Patents
Literature
134 results about "User-generated content" patented technology
Efficacy Topic
Property
Owner
Technical Advancement
Application Domain
Technology Topic
Technology Field Word
Patent Country/Region
Patent Type
Patent Status
Application Year
Inventor
User-generated content (UGC), alternatively known as user-created content (UCC), is any form of content, such as images, videos, text and audio, that have been posted by users on online platforms such as social media and wikis. The term "user-generated content" and the concept it refers to entered mainstream usage in the mid-2000s, having arisen in web publishing and new media content production circles. The BBC adopted a user-generated content platform for its websites in 2005, and TIME Magazine named "You" as the Person of the Year in 2006, referring to the rise in the production of UGC on Web 2.0 platforms. CNN also invested in developed a similar user generated content platform, known as iReport. There are several other examples of news channels implementing similar protocols, especially in the immediate aftermath of a catastrophe or terrorist attack. Social media users are able to provide key eyewitness content and information that may otherwise have been inaccessible. Due to new media and technology affordances, such as low cost and low barriers to entry, the Internet is an easy platform to create and dispense user generated content , allowing the dissemination of information at a rapid pace in the wake an event taking place. However, UGC is not solely limited to mainstream news or media.
Automatic techniques for constructing an evolving interest taxonomy from user-generated content
ActiveUS20250258878A1Digital data information retrievalSpecial data processing applicationsUser-generated contentData mining
Techniques for creating an interest graph include obtaining content items from multiple content sources and applying tailored (e.g., source-specific) preprocessing to the content items based on their respective content source. Text is extracted and salient keywords and key phrases are identified using unsupervised machine learning models. The keywords and key phrases become nodes in an interest graph, each node comprising an embedding of a keyword or key phrase in a common embedding space, with edges representing semantic similarity based on embeddings or co-engagement patterns. The graph provides an expansive, granular, and dynamic taxonomy easily adaptable to emerging interests. The interest graph overcomes limitations of conventional taxonomies that lack depth, fail to capture niche interests, and cannot adapt to reflect evolving user preferences. The described techniques construct a rich interest graph from diverse content for improved content understanding.
Owner:SNAP INC
Machine learning pipeline for content selection
Embodiments of a content recommendation or selection system are described. The system uses a pipeline of machine learning models to select content for a user. In embodiments, a first user model generates a first score of content categories for the user based on short-term user data. A second user model generates a second score of the categories for the user based on long-term user data. The two scores are combined to select the categories to include on the content user interface. In embodiments, new categories are added to the recommendations based on an exploration-exploitation algorithm. In embodiments, content categories are organized on the user interface in a manner to promote neighborhood diversity. Advantageously, the machine learning pipeline enables independent configurability of various objectives of the content recommendation or selection system and reduces the amount of machine learning resources needed to implement the system.
Owner:AMAZON TECH INC
User generated content identification method and device, electronic equipment and storage medium
PendingCN121256025ASpecial data processing applicationsText database clustering/classificationUser-generated contentPlagiarism detection
The embodiment of the invention provides a user generated content identification method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a multi-modal feature of a target work to be identified; based on the multi-modal features of the target works, a candidate work set with the similarity meeting a preset condition is retrieved from a pre-constructed multi-modal feature library, the multi-modal feature library comprises multi-modal features of historical works, the works comprise images containing user generated content, and the multi-modal features comprise fusion of visual features and semantic features of the works; screening out a reference work with a preset interaction behavior from the candidate work set; obtaining a difference degree influence factor between the target work and the reference work; and determining the originality of the target work based on the similarity and difference influence factors of the target work and the reference work. According to the UGC plagiarism detection method, the multi-modal vector database of image and decal semantic fusion is constructed, and multiple difference influence factors are introduced for comprehensive judgment, so that the accuracy and the processing efficiency of UGC plagiarism detection are remarkably improved, and the problem of missing detection of a traditional method in a light false change and local shielding scene is solved.
