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197 results about "User-generated content" patented technology
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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.
System and method of providing context-aware authoring assistance
ActiveUS20240403568A1Natural language translationSpecial data processing applicationsLinguistic modelUser-generated content
A system and method for automatically generating content for a user based on a context includes conducting a search of data associated with the user to generate search results associated with the user, applying first models to the first search results to infer characteristics and patterns associated with the user and to generate a first set of content based on the inferred characteristics and patterns, and generating a first pseudo-document that includes a first set of pattern content, based on the first set of content generated by the one or more first models. Additionally, second models are applied to data associated with the context to infer characteristics and patterns associated with the context and to generate a second set of content based on the inferred characteristics and patterns of the context. A second pseudo-document is generated based on the second set of content. A prompt is created by integrating the first pseudo-document and the second pseudo-document and transmitted to a language model to cause the language model to generate content for the user that is customized to both the user and the context.
Owner:MICROSOFT TECHNOLOGY LICENSING LLC
Chat-based user-generated content assistance
Embodiments of the present invention include systems and methods for generating chat-based user-generated content. The system may receive a chat-based communication over a communication network from a user device of a user and interpret the chat-based communication using a machine learning model. This may include identifying a meaning of content within the chat-based communication and predicting that the content within the chat-based communication indicates one or more virtual characteristics. A custom character for use within a virtual environment may be generated based on the identified meaning and the predicted virtual characteristics. The custom character may include the predicted virtual characteristics. The system may present the custom character to the user via a user interface of the user device.
Owner:SONY INTERACTIVE ENTERTAINMENT LLC
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
Systems and techniques for retraining models for video quality assessment and for transcoding using the retrained models
A trained model is retrained for video quality assessment and used to identify sets of adaptive compression parameters for transcoding user generated video content. Using transfer learning, the model, which is initially trained for image object detection, is retrained for technical content assessment and then again retrained for video quality assessment. The model is then deployed into a transcoding pipeline and used for transcoding an input video stream of user generated content. The transcoding pipeline may be structured in one of several ways. In one example, a secondary pathway for video content analysis using the model is introduced into the pipeline, which does not interfere with the ultimate output of the transcoding should there be a network or other issue. In another example, the model is introduced as a library within the existing pipeline, which would maintain a single pathway, but ultimately is not expected to introduce significant latency.
Owner:GOOGLE LLC
Method and device for realizing creativity generation by aid of AI (Artificial Intelligence)
InactiveCN119293314Aimprove relevanceImprove satisfactionDigital data information retrievalSemantic analysisUser-generated contentEngineering
The invention relates to the technical field of advertisement data processing, and discloses a method and device for achieving creativity generation by means of AI, and the method comprises the steps: obtaining user generation content from each social media platform in real time, and collecting hot topics of a current market; performing semantic analysis and sentiment analysis based on the hot topics to generate hot portraits; performing matching degree calculation on the hot portraits and target audience portraits of the product, and screening the hot portraits with the highest matching degree as the hot portraits of the target audience portraits; according to the hotspot portraits of the target audience portraits, performing two-dimensional screening in combination with the popularity of the hotspots to obtain target hotspot portraits; and inputting the target hotspot portrait and the associated product information into a preset deep learning model based on semantic matching, and outputting originality. The method has the advantages that the timeliness of the creativity is guaranteed, and the click rate and the conversion rate of the creativity are improved.
Owner:GUANGZHOU YUNZHIDACHUANG TECH CO LTD
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
Multi-modal social media popularity prediction method based on time perception hypergraph learning
The invention belongs to the technical field of information propagation, and discloses a time perception hypergraph learning-based multi-modal social media popularity prediction method, which comprises the following steps of: firstly, searching first K instances related to a target UGC (User Generated Content) by adopting a method taking time as a core; then, by utilizing UGC attributes, connecting all related instances together to form a hypergraph of the target UGC; secondly, a time-aware guided hypergraph Transform is researched and developed to capture correlation between the interior and cross-modality, and a time encoder is used to embed time information into an information fusion process; and finally, predicting the popularity of the target UGC by using a model comprising two layers of feedforward neural networks. According to the method, modeling is carried out on the time relation of target user generated content (UGC), target representation is enhanced through multi-modal hypergraph aggregation, and the method aims at guiding self-adaptive hypergraph construction through aggregation time perception information so as to assist multi-modal popularity prediction.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA +1
Multi-resolution Transformer for Video Quality Assessment
PendingUS20250173821A1Image enhancementImage analysisUser-generated contentComputer graphics (images)
A no-reference video assessment framework employs a multi-resolution input representation and a patch sampling mechanism on a video having multiple frames 302 to aggregate information across different granularities in spatial and temporal dimensions. The framework effectively models complex spacetime distortions that occur in user generated content-type videos. According to one aspect, the framework embeds video clips 302 as multi-resolution patch tokens using complementary modules. This includes a multi-resolution video embedding module 322, and a space-time factorized Transformer encoding module 324, 326. The multi-resolution video embedding module 322 is configured to encode multi-scale quality information in the video, capturing both global video composition from lower resolution frame and local details from larger resolution frames. The space-time factorized Transformer encoding module 324, 326 aggregates the spatial and temporal quality from the multi-scale embedding input, and is configured to output a quality score 330 for the input video.
