Using Multidimensional Clustering Based Collaborative Filtering Approach Improving Recommendation Diversity.
Xiaohui LiTomohiro MurataPublished in: Web Intelligence/IAT Workshops (2012)
Keyphrases
- user profiles
- collaborative filtering
- recommender systems
- user preferences
- information filtering
- recommendation systems
- user profiling
- data sparsity
- matrix factorization
- user interests
- personalized recommendation
- recommendation quality
- online dating
- recommendation algorithms
- cold start problem
- latent factor models
- music recommendation
- collaborative filtering recommendation
- probabilistic matrix factorization
- deal with information overload
- cold start
- implicit feedback
- transfer learning
- social tagging systems
- pearson correlation coefficient
- item based collaborative filtering
- multidimensional space
- multidimensional signals
- multidimensional data
- collaborative filtering recommender systems
- collaborative filtering recommendation algorithm
- information retrieval