Transfer collaborative filtering from multiple sources via consensus regularization.
Fuzhen ZhuangJing ZhengJingwu ChenXiangliang ZhangChuan ShiQing HePublished in: Neural Networks (2018)
Keyphrases
- multiple sources
- collaborative filtering
- transfer learning
- user interests
- recommender systems
- matrix factorization
- data sparsity
- data sources
- domain adaptation
- multi source
- recommendation systems
- knowledge transfer
- prior information
- user preferences
- heterogeneous sources
- regularization parameter
- pearson correlation coefficient
- making recommendations
- deal with information overload
- cross domain
- general purpose
- target domain
- database
- multiple data sources
- data from multiple sources
- user profiles
- web page recommendation
- databases