19 results about "User-generated content" patented technology

This invention discloses a user-generated content sharing system with fine-grained access control, specifically relating to the field of user-generated content sharing and data access control. It includes an end-to-end sharing module for writing published user-generated content into fragment identifiers based on text segments, image objects, and attachment objects, attaching the initial receiving scope and initial re-sharing action to the fragment identifiers, and generating an original shared copy. This invention solves the problem in existing technologies where, when receiving user-generated content, it is impossible to limit the content segments that can be brought out, the receiving object scope, and the re-sharing action based on the current shared copy by splitting user-generated content into fragments and generating an original shared copy.

The application discloses a virtual resource allocation method and device, electronic equipment and a computer readable storage medium. The method comprises: obtaining target content published by a content creation object on a user generated content (UGC) platform and cumulative virtual resources of the target content within a set period; calculating a contribution value of each content participant and a total contribution value of the content participant for the target content within the set period, wherein the content participant comprises the content creation object, a content propagation object and a content interaction object, and the contribution value is used to measure the behavior contribution degree of the corresponding content participant in the propagation and interaction of the target content; and allocating the cumulative virtual resources to each content participant based on the total contribution value and the contribution value of each content participant. The application can enable each type of content participant to obtain a reward matching the behavior contribution degree, thereby guaranteeing the sustainable vitality and value co-creation vitality of the UGC ecology.

A computing system can obtain health record data of a user from a number of health record sources, and determine a health profile of the user based on the health record data. The system can then generate content for the user based on the health profile, wherein the content includes content items from published journals and articles.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes generative interface panel used to access a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

A system may be configured to: receive, via user interaction with a user interface, content and a user request to generate a content summary of the content, wherein the user request specifies the content summary is to be generated according to a categorical description, generate, via a soft-prompt generator, a first soft prompt based on the request and one or more tokens, generate, via a summary generator, a categorical description output based on the first soft prompt and the content, generate, via the soft-prompt generator, a second soft prompt based on the categorical description output and the one or more tokens, transmit the second soft prompt to the summary generator; and generate, via the summary generator, the content summary based on the second soft prompt and the content.

A method of audio processing includes receiving user-generated content having two audio sources, extracting audio objects and a residual signal, adjusting the audio objects and the residual signal according to the listener's head movements, and mixing the adjusted audio signals to generate a binaural audio signal. In this manner, the binaural signal adjusts according to the listener's head movements without requiring perfect audio objects.

The application discloses a traditional Chinese medicine diet therapy community UGC personalized recommendation method based on user traditional Chinese medicine constitution, and relates to the technical field of big data mining. The method comprises the following steps: obtaining a constitution vector and a keyword text; obtaining a retrieval vector based on the keyword text; obtaining a deviation coefficient based on the constitution vector and the retrieval vector; obtaining recommendation scores of a plurality of target contents based on the deviation coefficient; and performing sorting recommendation on each target content based on each recommendation score. The application breaks through the limitation that traditional recommendation only depends on keyword semantic similarity, and integrates traditional Chinese medicine constitution core adaptation factors throughout the whole recommendation process, thereby significantly improving the personalization and accuracy of UGC content recommendation, guaranteeing the safety and effectiveness of diet therapy regulation, fully utilizing community UGC resources to meet the differentiated needs of users, and effectively solving the problem of insufficient recommendation accuracy in the prior art.

Implementations of the present disclosure include actions of receiving a search query, identifying potential search results responsive to the search query, the potential search results corresponding to digital content stored in one or more computer-readable storage media, determining that the potential search results include user-generated content that is generated using one or more computer-implemented social services, receiving data associated with the user-generated content, the data including one or more scores, determining, based on the one or more scores, that the user-generated content is to be provided as a search result, generating search results, the search results including web-based search results and at least a portion of the user-generated content, and transmitting the search results to a client computing device for display to the searching user.

