12results about How to "Improve content quality" patented technology

The invention relates to the technical field of water conservancy projects, in particular to a water conservancy project knowledge question and answer construction method and system based on a large model, and the method comprises the following steps: knowledge preparation, continuous evaluation optimization, user query processing, answer retrieval recall, and content generation. The hydraulic engineering knowledge question and answer construction method and system based on the large model have the beneficial effects that the large model and traditional knowledge of the hydraulic engineering industry are fused, so that the generated content is higher in quality and safer, and the problems of illusion and safety of LLM generation content of the large model are relieved; and a continuous evaluation index of the water conservancy field knowledge document system is provided, so that the system can answer questions with high quality.

The invention relates to a webpage content extraction method based on rule and statistical feature combination, which comprises the following steps of: converting a webpage html source code into a dom tree, reserving tree nodes which are identified as a text area, cutting tree nodes which are identified as a noise area, and performing copy storage on the dom tree of which the noise area is removed; and based on a combined switching mode of rule extraction and statistical feature extraction, extracting content from the stored dom tree copy. Compared with the prior art, the quality and efficiency of webpage content extraction can be improved, the accuracy and comprehensiveness of the extracted content are enhanced, and the webpage data extraction processing speed is increased.

The invention belongs to the field of social platform information spreading management, and relates to a social platform information spreading intelligent management system based on man-machine symbiosis, which is characterized in that according to an information credibility priority principle and an information diversity optimization principle, primary intervention operation and secondary intervention operation are respectively carried out on a currently investigated video set; the first intervention operation ensures that the target video platform obtains sufficient exposure opportunities for high-quality video contents of a specified user, the overall content quality guarantee of the platform for video pushing of the user is improved, and the second intervention operation focuses on reducing invalid browsing with repeated and similar contents and pays attention to the comprehensiveness of the contents; the method is advantaged in that a user is prevented from falling into an information cocoon room, then through objective and accurate evaluation of the actual effect of the video browsing sorting intervention measure, a scientific basis is provided for optimization and adjustment of follow-up platform pushing video browsing sorting intervention, and viscidity and loyalty of the user to the platform are greatly enhanced.

The invention provides a method and a device for realizing content slicing of an AI Agent based on AI, RPA and LLM, and relates to the field of AI, RPA, LLM and AI Agent. The method comprises the steps of obtaining to-be-sliced content, wherein the to-be-sliced content comprises a plurality of candidate content slices; wherein the plurality of candidate content slices are obtained by slicing the content to be sliced according to the content structure; calling an LLM (Large Language Model) to carry out content splitting processing on at least one candidate content slice in the plurality of candidate content slices to obtain a target content slice; the vector similarity between the statements in the target content slice is greater than or equal to a similarity threshold; and calling the LLM to construct a slice vector library according to the target content slices, wherein the slice vector library is used for retrieval enhancement generation processing. Therefore, the conditions of content looseness, content splitting and the like of the target content slice can be avoided, the accuracy of retrieving the recalled content slice is improved, and the content quality generated by the RAG is improved.

The present invention provides a method, device, electronic device, and storage medium for detecting cheating in an image. The method includes: obtaining multiple images of an object to be detected; classifying the multiple images to divide them into multiple image groups; for each image group, selecting two images in turn as the first image and the second image for cheating detection: detecting key points of the first image and the second image to obtain a first key point set and a second key point set, and extracting feature vectors; establishing an association relationship between the key point sets of the first key point set and the second key point set; calculating the matching rate between the first image and the second image; determining whether the matching rate between the first image and the second image is greater than a predetermined threshold; if not, determining that cheating behavior exists between the first image and the second image; if so, performing a horizontal mirror transformation on the second image, updating the transformed image to the second image, and performing cheating detection again. The method and device provided by the present invention realize image cheating detection.

The invention discloses an automatic supervision service quality management system, which comprises a knowledge payment service module, an equipment link compatible processing module and an automatic supervision operation module, and is characterized in that the knowledge payment service module is used for carrying out interaction service on a service user and a served user in knowledge payment service; the equipment link compatibility processing module is used for the knowledge payment service system to optimize the compatibility of message pushing of different terminals through a link end; and the automatic supervision operation module is used for carrying out automatic supervision on the service quality in the system based on the risk control log file. A machine learning clustering and classification algorithm is utilized, so that the participation of manual supervision in a business exception discovery and detection process is reduced; the method solves the problem of misjudgment of the algorithm when the algorithm processes the content of a specific type due to data deviation, reduces the data set deviation, and optimizes the recognition capability of the complex content.

