28 results about "Online community" patented technology

This invention discloses a proactive depolarization method for online discourse based on evolutionary multi-agent collaboration, belonging to the interdisciplinary field of social network content governance and artificial intelligence technology. The process is divided into three stages in chronological order: perception and decision-making, execution and amplification, and feedback and iteration. By introducing a multi-agent collaboration and evolutionary mechanism, and using artificial intelligence to proactively intervene in online interactive discourse, it reduces the spread of opposing opinions in online communities. This enables the governance system to possess decision-making and action capabilities similar to an organized team, achieving real-time governance of the online discourse environment, proactively guiding dialogue towards de-escalation, and reducing the spread of extreme emotions and biased viewpoints.

An information processing device according to the present disclosure comprises an acquisition unit, a determination unit, and an execution unit. The acquisition unit acquires activity history information indicating an activity history of a user. The determination unit determines, on the basis of the activity history information, whether the user satisfies a condition for granting a benefit related to an online community. The execution unit grants the benefit to the user satisfying the condition.

The invention relates to an online community creator feedback prediction method and system based on a dynamic reputation graph and text analysis. Relates to the technical field of feedback prediction. The method comprises the following steps: S1, acquiring and preprocessing historical interaction data containing comment texts, user IDs, timestamps and like and treading records; s2, constructing a like and treading double-view interaction map; s3, segmenting the data according to the day, and calculating a daily positive and negative reputation value through a PageRank algorithm; s4, introducing a time decay function, and carrying out weighted summation on the daily granularity reputation value in the close time window to obtain a dynamic reputation; s5, text semantic features are extracted through RoBERTa, the text semantic features and the dynamic reputation features are spliced and fused, and the full-connection neural network is input to output the like or treading probability. The method gives consideration to positive and negative reputation and time dynamics, makes up for the defects of plain text prediction, remarkably improves the feedback prediction precision, especially optimizes the click behavior prediction effect, and can provide support for community atmosphere guidance and network violent early warning.

A system is provided.SOLUTION: A system comprising: means for inputting content, a place, a cost, and a schedule of a hobby or a practice desired by a user; means for receiving the input information and searching for an appropriate school from a database; means for generating an optimal school list and transmitting the optimal school list to a user terminal; means for inputting and transmitting application information for a school selected by the user and completing a reservation in cooperation with a school management system; and means for proposing a related online community and processing a participation application.SELECTED DRAWING: Figure 1

This invention discloses a method, system, and device for recommending learning paths in online communities based on knowledge graphs. First, a knowledge graph model is constructed, consisting of three layers of entities: "course – topic – knowledge point." A multi-level text similarity function based on a corpus and core phrases is then constructed using user posts in the online community. Second, horizontally, the similarity function measures the semantic similarity between posts. Based on the user's knowledge background, a unique user with a similar knowledge level within the user group is identified, and their learning path is obtained. If a path is missing, vertically, the knowledge graph is used to recommend users at a higher level than the current topic's knowledge point. A unique user is identified based on their knowledge background, and their posts are obtained. Finally, the knowledge graph is used to recommend fine-grained and multi-context-aware learning paths for users in the online community. This invention can recommend fine-grained and multi-context-aware learning paths from both horizontal and vertical perspectives, combined with the user's knowledge background.

The present invention is in the field of computer systems and processes for managing real and personal property. One aspect of the invention is directed to capturing history of a (real) property, which may include a description of the property, the personal property located on the real property, the projects and maintenance performed or to be performed on the property and their impact on the owner's tax basis in the property. Another aspect of invention allows for sharing of this history with an online community and for transferring the history (or portions thereof) on sale to a buyer.

The present invention relates to a method and system for automatically sanctioning users in an online community based on risk scores derived from user-generated content and behavior data. The system includes a machine learning risk score engine that processes segmented sessions of user activity, assigning risk scores according to predefined violation categories.These risk scores are aggregated and compared to configurable thresholds specific to each violation category. If the aggregated risk score exceeds the threshold, the system automatically triggers a sanction, such as a warning, muting, temporary suspension, or permanent ban. The system continuously monitors user activity, recalculating risk scores with new data, ensuring ongoing evaluation and appropriate sanctioning. The invention offers flexibility through customizable thresholds and violation categories, enhancing the effectiveness and precision of automated moderation in online communities.

