CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems.
Jianxun LianFuzheng ZhangXing XieGuangzhong SunPublished in: WWW (Companion Volume) (2017)
Keyphrases
- cross domain
- collaborative filtering
- recommender systems
- transfer learning
- neural network
- matrix factorization
- data sparsity
- knowledge transfer
- user interests
- user preferences
- domain adaptation
- sentiment classification
- multiple domains
- text categorization
- personalized recommendation
- cold start
- learning tasks
- recommendation systems
- cross domain learning
- probabilistic matrix factorization
- user profiles
- recommendation quality
- cold start problem
- product recommendation
- latent factor models
- collaborative filtering algorithms
- target domain
- information systems
- item based collaborative filtering
- reinforcement learning
- user ratings
- user similarity
- knowledge discovery
- netflix prize
- recommendation algorithms
- hybrid recommendation
- data mining