6 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.

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.

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.

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 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.