Provide a system. 【Solution means】 Means for receiving students' learning data in real time and analyzing the data using a machine learning model for evaluating the learning progress, Means for automatically generating an optimized learning plan based on the students' understanding level, Means for providing an interactive teaching material according to the generated learning plan and giving feedback, Means for visualizing the learning progress to the instructor via a dashboard, Means for providing an online community function for promoting communication between educators and students, Means for providing individualized teaching materials to students in real time using a learning support robot, Means for recognizing students' expressions and voices to infer the understanding level and presenting appropriate teaching materials, A system including the above.

A method for privacy-preserving identity verification includes, at a computing node, receiving, over a computer network, a unique user identifier for a user within an online community, and a community identifier for the online community. An identity profile identifier is computer-generated based at least in part on the unique user identifier, the community identifier, and a nonce identification value. A network-accessible identity profile for the user is computer-generated, the identity profile including one or more verified identity claims for the user, and the identity profile indexed by the identity profile identifier.

A system is provided.SOLUTION: The system includes a means for inputting and storing individual information and interest information of learners, a means for generating a learning plan by using a generation AI for acquiring and analyzing the stored individual information and interest information, a means for providing a learning experience in virtual reality environments on the basis of the generated learning plan, and a means for providing an online community in which a plurality of learners can communicate with each other online.SELECTED DRAWING: Figure 1

The system according to this embodiment aims to provide learning plans and emotional support tailored to the individual needs of each student. [Solution] The system according to the embodiment comprises a learning plan provision unit, a progress management unit, a community provision unit, a sponsorship unit, and a course sales unit. The learning plan provision unit provides an optimal learning plan for each individual student. The progress management unit provides feedback and progress management based on the learning plan provided by the learning plan provision unit. The community provision unit provides an online community where students and parents can interact with each other. The sponsorship unit partners with companies and educational institutions to obtain sponsorships. The course sales unit sells courses specializing in specific subjects or skills.

A system in accordance with an embodiment is directed to generating and sharing cartoons in real time based on requests of online community members.SOLUTION: A system according to an embodiment includes a request reception unit, a generation unit, an image generation unit, and a sharing unit. The request reception unit receives a request of an online community member. The generation unit generates a story or lines on the basis of the request received by the request reception unit. The image generation unit generates an image of a comic panel or a character on the basis of the story or lines generated by the generation unit. The sharing unit shares the cartoon generated by the image generation unit with other members.SELECTED DRAWING: Figure 1

The application discloses a disaster point network community discovery method and device fusing geographical space constraints, and the method steps comprise the following steps: step S01, acquiring geographical position data and a topological connection relationship matrix of each disaster point in a disaster point network; step S02, calculating a spatial similarity matrix between each disaster point, and fusing and calculating a spatial connection strength with the topological connection relationship matrix; step S03, calculating a geographical modularity according to the spatial connection strength, and constructing a hybrid modularity according to the geographical modularity and a topological modularity; step S04, initializing each disaster point as an independent community, and dividing each community node based on the hybrid modularity by adopting a greedy strategy, and judging whether node decomposition is needed in the division process by a persistence degree, and calculating a spatial cohesion degree to judge whether the community needs to be decomposed. The application can reduce resource scheduling paths, and realizes collaborative improvement of geographical and topological joint optimization.

The invention provides an identification and analysis method and system for an urban innovation space organization structure based on an HDBSCAN and a Louvain algorithm, and relates to the technical field of innovation space identification, and the method comprises the steps: firstly collecting classification number data corresponding to each innovation subject in a target city range; performing association matching on the space coordinate data and the classification number data of each innovation subject to obtain a basic data set, and converting the basic data set into a technical feature vector of the corresponding innovation subject; based on the technical feature vector, an HDBSCAN algorithm is adopted to carry out spatial clustering processing, and an innovative area is obtained; constructing an innovation cooperation network among different innovation subjects in the innovation area, and performing network community division on the innovation cooperation network by adopting a Louvain algorithm to identify an innovation space structure; and finally, carrying out innovation evaluation on the innovative space structure to obtain a corresponding innovation evaluation result, and improving the recognition accuracy of the urban innovative space organization structure.