The embodiments of the present disclosure disclose a content recommendation method, device, electronic device and medium. A specific implementation of the method includes: determining a first-form content sequence corresponding to a content acquisition request, and the first-form content in the first-form content sequence has associated item information; selecting a first target number of second-form content from a second-form content pool to obtain a second-form content sequence; matching a second target number of first-form content ranked at the top of the first-form content sequence with the second-form content sequence to determine the first-form content with a matching second-form content; replacing at least one first-form content with a matching second-form content in the first-form content sequence with the corresponding second-form content to obtain a recommended content sequence; pushing the recommended content sequence to a terminal. This implementation can push recommended content information with richer forms and more user-friendly to the terminal used by the user.

The present invention discloses a short video live broadcast automatic diversion system based on a real-time content recommendation algorithm, including a user data collection module, a real-time content analysis module, a content matching module, a personalized recommendation module and a diversion strategy module. The user data collection module collects user data, the real-time content analysis module performs real-time analysis on user data, extracts user interests and keywords, and the content matching module selects video live broadcast content that meets user interests from the content library of the short video live broadcast platform according to the user interests and keywords; the personalized recommendation module recommends the most suitable short video live broadcast content to the user, and the diversion strategy module is used to formulate a diversion strategy. Beneficial effects of the present invention: Through the system provided by the present invention, users can find content of interest more conveniently, thereby improving user satisfaction and the platform's traffic conversion effect.

The application relates to the technical field of knowledge base generation, and particularly discloses an education knowledge base content generation method and system based on AI big data. The method comprises the following steps: comparing user answer content with answer information to obtain a matching degree, calibrating positive samples and negative samples to train an evaluation model, and determining a reference standard score according to the quantity relationship between the positive samples and the negative samples; based on the reference standard score and a tolerance threshold, a plurality of candidate knowledge contents are screened to calibrate them as stable knowledge contents or to-be-corrected knowledge contents, and are output. By constructing an evaluation system based on user real answer data and an evaluation standard reflecting the actual application effect of the knowledge content, and automatically calibrating the evaluation standard according to the data distribution, objective screening and continuous iteration of the knowledge content are realized, and the accuracy and reliability of the knowledge base content are improved.

This invention provides a method, apparatus, device, and medium for quality control of multi-departmental early warning information content. The method includes: receiving early warning information messages, parsing and obtaining a unique department index; matching an appropriate early warning word segmentation model container service for the corresponding department using the department index; extracting the early warning content and title, and matching the applicable release and handling stage according to the rule attributes of the quality control rule set in the early warning word segmentation model container service of the corresponding department; executing all quality control rules in the quality control rule set to obtain the processing result of each quality control rule; determining whether there are any non-compliance identifiers in the quality control result set; if so, blocking the release and integrating and outputting the non-compliance with the quality control rule description; otherwise, proceeding to the matched release and handling stage. This invention can provide unified content control for various early warning information from multiple departments without requiring each department to develop its own control system for early warning information content.

The invention relates to an information processing method and device based on an interaction event, electronic equipment and a storage medium. The method comprises the following steps: displaying a live broadcast picture of a virtual space on a preset page; in response to occurrence of a preset interaction event in the virtual space, generating and playing voice information corresponding to the preset interaction event; the voice information is used for broadcasting the occurrence of a preset interaction event; or; the voice information is used for giving virtual space feedback information for the preset interaction event. According to the embodiment of the invention, information reminding can be carried out in time through the voice broadcast function, so that the anchor user can interact with the audience user in time, the interaction between the anchor and the user is improved, in addition, the voice feedback function can reduce the workload of the anchor in the live broadcast process, and the user experience is improved. Therefore, the anchor can pay more attention to own live broadcast content and output more valuable and meaningful information.

The present invention discloses a method, device, equipment and storage medium for processing defect information of electric power equipment. By utilizing a preset improved BILSTM algorithm, text enhancement is performed on structured text information to obtain target structured text information, so as to ensure the quality of the defect text, thereby improving the content quality of the knowledge graph constructed subsequently; then, a preset improved BERT algorithm is utilized to perform entity extraction on unstructured text information to obtain target entity information, so as to realize information extraction for defect text of electric power equipment with characteristics such as heterogeneity, diversity and fragmentation, and at the same time, the improved BERT algorithm can improve the accuracy of entity extraction; finally, based on the target structured text information and the target entity information, a knowledge graph of electric power equipment defects is constructed, so as to manage the defect information of electric power equipment in a knowledge graph manner, which can effectively improve the comprehensiveness and reliability of knowledge management and improve knowledge support for subsequent applications.