Like-tasted user groups to predict ratings in recommender systems.
Soufiene JaffaliSalma JamoussiKamel SmaïliAbdelmajid Ben HamadouPublished in: Soc. Netw. Anal. Min. (2020)
Keyphrases
- user groups
- recommender systems
- collaborative filtering
- cold start problem
- netflix prize
- cold start
- user preferences
- personalized recommendation
- collaborative filtering algorithms
- user ratings
- matrix factorization
- active user
- product recommendation
- recommendation algorithms
- latent factor models
- implicit feedback
- rating prediction
- information sources
- search tasks
- collaborative filtering recommender systems
- user profiles
- end users
- data sparsity
- user profiling
- item based collaborative filtering
- information retrieval
- recommendation systems
- user information satisfaction