An Improved Collaborative Filtering Approach Based on User Ranking and Item Clustering.
Wenlong LiWei HePublished in: IDCS (2013)
Keyphrases
- collaborative filtering
- user preferences
- user similarity
- item recommendation
- recommender systems
- user ratings
- user specific
- cold start problem
- personalized recommendation
- recommendation algorithms
- user feedback
- rating prediction
- matrix factorization
- implicit feedback
- active user
- learning to rank
- k means
- making recommendations
- cold start
- clustering algorithm
- user profiles
- user interests
- recommendation systems
- clustering method
- recommendation quality
- collaborative filtering recommendation algorithm
- tag recommendation
- web page recommendation
- data sparsity
- pearson correlation coefficient
- maximum margin matrix factorization
- ranking list
- social tags
- personalized search
- social networks
- hierarchical clustering
- web search
- hybrid recommendation
- end users
- product recommendation
- collaborative recommendation
- user experience
- user interaction
- item based collaborative filtering