Combining Memory-Based and Model-Based Collaborative Filtering in Recommender System.
SongJie GongHongWu YeHengSong TanPublished in: PACCS (2009)
Keyphrases
- collaborative filtering
- recommender systems
- matrix factorization
- interval estimation
- user preferences
- data sparsity
- cold start problem
- information filtering
- recommendation quality
- implicit feedback
- recommendation systems
- personalized recommendation
- online dating
- trust aware
- recommendation algorithms
- probabilistic matrix factorization
- user interests
- user profiles
- user item rating
- pearson correlation coefficient
- making recommendations
- movie recommendation
- neighbor selection
- information retrieval
- content based filtering
- cold start
- user ratings
- information overload
- data driven
- latent factor models
- collaborative recommendation
- rating prediction
- memory based learning
- product recommendation
- user modeling
- netflix prize
- deal with information overload
- learning algorithm