Employing neighborhood reduction for alleviating sparsity and cold start problems in user-based collaborative filtering.
Zhipeng ZhangYao ZhangYonggong RenPublished in: Inf. Retr. J. (2020)
Keyphrases
- user based collaborative filtering
- data sparsity
- collaborative filtering
- cold start problem
- recommender systems
- cold start
- matrix factorization
- user profiles
- user ratings
- recommendation algorithms
- user preferences
- personalized recommendation
- similarity measure
- recommendation systems
- learning to rank
- transfer learning
- topic modeling
- information overload
- query expansion
- information retrieval