A scalable P2P recommender system based on distributed collaborative filtering.
Peng HanBo XieFan YangRuimin ShenPublished in: Expert Syst. Appl. (2004)
Keyphrases
- collaborative filtering
- recommender systems
- scalable distributed
- peer to peer
- fully distributed
- matrix factorization
- distributed environment
- cold start problem
- distributed systems
- user preferences
- distributed network
- cold start
- data sparsity
- cooperative
- product recommendation
- information filtering
- recommendation quality
- netflix prize
- user ratings
- lightweight
- peer to peer networks
- user item rating
- implicit feedback
- personalized recommendation
- recommendation systems
- query routing
- commodity hardware
- content based filtering
- peer to peer systems
- multi agent
- transfer learning
- data sharing
- file sharing
- active user
- high scalability
- user behavior
- mobile agents
- movie recommendation
- resource sharing
- probabilistic matrix factorization
- deal with information overload