An object of a system according to an embodiment is to analyze needs of an elderly person and provide an optimal activity site and support.SOLUTION: A system according to an embodiment includes a need analysis unit, a suggestion unit, a community construction unit, a health management unit, a re-employment support unit, and a social participation support unit. The need analysis unit analyzes the needs of the elderly person using the generated AI. The proposal unit proposes an optimal activity field based on the need analyzed by the need analysis unit. The community construction unit constructs an online community on the basis of the activity site proposed by the proposal unit. The health management unit analyzes health data of the elderly person and supports health management. The re-employment support unit analyzes the work experience and skill of the elderly person and supports reemployment. The social participation support unit supports social participation and volunteer activities of elderly people.SELECTED DRAWING: Figure 1

The present invention is a mobile app using a mobile computing device's camera and microphone to monitor and score metrics for a shooting drill assigned to a marksman on the display of the mobile computing device. Mobile computing devices for multiple users of the mobile app are in networked communication with a server. The individual data points for total time, split time(s), reaction time(s), accuracy, and precision as well as an overall combined score can be saved for each marksman and compared to other marksmen's shooting metrics. Scores can also be assessed based on decision making, such as shoot / threat vs. no shoot / nonthreat. The present invention also provides a virtual shooting range in which users engage in online community activities, competitions, forums, skill building, and training. The mobile app receives wireless signals from a dynamic target stand indicating a target is turned and automatically correlates target turns with the shot clock.

Methods and systems for creating augmented reality digital landmarks and their participant online communities via photo mosaics are disclosed. The subject matter of the present disclosure relates to computerized systems, and more specifically to creating purpose-specific and precise location digital landmarks (two-dimensional (2D), three-dimensional (3D), or holographic) based on photo mosaic technology to be experienced via augmented / extended reality equipment, which enables and facilitates the formation of purpose-specific online communities among participating members. The invention aims to: create digital landmark objects and impactful virtual murals and art installations (two-dimensional (2D), three-dimensional (3D), or holographic) that elevate awareness of important causes and bring people together. Photo mosaics and social media platforms accessed through AR build purpose-specific digital fixed landmarks; harness the power of images to bring global citizens together around shared goals and values (create purpose-specific online communities). Launch crowdfunding campaigns and shared non-fungible token projects (NFTs) to provide wider exposure and funding for, for example, social good initiatives.

This invention belongs to the field of computer science, specifically relating to a community search method for product recommendation in an e-commerce network. The method includes: converting the e-commerce network into an undirected attribute graph G; initializing parameters and calculating the attribute-enhancing conductance of each node in the undirected attribute graph based on the initialization parameters; extracting candidate coarse communities based on the attribute-enhancing conductance; selecting coarse communities from the candidate coarse communities; processing the coarse communities using a trained neural community optimization model to obtain an encoding state; optimizing the coarse communities based on the encoding state to obtain refined communities; and recommending products based on online community search results. This invention combines deep learning technology with traditional predefined structural constraints. This method organically combines the advantages of both, thereby significantly improving the quality of community search.

This invention provides an offline community detection method for software ecosystems based on co-evolutionary optimization. Software ecosystem networks are often dynamic, forming dynamic networks. Based on the network formation mechanism, dynamic networks can be divided into offline and online networks. The goal of dynamic network community detection in software ecosystems is to efficiently reveal the community structure and evolutionary patterns of the system, contributing to understanding individual interaction behavior and promoting the healthy and sustainable development of software ecosystems. This invention segments the dynamic network into several continuous multi-layer networks based on the similarity of the network at different time periods. It considers both the saliency of the intra-layer network community structure and the similarity of the inter-layer network community division. Nine offline software ecosystem networks with different characteristics are constructed using data crawled from GitHub. Comparative experimental results show that the proposed offline community detection method for software ecosystems is superior.

This invention discloses a method and system for analyzing user roles in online communities, relating to the field of social networks. The method includes: acquiring community network interaction data on preset social network platforms regarding preset category viewpoints; wherein the community network interaction data includes posts and the users who posted or forwarded the posts; determining the best topic on the preset category viewpoint; calculating the semantic polarization degree of each user on the best topic on the preset category viewpoint based on the community network interaction data; and classifying each user into online community user roles based on the semantic polarization degree of each user on the best topic, obtaining the classification result. This invention enables a more detailed understanding and role classification of communities in social networks that exhibit a binary structure on preset category viewpoints, and analyzes whether users are living in information cocoons of preset category viewpoints.

The invention discloses a caregiver narrative support method and system, and the method comprises the steps: S10, carrying out the narrative guidance and data collection: guiding a caregiver to carry out the narrative expression through a mobile terminal, and collecting the narrative data and basic information of the caregiver in the form of voice and text; s20, performing multi-dimensional evaluation: integrating and using a depression self-evaluation scale SDS, an anxiety self-evaluation scale SAS and a pressure sore knowledge questionnaire to perform baseline and multiple follow-up online evaluation on the caregiver; s30, performing intelligent analysis and feedback generation: performing real-time sentiment analysis on the narrative text by applying a natural language processing (NLP) technology, automatically identifying the pressure level and the emotional state of the caregiver, and generating a personalized feedback report; s40, resource pushing: based on analysis of a narrative text and an evaluation result, identifying a knowledge blind area and an emotion demand of a caregiver; and S50, constructing a collaborative support network: constructing an online community and communication platform connected with the caregivers, the researchers, the community doctors and the psychological consultants.

