A New Item Clustering-Based Collaborative Filtering Approach.
Haojun SunTao WuMeijuan YanYunxia WuPublished in: WISA (2012)
Keyphrases
- collaborative filtering
- collaborative filtering recommendation algorithm
- item recommendation
- user preferences
- user ratings
- personalized recommendation
- making recommendations
- cold start problem
- recommender systems
- matrix factorization
- pearson correlation coefficient
- cold start
- hybrid recommendation
- latent factor models
- item based collaborative filtering
- recommendation algorithms
- data sparsity
- user similarity
- rating prediction
- recommendation systems
- active user
- user item rating
- collaborative filtering algorithms
- user interests
- collaborative recommendation
- user specific
- implicit feedback
- user behavior
- prediction accuracy
- association rules
- information systems
- probabilistic matrix factorization
- machine learning
- maximum margin matrix factorization
- deal with information overload
- data sets