Owner:NETEASE (HANGZHOU) NETWORK CO LTD
Methods, apparatus and systems for user generated content capture and adaptive rendering
Methods of processing audio data relating to user generated content are described. One method includes obtaining the audio data; applying frame-wise audio enhancement to the audio data; generating metadata for the enhanced audio data, based on one or more processing parameters of the frame-wise audio enhancement; and outputting the enhanced audio data together with the metadata. Another method includes obtaining the audio data and metadata for the audio data, wherein the metadata comprises first metadata indicative of one or more processing parameters of a previous frame-wise audio enhancement of the audio data; applying restore processing to the audio data, using the one or more processing parameters, to at least partially reverse the previous frame-wise audio enhancement; and applying frame-wise audio enhancement or editing processing to the restored raw audio data. Further described are corresponding apparatus, programs, and computer-readable storage media.
Owner:DOLBY LABORATORIES LICENSING CORP
Optimizing Content Item Compression for Adaptive Bitrate Streaming of User Generated Content
PendingUS20260006269A1Electronic editing digitised analogue information signalsSelective content distributionUser-generated contentEngineering
Systems and methods are disclosed for generating an adaptive bitrate ladder for a content item based on the actual quality of the content item. A user uploaded content item is determined to have different quality scores in different time portions of the content item, where the quality score is based on an analysis of visual characteristics of frames of the content item. In response, an adaptive bitrate ladder (ABR) is generated for each time portion which contains a set of bitrates based on the quality score.
Owner:ADEIA GUIDES INC
User generated content popularity prediction method based on retrieval enhancement prediction
ActiveCN120763406ADigital data information retrievalKnowledge representationInformation dispersalUser-generated content
The invention is suitable for the technical field of information propagation prediction, and provides a user generated content popularity prediction method based on retrieval enhancement prediction. According to the method, a user generated content (UGC) knowledge vector library is constructed, a retrieval enhanced prediction (RAP) method is designed, and a dual-path retrieval, high-speed recall and retrieval content decoupling noise reduction architecture is adopted, so that the performance bottleneck problem of existing UGC popularity prediction is effectively solved. Wherein the two-way retrieval and rearrangement recall architecture solves the problem of long text characterization deviation; a decoupling noise reduction method for dynamically adjusting a feature fusion weight according to confidence in the downstream deep learning network module solves the problem of retrieval noise interference; the overall architecture design overcomes the strong coupling defect of the model, so that the model can adapt to dynamic updating of the retrieval library, and the universality and generalization ability are improved.
Owner:JILIN UNIVERSITY
Game event recognition for user generated content
Automated detection of events in content can be performed using regions of information associated with various user interface or display elements. Certain elements can be indicative of a type of event, and regions associated with these elements can be analyzed on a per-frame basis. If one of these primary regions shows a state or transition that is indicative of one of these events, one or more secondary regions can be analyzed as well to attempt to verify whether that event occurred, as well as whether that event qualifies for selection for additional use. Selected events can be used for purposes such as to generate highlight montages, training videos, or user profiles. These events may be positioned at different layers of an event hierarchy, where child regions are only analyzed for frames where a parent region is indicative of a type of event.
Owner:NVIDIA CORP
Information marketplace system including a video monetization service and a social networking platform
InactiveUS20250247583A1Discounts/incentivesSelective content distributionInternet privacyUser-generated content
The present disclosure is directed towards implementing a video monetization service into a social networking platform to form an information marketplace, enabling users to monetize information and digital content. A creator of a user generated content can configure the user generated content to his / her user preference and invite as many participants, e.g., all associations, a limited group of associations, including just one association, or other social media users in general. The associations may be followers, circles, friends, connections, or any other form of association.
Owner:PARKER JOSHUA +2
Demand mining method and device, equipment and medium
PendingCN121683787ASemantic analysisEnergy efficient computingCluster algorithmUser-generated content
The invention discloses a demand mining method and device, equipment and a medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining multi-source user generated content data; based on a preset semantic analysis model, performing scene element extraction operation on the multi-source user generated content data to obtain a structured scene element set; performing scene aggregation operation on the structured scene element set based on a preset clustering algorithm to generate a scene cluster set; performing quantization processing operation on the scene cluster set, and determining a demand priority sequence; and generating a demand mining result based on the demand priority sequence. According to the method and the device, an automatic processing process from original user feedback to structured requirements is constructed, and the efficiency of requirement mining is improved. Through a data-driven analysis process, manual intervention and subjective deviation in a traditional method are reduced, so that demand identification is more objective and comprehensive, and data support is provided for product planning and function design.
