Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains.
Liang HuLongbing CaoJian CaoZhiping GuGuandong XuDingyu YangPublished in: ACM Trans. Inf. Syst. (2016)
Keyphrases
- cold start
- recommender systems
- collaborative filtering
- cold start problem
- reinforcement learning
- learning process
- prior knowledge
- user preferences
- recommendation algorithms
- machine learning
- user interface
- end users
- tag recommendation
- item recommendation
- music recommendation
- data sparsity
- user ratings
- implicit feedback
- recommendation systems
- user feedback
- user profiles
- context aware
- learning algorithm