The application discloses a user demand acquisition method, and relates to the fields of text recognition and user management. The method comprises the following steps: acquiring user generated content (UGC) text of a target data source; determining the text type of the UGC text by using a text classification model; wherein the text type comprises demand text, and the demand text describes a task to be completed by a user; if the UGC text is determined as the demand text by the text classification model, providing the demand text to a text generation model, so that the text generation model extracts task information corresponding to the demand text, and outputs a task object based on a specified sentence pattern and the task information. The technical scheme of the embodiment of the application not only realizes automatic classification of the UGC text, ensures screening and acquisition of the demand text in the UGC text, but also realizes extraction of task information and output of a structured task object, ensures the completeness and accuracy of the user demand acquisition result, and improves the acquisition efficiency of the user demand.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Methods, systems, and media for identifying abusive content items are provided. In some embodiments, the method comprises: receiving, at a server from a user device associated with a user, a request to provide user-generated content on a media content platform; in response to receiving the request, determining whether the user-generated content is to be reviewed by one or more reviewing users based on one or more bypass criterion; in response to determining that the user-generated content is to be reviewed based on the one or more bypass criterion, adding a review request to a queue of a reviewing user, wherein the review request includes the user-generated content and information associated with a user account corresponding to the user; and determining whether a decision responsive to the review request indicates that the user-generated content is to be provided on the media content platform, wherein: in response to determining that the decision indicates that the user-generated content item violates at least one policy associated with the media content platform, (i) a first message is transmitted to the user of the user device that indicates the at least one violated policy and a penalty to be administered to the user account corresponding to the user and (ii) a corresponding action is taken that inhibits the user-generated content from being provided on the media content platform; and in response to determining that the decision indicates that the user-generated content item does not violate the at least one policy associated with the media content platform, a second message is transmitted to the user of the user device that indicates that the user-generated content is eligible for providing on the media content platform.

This invention discloses a method and system for user-generated content files based on object clusters. The method constructs a tree-like object cluster by defining object hierarchical relationships, generating a unique identifier for each object based on a hierarchical path. During serialization, objects are topologically sorted, data is automatically collected using reflection, and memory references are converted into path identifiers for storage. Simultaneously, an external asset dependency list is generated. During deserialization, assets are preloaded according to the dependency list, objects are instantiated sequentially, and the parent-child hierarchical structure is reconstructed. Finally, the path identifiers are parsed to restore object references. This invention supports dynamically partitioning object clusters to achieve multi-user collaborative editing and file isolation. It adapts to new objects without requiring the writing of specific types of code, effectively solving problems related to data persistence, reference loss, and collaboration conflicts under complex object associations, thus improving the stability and scalability of the user-generated content system.

Methods and systems for smart buttons for automation rules in collaboration platforms are described. The method may include, causing display of a frontend including an editor displaying user-generated content of an electronic document hosted by a first collaboration platform. In response to a text-command input provided to the editor at a particular location within the electronic document, a set of graphical user elements may be displayed in the frontend, each graphical user element corresponding to a respective configurable automation rule template of a set of configurable automation rule templates. A user then selects a graphical user element of the set of graphical user elements, one of which is displayed within the electronic document. When the button element is selected, the automation rule is executed to perform an action of the automation rule on an object of the collaboration system.

This application provides an image recognition method, apparatus, electronic device, and storage medium. The method includes: calculating a similarity value between text data in multimodal data and image data in multimodal data; identifying modifications to the image data to obtain a modification result; and identifying the category of the image data based on the similarity value and the modification result. The categories of the image data include: AIGC (Artificial Intelligence Generated Content) images, UGC (User Generated Content) images, and original captured images. In the implementation of the above scheme, by calculating the similarity value between text data and image data in multimodal data, and determining the category of the image data based on the similarity value and the modification result of the image data, the accuracy of image recognition based on the modification result of the image data is improved, effectively utilizing the similarity value between text data and image data to improve the accuracy of image recognition.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

A content generation method and apparatus, and a device and a storage medium, which relate to the technical field of computers. The method comprises: displaying a virtual character and at least one action option corresponding to the virtual character (210); in response to an operation of selecting a first action option among the at least one action option, controlling the virtual character to execute a first action, and displaying an action frame selection control (220); in response to an operation on the action frame selection control, using an action frame corresponding to a target scale in a selected state within the action frame selection control as a selected action frame, and displaying the selected action frame (230); and in response to an operation on the selected action frame, generating user-generated content on the basis of the selected action frame (240). The embodiments of the present application can effectively improve the efficiency in the generation of user-generated content.