Pushing method for intellectual property service information
By building an intellectual property resource database and using natural language processing and image recognition technology, combining user operation behavior to generate comprehensive attention, the problem of insufficient accuracy of intellectual property resource push methods in the existing technology is solved, and more efficient and accurate intellectual property resource push is achieved.
Patent Information
- Application Number
- CN202411663859.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-20
- Publication Date
- 2025-03-28
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing intellectual property resource push methods have deviations in calculating the degree of interest of users and lack effective corrections to users' continuous use and browsing behavior, resulting in low accuracy of push.
By obtaining data from the intellectual property information platform, an intellectual property resource database is built, and the data is divided in segments using natural language processing, text mining and image recognition technologies. Record user operation behavior, build feature vectors, and obtain and generate user's comprehensive attention through weighted assignment, and then adjust the weight of the feature vector to improve the accuracy of push.
It improves the accuracy of the estimated intellectual property resources of users who are interested in, and can continuously improve the accuracy of push based on users' continuous use and browsing behavior, providing a more intuitive and proactive knowledge acquisition experience.