Deep Transfer Collaborative Filtering for Recommender Systems.
Sibo GaiFeng ZhaoYachen KangZhengyu ChenDonglin WangAo TangPublished in: PRICAI (3) (2019)
Keyphrases
- recommender systems
- collaborative filtering
- transfer learning
- matrix factorization
- data sparsity
- cold start problem
- information filtering
- user preferences
- personalized recommendation
- information overload
- collaborative filtering algorithms
- user profiles
- implicit feedback
- recommendation quality
- user ratings
- recommendation algorithms
- item based collaborative filtering
- cross domain
- user modelling
- cold start
- product recommendation
- knowledge transfer
- user model
- neighbor selection
- trust aware
- rating matrix
- content based filtering
- information retrieval
- user modeling
- user interests
- probabilistic matrix factorization
- netflix prize
- user profiling
- pearson correlation coefficient
- movie recommendation
- item recommendation
- rating prediction
- active user
- web content
- reinforcement learning