Owner:GOOGLE LLC
Methods and systems for fusing locked user generated content in a book having pages interspersed with optically readable codes
ActiveUS20250124245A1Special data processing applicationsDigital marking by printing code marksUser-generated contentEngineering
Methods and systems for generating content for a story in a book having pages interspersed with optically readable codes and intermission optically readable codes. To consume an entire story, a person reads text on pages in some book sections and uses an optical scanning device to scan optically readable codes on pages in other book sections and access digital media files. Intermission optically readable codes may further be scanned to unlock user functionality on a remote device. Each intermission optically readable code permits access to a user-generated content platform, whereby users may create, share, and consume content with other users regarding the story of the book. A book may have an alternating sequence of chapters presented with textual content and other chapters presented with audiovisual content accessed by optically readable codes to cover an entire story and intermission optically readable codes to engage with a community and supplement the story.
Owner:YELLOW MULTIMEDIA CORP
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
Data processing method and device, medium and program product
The invention relates to the field of computer data processing, in particular to a user generated content-based data processing method, which comprises the following steps of: identifying, namely identifying named entities in notes, and acquiring category words of the named entities; an extraction step: determining a context corresponding to the category word in the note based on the category word; a recall step: performing first recall and / or second recall on predetermined commodity categories based on the category words to select candidate items; and a sorting step: calculating the confidence of the candidate items based on the context, and determining a target commodity category associated with the user generated content from the candidate items based on the confidence. The invention also relates to a user-generated content-based data processing device, a medium and a program product. According to the method, the recall robustness can be improved, and the cost of manually annotating data can be reduced.
Owner:XIAOHONGSHU TECH CO LTD
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 scene editing method and device and electronic equipment
PendingCN119139708AImprove gaming experienceSave time and costVideo gamesInput/output processes for data processingGraphical user interfaceUser-generated content
The invention provides a game scene editing method and device and electronic equipment, a graphical user interface for generating a content editor by a user is provided through terminal equipment, a game test scene is provided on the graphical user interface in response to a game trial playing instruction, and the game test scene is edited in response to a marking operation for the game test scene. Adding a target label to a target position of the game test scene, wherein the target label comprises editing guide information for the target position; and in response to the game editing instruction, providing a game editing scene in the graphical user interface, and displaying a target label at a target position in the game editing scene. According to the mode, by setting the label in the game test scene, the problems occurring in the game test scene can be marked, and the editing guide information can be set, so that a player can adjust the scene component in the game editing scene based on the label, the operation cost of game debugging and the problem memory cost of the player are reduced, and the user experience is improved. And the game editing and debugging efficiency is improved.
Owner:NETEASE (HANGZHOU) NETWORK CO LTD
Systems and methods for fractional ownership of user-generated content within an online gaming platform
ActiveUS12179120B2Apparatus for meter-controlled dispensingVideo gamesUser-generated contentEngineering
Systems and methods for dispersing gains derived from ownership of user-generated content among users of a gaming platform are disclosed. Exemplary implementations may: execute an instance of a game and implement in-game actions in the instance of the game as requested by the users; assign ownership of a first item of user-generated content to a group of users; record the ownership of the first item of user-generated content by the group of users; determine a first quantity of gains that have been gained within the gaming platform through use of the first item of user-generated content; and disperse at least a portion of the first quantity of gains to individual ones of the group of users.
Owner:MYTHICAL INC
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
Method, apparatus and system for user generated content capture and adaptive rendering
A method of processing audio data related to user-generated content is described. A method includes: obtaining the audio data; applying frame-by-frame audio enhancement to the audio data; generating metadata of the enhanced audio data based on one or more processing parameters of the frame-by-frame audio enhancement; and outputting the enhanced audio data together with the metadata. Another method includes obtaining the audio data and metadata of the audio data, where the metadata includes first metadata indicating one or more processing parameters of a previous frame-by-frame audio enhancement of the audio data; applying a recovery process to the audio data using the one or more processing parameters to at least partially reverse a previous frame-by-frame audio enhancement; and applying frame-by-frame audio enhancement or editing processing to the restored original audio data. Corresponding apparatus, programs, and computer-readable storage media are further described.
Owner:DOLBY LABORATORIES LICENSING CORP
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
User generated content anti-addiction method and system
ActiveCN119357506AWebsite content managementSpecial data processing applicationsPersonalizationUser-generated content
The invention provides a user generated content anti-addiction method and system, and belongs to the technical field of data analysis, and the method comprises the steps: building a first label of current page content at the current time t, and a plurality of second labels corresponding to a plurality of historical page contents in a time period T before the current time t; comparing the first label with the plurality of second labels one by one, and if the similarity or distance value of the first label and the second label is greater than a preset threshold value, judging that the user enters an addiction state; if the user enters the addiction state, an alarm signal is sent out. According to the method, personalized intervention can be performed according to actual conditions such as interests, preferences and behavior modes of different users, so that anti-addiction measures are more accurate and effective, the safety of generating a content platform by the user is improved, and the user experience is improved.
Owner:SHANDONG HUAYOU SCI & EDUCATION INFORMATION TECH CO LTD
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
