Bias and Debias in Recommender System: A Survey and Future Directions.
Jiawei ChenHande DongXiang WangFuli FengMeng WangXiangnan HePublished in: CoRR (2020)
Keyphrases
- future directions
- recommender systems
- lessons learned
- user preferences
- information filtering
- collaborative filtering
- current status
- current challenges
- information overload
- current trends
- open questions
- user profiles
- cold start problem
- artificial intelligence
- product recommendation
- recommendation quality
- web intelligence
- learning processes
- cold start
- software product line
- online dating