Experimental evaluation of context-dependent collaborative filtering using item splitting.
Linas BaltrunasFrancesco RicciPublished in: User Model. User Adapt. Interact. (2014)
Keyphrases
- context dependent
- collaborative filtering
- experimental evaluation
- collaborative filtering recommendation algorithm
- user preferences
- personalized recommendation
- item recommendation
- user ratings
- cold start problem
- making recommendations
- recommender systems
- pearson correlation coefficient
- latent factor models
- hybrid recommendation
- semantic level
- user similarity
- matrix factorization
- recommendation algorithms
- item based collaborative filtering
- cold start
- recommendation systems
- active user
- data sparsity
- rating prediction
- natural language
- user centric
- user item rating
- context free
- high level
- user profiles
- low level
- collaborative filtering algorithms
- prediction accuracy
- deal with information overload
- collaborative recommendation
- implicit feedback
- topic modeling
- transfer learning