CCCF: Improving Collaborative Filtering via Scalable User-Item Co-Clustering.
Yao WuXudong LiuMin XieMartin EsterQing YangPublished in: WSDM (2016)
Keyphrases
- collaborative filtering
- recommender systems
- matrix factorization
- recommendation systems
- data sparsity
- clustering algorithm
- text mining
- user profiles
- transfer learning
- highly scalable
- user ratings
- relational data
- probabilistic matrix factorization
- neighbor selection
- recommendation quality
- web scale
- data mining
- social networks
- machine learning