Job information recommendation methods, devices, electronic equipment and storage media
By using intent prediction and filtering models in recruitment apps to recommend job information that matches users' job search intentions, the problem of low efficiency in connecting users with valuable positions is solved, achieving more efficient job matching.
Patent Information
- Application Number
- CN202111294996.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-11-03
- Publication Date
- 2026-04-03
- Estimated Expiration
- 2041-11-03
AI Technical Summary
In existing recruitment apps, the connection efficiency between users and valuable job postings is low, and valuable job postings cannot reach some potential job seekers, resulting in job seekers' needs not being met quickly.
By using an intent prediction model to determine whether a user has a job-seeking intention, and combining user characteristics and search terms, job information that matches the job-seeking intention is recommended. Filtering models and click-through rate models are used to optimize the recommendation results and improve matching efficiency.
It improved the efficiency of matching users with valuable positions, met the job-seeking needs of more users, and enhanced the job-seeking connection efficiency of recruitment apps.