Owner:VOYAH AUTOMOBILE TECH CO LTD
Computing device and method for displaying widget content including image of user generated content
PendingUS20250377907A1Execution for user interfacesInput/output processes for data processingInformation processingApplication server
A computing device is provided, including processing circuitry configured to cause a widget to be displayed on a home screen GUI of an operating system of the computing device. The processing circuitry is further configured to obtain location information of a current location of the computing device, and send a request to download widget content from a widget content API of a widget application server of a social media platform, where the request includes the location information. The processing circuitry is further configured to receive the widget content from the widget application server, the widget content including an image of user generated content available on the social media platform that is linked to that user generated content that can be posted on the social medial platform. The processing circuitry is further configured to display the widget content in the widget on the home screen GUI.
Owner:LEMON INC(GB)
Automated content creation and content services for collaboration platforms
ActiveUS12393621B2Natural language translationNatural language analysisStructured contentUser-generated content
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.
Owner:ATLASSIAN PTY LTD +1
Automated content creation and content services for collaboration platforms
ActiveUS12536210B2Natural language translationNatural language analysisStructured contentUser-generated content
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.
Owner:ATLASSIAN PTY LTD +1
Dynamic display of user content
Systems and methods are disclosed for implementing a system to dynamically display user content. In certain embodiments, a method may comprise displaying, via a streaming service, an actionable content element at a display of a first public venue, the actionable content element directing a user device to a service for uploading user generated content (UGC). The method may further comprise receiving the UGC at the streaming service, and displaying the UGC at a screen of a selected public venue.
Owner:ATMOSPHERE TV
Multi-party cross-platform query and content creation service and interface for collaboration platforms
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 generative interface panel having multiple automated assistant services. Each assistant service may 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.
Owner:ATLASSIAN PTY LTD
Automatic detection and control method and system for false information and comments based on large model and fine tuning
The invention discloses an automatic detection and control method and system for false information and comments based on a large model and fine tuning, and the method comprises the steps: improving the detection accuracy of the false information through multi-modal feature fusion and a low-rank adaptive fine tuning technology, and combining text context features, image semantic information and an external knowledge base; complex false information implying logic conflicts or factual conflicts can be effectively identified; a low-rank matrix fine tuning method is adopted to optimize large language model parameters, and the ability to discriminate Chinese false information is enhanced while the general ability is reserved. According to the method, full-process quick response is realized through an automatic processing mechanism, the manual auditing cost is remarkably reduced, and the modular design supports flexible expansion to different social media platforms. The risk level is dynamically labeled, and local shielding and propagation restraint are realized by simulating user behaviors for a platform without a public interface. The whole scheme realizes technical breakthrough in detection precision, processing efficiency and system expansibility, and provides support for large-scale user generation content management.
Owner:HANGZHOU SHUYU ZHIHUI TECHNOLOGY DEVELOPMENT CO LTD
Categorized favorite food social network
Computer-implemented methods, systems, and computer-readable media for a categorized favorite food user generated content / social network are described.
Owner:PATTERSON SHAWN
Methods and systems for enhancing user-generated content
ActiveUS20250285649A1Television system detailsElectronic editing digitised analogue information signalsUser deviceUser-generated content
User-generated content is received from multiple user devices, including first content recorded by a first user device during a first time interval and second content recorded by a second user device during a second time interval. If the second time interval immediately precedes, or immediately follows, the first time interval, then at least a portion of the second content may be appended to the first content. For example, if a user ends recording of the first content before an interesting event occurs, then a portion of the second content may be appended to the first content so that the user has a recording including the missed event. The second content may be selected based on a location, and / or a field of view of the second user device during the second time interval being similar to that of the first user device during the first time interval.
