9 results about "Discussion group" patented technology

The invention discloses a group chat questioning method and device, equipment, a storage medium and a computer program product, and relates to the technical field of intelligent AI, the group chat questioning method comprises the steps that user questions in a discussion group are acquired, the discussion group comprises a user and a target model group, the target model group comprises at least one large model group member, and the user questions in the discussion group are acquired; the large model group members correspond to at least one large model; inputting the user question into a target model group corresponding to the discussion group to obtain large model answer information of at least one large model group member to the user question; and generating and displaying a model reply result according to the large model reply information. Through the mode, the user can obtain collaborative answers and help of a plurality of large models without additional operation, the interaction efficiency with the AI large model is improved, and the comprehensiveness of knowledge acquisition is expanded.

1. The name of the design product: related data display graphical user interface for electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the interface is used to display ongoing data, completed data, quick join, etc. 7. The human-computer interaction mode of the graphical user interface: in the design 1 front view, the user can click the data card of the "in progress" module to quickly rejoin the corresponding discussion group and participate in the chat; can click the data card of the "completed" module to quickly rejoin the corresponding discussion group to view the chat content; can also click any control in the interface to perform the corresponding operation. The human-computer interaction descriptions of design 2, design 3 and design 5 are the same as design 1. In the design 4 front view, the user can click the data card of the "in progress" module to quickly rejoin the corresponding discussion group and participate in the chat; can also click any control in the interface to perform the corresponding operation.

The invention discloses a video conference grouping method and a video conference system. The method comprises the steps that user performance information of participants participating in a video conference is acquired, and the user performance information of the participants comprises first video information, first voice information and operation record information of the participants; and conference content information of the video conference is acquired, and the conference content information comprises second video information and second voice information. And based on a preset user attribute analysis model, determining a user attribute analysis result according to the conference participant user performance information and the conference content information. And under the condition that the video conference needs to perform grouping discussion on the participants, performing grouping processing on the participants according to the user attribute analysis result. Thus, the user attribute analysis result is determined by collecting related information and combining the preset user attribute analysis model, grouping is performed, and the member structure in each discussion group is rationalized, so that the participation degree and discussion depth of participants in each discussion group are improved.

This application discloses an AI-based multi-user science popularization knowledge interaction method and system, relating to the field of intelligent question-answering technology. The method includes: acquiring historical input content from all users in a discussion group to construct a semantic graph; identifying consensus patterns by scanning the semantic graph and generating consensus proposals for each pattern; pushing the consensus proposals to all users in the discussion group for consensus feedback operations and determining the status of the consensus proposals; parsing real-time input content to detect whether there is a conflict between the input content and active consensus; if a conflict exists, determining the conflict pattern, confirming the conflict confidence level, and generating an early warning; evaluating the input content through a deviation analyzer to calculate the deviation concentration and diffusion rate; triggering a risk warning when the deviation concentration exceeds a deviation concentration threshold and the diffusion rate exceeds a diffusion rate threshold, scheduling an AI role model as a virtual participant to publish guiding content for corrective intervention, and calculating a correction effect index.

1. The name of the design product: recommended card display graphical user interface for electronic devices. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the interface is used to display recommended cards, card information preview, etc. 7. The human-computer interaction mode of the graphical user interface: in the design 1 front view, the user can swipe up and down the card to switch and view more recommended cards; can click on the card to enter the discussion group to watch or participate in the discussion. In the design 2 front view, the user can click on the card to enter the discussion group to watch or participate in the discussion. In the design 3 front view, the user can swipe left the card to switch and view more recommended cards; can swipe left the comment at the bottom of the card to view more comment content; can click on the card to enter the discussion group to watch or participate in the discussion. The human-computer interaction description of design 4 and design 5 is the same as design 1.

The invention provides an interaction method and device, electronic equipment and a storage medium, and belongs to the technical field of multimedia. The method comprises the following steps: displaying a setting interface of a discussion theme in response to a discussion initiation operation in a playing interface of multimedia resources; based on the setting operation in the setting interface, displaying a discussion theme corresponding to the setting operation; and in response to a release operation on the discussion theme, displaying a discussion component for the discussion theme in the playing interface, the discussion component being used for issuing a comment message for the discussion theme or interacting with the comment message for the discussion theme. According to the method, the discussion component is displayed in the playing interface based on the operation in the playing interface, so that the user can discuss based on the discussion subject, such as publishing the comment message for the discussion subject or interacting with the comment message under the discussion subject, the interaction form is enriched, the user can quickly find the interested content, and the user experience is improved. The time and energy of the user are saved, and the man-machine interaction efficiency is improved.

This specification describes systems, methods, devices, and other techniques for a group of clients to engage in a privacy-centric discussion by exchanging private messages pseudonymously and anonymously. In the formal setting where the discussion is to negotiate an agreement or contract and to work toward a formal document agreed upon by all participants, the final concluding document or contract is to explicitly contain the identities of all participants with documentary evidence, including all participants' signature authenticated by a third-party service, to reduce mistaken identity and its adverse effect on contractual validity. Both the content of the final document and the proof of authentication for each participant remain private to the discussion group in encrypted form, decodable by those participants owning the authenticated identities. The final document can be recorded on a trustless blockchain-based repository.

The invention relates to the technical field of digital reading, and discloses a book reading management method, which comprises the following steps: acquiring a book reading target input by a user, executing a book reading progress adjustment strategy, marking a book to be read, formulating a book reading progress table, and performing intelligent evaluation and adjustment according to the progress table. The reading duration and the reading quantity of the users are obtained, the users are ranked according to the reading duration and the reading quantity, rankings of all the users are collected, and a reading ranking list is generated; executing a real-time group chat creation strategy, and gathering users who are reading different chapters into a temporary group chat corresponding to each chapter; for the interest chapter, automatically pulling the user into a discussion group chat of the interest chapter, and pushing a discussion post corresponding to the content of the interest chapter; and executing an auxiliary memory strategy according to the interval of the last reading time of the user, providing different degrees of auxiliary memory for the user, and sending a reading prompt.

This application relates to a method and system for generating user topic tags based on WeChat Work discussion groups. The method includes: a word vector training step, where different discussion tags are preset according to industry type, and corresponding external word vectors are obtained by filtering them; the external word vectors are combined with conversation archives to train word vectors; a priority word acquisition step, where the similarity between the word vectors and the discussion tags is calculated, and word vectors that meet preset conditions are added to a priority word list; a conversation tagging step, where conversation archives are scanned using a word segmentation system and tagged according to priority words and preset stop words; and a topic tag generation step, where the tagging results are processed to obtain user topic tags. This application enables the rapid construction of user discussion topic tags from massive amounts of user conversation information.