A probabilistic model for item-based recommender systems.
Ming LiM. Benjamin DiasWael El-DeredyPaulo J. G. LisboaPublished in: RecSys (2007)
Keyphrases
- recommender systems
- probabilistic model
- collaborative filtering
- item based collaborative filtering
- generative model
- cold start problem
- bayesian networks
- matrix factorization
- user preferences
- language model
- data sparsity
- movie recommendation
- user profiles
- information filtering
- information overload
- recommendation algorithms
- cold start
- expectation maximization
- user feedback
- user interests
- trust aware
- recommendation systems
- recommendation quality
- active user
- implicit feedback
- user modeling
- user profiling
- product recommendation
- personalized recommendation
- personal preferences
- information retrieval
- search engine
- artificial intelligence