PipeCF: a scalable DHT-based collaborative filtering recommendation system.
Bo XiePeng HanRuimin ShenPublished in: WWW (Alternate Track Papers & Posters) (2004)
Keyphrases
- collaborative filtering
- recommender systems
- recommendation systems
- matrix factorization
- data sparsity
- deal with information overload
- user preferences
- user based collaborative filtering
- personalized recommendation
- making recommendations
- peer to peer
- lightweight
- resource discovery
- database
- cold start problem
- user behavior
- product recommendation
- user ratings
- highly scalable
- transfer learning
- case study
- clustering algorithm
- real time
- recommendation algorithms
- web scale
- information filtering
- content based filtering
- active user
- latent factor models