A Novel Item Cluster-Based Collaborative Filtering Recommendation System.
Yuching LuKoki TozukaGoutam ChakrabortyMasafumi MatsuharaPublished in: Rev. Socionetwork Strateg. (2021)
Keyphrases
- collaborative filtering
- personalized recommendation
- collaborative filtering recommendation algorithm
- user preferences
- recommendation systems
- recommender systems
- item recommendation
- recommendation algorithms
- user ratings
- cold start problem
- making recommendations
- item based collaborative filtering
- pearson correlation coefficient
- hybrid recommendation
- cold start
- user similarity
- latent factor models
- matrix factorization
- rating prediction
- data sparsity
- user based collaborative filtering
- active user
- user specific
- user item rating
- collaborative recommendation
- implicit feedback
- information filtering
- user profiles
- recommendation quality
- user interests
- user behavior
- deal with information overload
- purchase behavior
- transfer learning
- collaborative filtering recommendation
- semi supervised
- probabilistic matrix factorization
- mobile devices
- neural network