Owner:ADEIA GUIDES INC
Media generating system and method with user generated content
PendingUS20260126891A1Electronic editing digitised analogue information signalsAnalogue secracy/subscription systemsUser-generated contentMediaFLO
Owner:SCENEPLAY
User-generated content sharing system with fine-grained permission control
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.
Owner:SHANGHAI XIANGYUE JIANGFENG DIGITAL TECHNOLOGY CO LTD
Two-channel feature fusion Chinese sentiment analysis method based on self-attention mechanism
The invention discloses a two-channel feature fusion Chinese sentiment analysis method based on a self-attention mechanism, and the method comprises the steps: carrying out the coding expression of a sentiment text through employing a character as a basic unit, and obtaining a character level and a corresponding text level embedding vector; constructing a two-channel feature extraction architecture, extracting local semantic information by using CNN, and extracting global semantic information by using LSTM; a self-attention mechanism is introduced on the basis of dual-channel feature output, and features of different positions in the text are endowed with different weights; the extracted features are spliced and classified through a full connection layer, and an analysis result is output. According to the method, through character-level modeling and a multi-scale feature extraction structure, the multi-context adaptive capacity and sentiment analysis capacity of sentiment analysis are improved, a self-attention mechanism is introduced to endow the model with the attention capacity on key semantic words, the recognition capacity on different contexts and rhetorical structures is enhanced, and the recognition efficiency is improved. The method can be widely applied to emotion polarity rapid identification tasks of scenes such as social platforms and user generated content analysis.
Owner:XIAN UNIV OF TECH
Virtual resource allocation method and apparatus, electronic device, and storage medium
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.
Owner:MINI CREATIVE TECH (SHENZHEN) CO LTD
Value-adding method, value-adding program, and value-adding system
The present invention aims to provide a provisional value imparting method, a value imparting program, and a value imparting system that can reduce disadvantages to a user even when the expiration date of the value arrives. [Solution] The expiration date (expiration date) of a specified value (points) granted for the purchase of content (UGC) in which a production-involved user (creator) was involved in creating is managed separately from the expiration date (expiration date) of a specific value (coins) used within the virtual space, and by changing the specified value (points) to a specific value (coins), it is possible to effectively extend the expiration date (expiration date), and if the specified value (points) are not used by the expiration date (expiration date) of the specified value (points), the specified value (points) is automatically changed to the specific value (coins).
Owner:COVER CORP
User generated content intelligent construction and full-link monitoring attribution method and system
The invention provides a user generated content intelligent construction and full-link monitoring attribution method and system, and relates to the technical field of data processing, and the method comprises the steps: receiving an access request sent by a user terminal through executing a corresponding operation on an interaction medium; analyzing the access request to obtain attribution information; obtaining a target image-text note based on the attribution information, packaging the target image-text note into a calling instruction of the target application program, and sending the calling instruction to the user terminal; the calling instruction is used for enabling the user terminal to automatically start a target application program and pre-filling a content publishing interface of the user terminal with the target image-text note; and monitoring propagation condition data after the target image-text note is published in the target application program on time, analyzing the propagation condition data, and associating an analysis result with the attribution information to generate an attribution analysis report. The user participation threshold can be reduced, the spreading range of the user generated content is expanded, and the problem of data islands is solved.
Owner:HAOLIANG TECH (SHENZHEN) CO LTD
Generation of highlight reel from stored user generated content for a user specified time period
A method including receiving a request for a highlight reel of a video game, wherein the request includes a story class for the highlight reel, wherein the video game includes a plurality of playable events that are predefined, wherein the plurality of playable events are configured in an arc order consistent with a story arc of the video game. The method including selecting one or more playable events from the plurality of playable events to architect a mini story arc for the highlight reel based on the story class. The method including accessing a plurality of clips corresponding with the one or more playable events that are selected for the mini story arc. The method including generating the highlight reel based on the plurality of clips that follows the mini story arc that is architected with the one or more playable events.
