, traffic data and revenue data.

[0064] The technical layer includes: an artificial intelligence module, which is used to achieve intelligent writing assistance, text classification, and sentiment analysis according to natural language processing technology, to achieve intelligent processing of pictures and videos according to computer vision technology, and to achieve user interest modeling, content recommendation, and quality assessment according to machine learning algorithms; a big data module, which is used to efficiently store, real-time process, and analyze and mine massive data by adopting big data storage and processing technology; a cloud computing module, which is used to utilize a cloud computing platform to provide elastic computing resources, storage resources, and network resources to ensure the high availability, scalability, and stability of the system. At the same time, it supports creators to create and edit content in the cloud without installing a large number of software locally; a security module, which is used to ensure the data security of the system and the user information security through security technical means.

[0065] In specific use, the operation steps of those skilled in the art are as follows:

[0066] Step 1: First, the creator creates content by using the creation tools and resources provided to the content creator and publishes the work on the platform; then, enterprise users, i.e., enterprises with content marketing and brand promotion needs, customize exclusive content through the platform, manage content marketing activities, and cooperate with the creator; afterwards, ordinary users, i.e., consumers of content, browse, read, and watch various types of content on the platform and can interact with the creator and other users by means of liking, commenting, and sharing.

[0067] Step 2: During the text creation process, the intelligent writing assistant module automatically performs grammar checking and error correction, provides suggestions for replacing synonyms and near-synonyms, and intelligently recommends relevant words, sentences, and paragraphs based on the context to help the creator enrich their expression. At the same time, based on topic analysis, relevant case, data, and news material are selected from the material library for the creator's reference. Then, the intelligent image editing module supports the intelligent image cropping function, automatically identifies the main object in the image through computer vision technology and performs cropping processing, provides intelligent filter recommendations, automatically matches suitable filter effects according to the content and style of the image, and has the function of image synthesis, intelligently splicing and fusing multiple images according to the creator's needs to generate new images. After that, the intelligent video editing module automatically identifies the key scenes and shots in the video material, quickly generates a video editing plan according to the preset editing rules or the creator's creative needs, and provides an intelligent voice-over function, adding natural and fluent voice-overs to the video using speech synthesis technology; after creation, the storage module stores the creator's and enterprise users' own content. After storage, the content classification module classifies the creator's and enterprise users' own content. After classification, the permission setting module sets permissions for the creator's and enterprise users' own content. After setting, the encryption module encrypts the creator's and enterprise users' own content; among them, when the creator publishes content, the content review process module conducts multi-dimensional reviews on the content published by the creator. After review, the quality assessment module scores and evaluates the content from multiple dimensions, and the evaluation results will be used as an important basis for content recommendation, creator incentives, and platform resource allocation. For high-quality content, the platform gives more exposure opportunities and rewards. For low-quality content, the creator is required to make modifications or the content is directly taken off the shelves; in addition, the revenue sharing module enables the platform to provide diversified revenue channels for the creator, and the creator can obtain corresponding revenue sharing according to the performance of their content on the platform. At the same time, for high-quality exclusive content, the platform gives the creator additional rewards. After that, the creator level module establishes a creator level system, divides creators into different levels according to their creative ability, content quality, activity level, and contribution factors on the platform. Creators at different levels enjoy different rights and resources, and they can improve their levels by continuously creating high-quality content and actively participating in platform activities. Then, the training and communication platform module provides professional training courses and learning resources for the creator to help them improve their creative skills and knowledge level. At the same time, a creator communication community is built to facilitate creators to exchange experiences, share creative insights, and cooperate on creative projects;On the user side, the user portrait construction module will collect various behavioral data of users on the platform, and use data analysis and machine learning algorithms to construct user portraits. After the construction, the personalized content recommendation module will, based on the user portraits and content features, use recommendation algorithms to accurately recommend content that matches the interest preferences of each user. Then, the customized content creation module will enable enterprise users or individual users to initiate content customization tasks on the platform according to their specific needs. The platform will match the most suitable creators or creative teams for content creation according to the task requirements. Next, the interactive social module will enable social interactions among users, enhancing user stickiness and activity. In addition, the data analysis platform will collect, organize, and analyze various data on the platform to provide data support and decision-making basis for creators, enterprise users, and platform operators;

[0068] Step 3: The user data module stores the basic information, behavioral data, and interest preference data of users. Then, the content data module stores all the content on the platform, as well as the relevant attributes and quality score data of the content. Next, the material data module collects and organizes various creative materials for creators to use during the creation process. Then, the operation data module records the operation data of the platform;

[0069] Step 4: The artificial intelligence module first realizes intelligent writing assistance, text classification, and sentiment analysis according to natural language processing technology. Then, it realizes intelligent processing of pictures and videos according to computer vision technology. After that, it realizes user interest modeling, content recommendation, and quality evaluation according to machine learning algorithms. Then, the big data module adopts big data storage and processing technology to efficiently store, real-time process, and analyze and mine massive data. Next, the cloud computing module uses the cloud computing platform to provide elastic computing resources, storage resources, and network resources to ensure the high availability, scalability, and stability of the system. At the same time, it supports creators to create and edit content in the cloud without installing a large number of software locally. Then, the security module uses security technical means to ensure the data security of the system and the user information security.

[0070] Although the present invention has been described above with reference to the embodiments, various improvements can be made to it and its components can be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the disclosed embodiments of the present invention can be combined with each other in any way. The reason for not exhaustively describing the situations of these combinations in this specification is only to save space and resources. Therefore, the present invention is not limited to the specific embodiments disclosed in the text, but includes all technical solutions falling within the scope of the claims.

