Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning.
Xiao HanChen ZhuXiao HuChuan QinXiangyu ZhaoHengshu ZhuPublished in: CoRR (2024)
Keyphrases
- user preferences
- recommender systems
- collaborative recommendation
- natural language
- making recommendations
- active learning
- collaborative filtering
- recommendation systems
- learning algorithm
- learning process
- reinforcement learning
- semantic web
- supervised learning
- user behavior
- user feedback
- content based filtering
- search engine