Owner:SONY INTERACTIVE ENTERTAINMENT LLC
Systems and methods for user-generated content with machine-generated metadata
ActiveUS12450903B2Digital data information retrievalCharacter and pattern recognitionInformation sharingUser-generated content
A method of assisting video information sharing includes, at a server computer, obtaining a comparison video including a plurality of frames from a social media platform and determining a presence of at least one event in the comparison video. The method further includes obtaining social media metrics for the comparison video from the social media platform and evaluating a description of the comparison video. The method further includes identifying at least one descriptor in the description correlated to the at least event in the comparison video and recording the descriptor in an application module.
Owner:MICROSOFT TECHNOLOGY LICENSING LLC
Personalized Health Content For Users
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.
Owner:HEALTHLINE MEDIA INC
Methods and systems for enhancing user-generated content
ActiveUS12334112B2Television system detailsElectronic editing digitised analogue information signalsUser deviceUser-generated content
User-generated content is received from multiple user devices, including first content recorded by a first user device during a first time interval and second content recorded by a second user device during a second time interval. If the second time interval immediately precedes, or immediately follows, the first time interval, then at least a portion of the second content may be appended to the first content. For example, if a user ends recording of the first content before an interesting event occurs, then a portion of the second content may be appended to the first content so that the user has a recording including the missed event. The second content may be selected based on a location, and / or a field of view of the second user device during the second time interval being similar to that of the first user device during the first time interval.
Owner:ADEIA GUIDES INC
Detection device, detection method, and detection program
ActiveUS12592963B2Platform integrity maintainanceSpecial data processing applicationsUser-generated contentData mining
A detection device includes processing circuitry configured to acquire user generated content generated in each service in a predetermined period, generate a search query using words appearing in the user generated content for each service, collect the user generated content generated in a plurality of services using the generated search query, calculate a feature amount of the collected user generated content of a predetermined service, perform learning using the feature amount of the user generated content generated by a normal user and a feature amount of content generated by a malicious user, determine whether the user generated content is generated by a malicious user based on a learned model, and access an entrance URL described in the user generated content and output a feature of an attack of the user generated content as threat information when the user generated content is determined to be generated by a malicious user.
Owner:NT T INC
Methods and devices related to extended reality
ActiveUS12631880B2Input/output for user-computer interactionDetails for portable computersUser deviceUser-generated content
A method performed by an XR rending device having an NCOD for generating, for a first user, XR content for an XR environment with which the first user is interacting. The method includes obtaining first user preference information for the first user, the first user preference information comprising sensory permission information indicating, expressly or implicitly, one or more sensory stimulations to which the first user agrees to be exposed. The method also includes obtaining XR scene configuration information for use in generating XR content for the first user. The method also includes generating XR content for the first user based on the sensory permission information and the XR scene configuration information such that the generated XR content does not comprise XR content for producing any sensory stimulation to which the first user has not agreed to be exposed. The method further includes providing the generated XR content to an XR user device worn by the first user, wherein the XR user device comprises one or more sensory actuators for producing one or more sensory stimulations.
Owner:TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
Public culture data processing method and system
PendingCN122048282AOffice automationText database clustering/classificationUser-generated contentData acquisition
The invention discloses a public culture data processing method and system, and belongs to the technical field of travel propaganda, and the method comprises the following steps: collecting all available public culture resources in a region through big data search, comprising basic data of cultural relics and historic sites, museums, non-abandoned projects, local literatures, historical stories, characteristic blocks, old sizes and natural landscapes, and a structured cultural asset map is formed; the public culture data processing method and system are invented by automatically capturing hot topics of social media in a local area, Gao-like comments and user-generated contents everyday and identifying potential travel hot spots through data cleaning and aggregation, and through combination of multi-dimensional data acquisition, intelligent analysis and hierarchical planning, manual dependence can be eliminated, travel demands can be accurately captured, and the user experience is improved. The propaganda dimension is widened, high efficiency, precision and continuity of text travel propaganda are achieved, and the exposure and attraction of local text travel resources are improved.
Owner:XI'AN PETROLEUM UNIVERSITY