Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems.
Guibing GuoHuihuai QiuZhenhua TanYuan LiuJing MaXingwei WangPublished in: Knowl. Based Syst. (2017)
Keyphrases
- implicit feedback
- data sparsity
- multi type
- recommender systems
- collaborative filtering
- matrix factorization
- data objects
- cold start problem
- cold start
- recommendation quality
- user preferences
- user feedback
- recommendation systems
- personalized recommendation
- user profiles
- user ratings
- machine learning
- web search
- information overload
- user interests
- user model