We provide technology that promotes constructive discussion in online communities and enables democratic decision-making to be carried out effectively. [Solution] The information processing device disclosed herein is an information processing device that manages predetermined discussions held among users. The information processing device includes a control unit that executes the following: acquiring posted data posted by a posting user as a first proposal that serves as the basis for the discussion; providing the first proposal so that it can be viewed on a predetermined network; and acquiring predetermined reactions to the first proposal from viewing users. The reactions include support for the first proposal or a second proposal that is an alternative to the first proposal. When the control unit acquires the second proposal as a reaction, it further executes the following: determining whether to update the first proposal to the second proposal.

The system according to this embodiment aims to provide appropriate learning opportunities and social connections to children who are not attending school. [Solution] The system according to this embodiment comprises a learning plan planning unit, a progress analysis unit, a lesson provision unit, a community management unit, and an interaction promotion unit. The learning plan planning unit creates a learning plan tailored to each child. The progress analysis unit analyzes and provides feedback on the progress based on the learning plan created by the learning plan planning unit. The lesson provision unit provides high-quality lessons for each subject based on the progress analyzed by the progress analysis unit. The community management unit creates online communities based on the students' interests and themes based on the lessons provided by the lesson provision unit. The interaction promotion unit promotes interaction among students based on the communities created by the community management unit.

A system is provided.SOLUTION: A system comprising: means for providing an anonymous online community space for children who are absent from school; artificial intelligence means for receiving user submissions in the community space and analyzing the content to provide appropriate advice and information; means for matching users with common interests or problems by analyzing user profile and activity data; artificial intelligence means for analyzing user request information and matching appropriate counselors for online counseling; artificial intelligence means for analyzing user learning profiles and providing appropriate learning materials and video tutorials; and means for regularly holding online events and workshops.SELECTED DRAWING: Figure 1

1. Name of the product in this design: Graphical User Interface of an Online Workstation for Community Stray Animals for Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Uses of the graphical user interface: for tracking stray animal movements, online adoption, record management, health tracking, and rescue implementation. 6. Human-computer interaction method of graphical user interface: In the main view, click "Midwifery Product Map" to enter the interface change state diagram 1. In the interface change state diagram 1, click the animal introduction bar to enter the interface change state diagram 2.

The invention discloses a disaster point network community discovery method and device fusing geographic space constraints. The method comprises the following steps: step S01, obtaining geographic position data and a topological connection relation matrix of each disaster point in a disaster point network; s02, calculating a spatial similarity matrix among the disaster points, and fusing the spatial similarity matrix with the topological connection relation matrix to calculate spatial connection strength; s03, calculating a geographic modularity according to the spatial connection strength, and constructing and forming a hybrid modularity according to the geographic modularity and the topological modularity; and step S04, initializing each disaster point into an independent community, dividing each community node based on the hybrid modularity by adopting a greedy strategy, judging whether node decomposition is needed or not through the maintenance degree in the dividing process, and calculating the spatial cohesion degree to judge whether the community needs to be decomposed or not. According to the method, resource scheduling paths can be reduced, and collaborative improvement of geography and topology joint optimization is realized.

The invention relates to the technical field of artificial intelligence, in particular to an AI-driven network community virtual activity planning and executing system, which is characterized in that user data is acquired in real time through a demand analysis module, semantic sentiment analysis is carried out, and a user social network graph and a sub-group demand model are constructed; the activity generation module is combined with a hotspot trend prediction model to generate themes, forms and contents, and an initial activity scheme is formed; the activity execution module splits the scheme into dynamic tasks, predicts the user participation risk in real time by using a reinforcement learning model and adjusts the scheme; the activity evaluation module performs multi-dimensional index analysis on user feedback and behavior data; and the activity optimization module compares the deviation between the user demand model and the evaluation result through multi-modal learning, and optimizes the demand model in a closed-loop manner. According to the method, the dynamic generation of the activity planning is realized, the continuous iteration of optimization and user requirements is executed, and the technical problems of low user matching degree and real-time feedback response lag of the traditional activity planning are solved.