Claims

1. The all-in-one content intelligent production ecosystem, including a user layer, an application layer, a data layer, and a technology layer, is characterized in that, The user layer includes: Creators, who provide content creation tools and resources for content creators to create content and publish works on the platform; Enterprise users, who enable enterprises with content marketing and brand promotion needs to customize exclusive content through the platform, manage content marketing activities, and cooperate with creators; Ordinary users, who enable consumers of content to browse, read, and watch various types of content on the platform and can interact with creators and other users by liking, commenting, and sharing; The application layer includes: The content creation module, which provides various types of creation tools to meet the creation needs of different creators; The content management module, which enables creators and enterprise users to manage their own content. At the same time, it supports the content review process to ensure that the content on the platform complies with relevant regulations and quality standards; The content recommendation module, which accurately recommends content of interest to users based on their behavioral data; The interactive social module, which is used for social interaction among users to enhance user stickiness and activity; The data analysis platform, which collects, organizes, and analyzes various data on the platform, including user behavioral data, content creation data, and content dissemination data, to provide data support and decision-making basis for creators, enterprise users, and platform operators; The data layer includes; The user data module, which stores users' basic information, behavioral data, and interest preference data; The content data module, which stores all the content on the platform and the relevant attributes and quality scoring data of the content; The material data module, which collects and organizes various types of creation materials for creators to use during the creation process; The operation data module, which records the operation situation data of the platform, including user growth data, content release volume, traffic data, and revenue data; The technology layer includes: The artificial intelligence module, which realizes intelligent writing assistance, text classification, and sentiment analysis according to natural language processing technology, realizes intelligent processing of pictures and videos according to computer vision technology, and realizes user interest modeling, content recommendation, and quality assessment according to machine learning algorithms; The big data module, which uses big data storage and processing technologies to efficiently store, real-time process, and analyze and mine massive data; The cloud computing module, which uses the cloud computing platform to provide elastic computing resources, storage resources, and network resources to ensure the high availability, scalability, and stability of the system. At the same time, it supports creators to create and edit content in the cloud without installing a large number of software locally; The security module, which ensures the data security of the system and the user information security through security technical means.

2. The all-in-one content creation ecosystem according to claim 1, wherein, The content creation module includes: The intelligent writing assistant module, which automatically checks grammar and corrects errors during text creation, provides suggestions for synonyms and near-synonyms replacement, intelligently recommends relevant words, sentences, and paragraphs according to the context to help creators enrich their expressions. At the same time, based on theme analysis, it screens out relevant case, data, and news information materials from the material library for creators to refer to; The intelligent image editing module is used to support the intelligent image matting function. It automatically identifies the main objects in the image through computer vision technology and performs image matting processing, provides intelligent filter recommendations, automatically matches suitable filter effects according to the content and style of the image, and has an image synthesis function. It intelligently stitches and blends multiple images according to the needs of the creator to generate new images; The intelligent video editing module is used to automatically identify key scenes and shots in video materials, quickly generate video editing plans according to preset editing rules or the creative needs of users, and provide an intelligent dubbing function, using speech synthesis technology to add natural and smooth dubbing to the video.

3. The all-inclusive content creation ecosystem according to claim 1, characterized in that, The content management module includes: The storage module is used to store the self-created content of creators and enterprise users; The content classification module is used to classify the self-created content of creators and enterprise users.

4. The all-inclusive content intelligent production ecosystem according to claim 3, characterized in that, The content management module further includes: The permission setting module is used to set permissions for the self-created content of creators and enterprise users; The encryption module is used to perform encryption operations on the self-created content of creators and enterprise users.

5. The omnivorous content creation ecosystem according to claim 4, characterized in that, The content management module further includes: The content review process module is used to conduct multi-dimensional reviews on the content published by creators; The quality assessment module is used to score and evaluate the content from multiple dimensions. The evaluation results will be used as an important basis for content recommendation, creator incentive, and platform resource allocation. For high-quality content, the platform gives more exposure opportunities and rewards. For low-quality content, creators are required to modify it or directly take it off the shelves.

6. The all-inclusive content intelligent production ecosystem according to claim 5, characterized in that, The content management module further includes: The creator incentive and growth module is used to classify creators into different levels.

7. The omnivorous content creation ecosystem according to claim 6, characterized in that The creator incentive and growth module includes: The revenue sharing module is used to enable the platform to provide diversified revenue channels for creators, and creators can obtain corresponding revenue sharing according to the performance of their content on the platform. At the same time, for high-quality exclusive content, the platform gives additional rewards to creators; The creator level module is used to establish a creator level system. According to the creative ability, content quality, activity level of creators, and contribution factors on the platform, creators are divided into different levels. Creators at different levels enjoy different rights and resources, and they can improve their levels by continuously creating high-quality content and actively participating in platform activities; The training and communication platform module is used to provide professional training courses and learning resources for creators to help them improve their creative skills and knowledge level. At the same time, it builds a creator communication community to facilitate creators to exchange experiences, share creative insights, and cooperate on creative projects.

8. The all-inclusive content creation ecosystem according to claim 1, characterized in that, The content recommendation module includes: The user portrait construction module is used to collect various behavioral data of users on the platform, and uses data analysis and machine learning algorithms to construct user portraits. User portraits include the basic attributes, interests and hobbies, consumption habits, and behavioral characteristics of users; The personalized content recommendation module is used to accurately recommend content that matches the user's interest preferences for each user according to the user profile and content characteristics. The recommended content includes high-quality existing content on the platform and a personalized content creation plan customized for the user, which is created by the creator and then pushed to the user. The customized content creation module enables enterprise users or individual users to initiate content customization tasks on the platform according to their specific needs. The platform matches the most suitable creator or creative team for content creation according to the task requirements.

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