Exploiting matrix factorization to asymmetric user similarities in recommendation systems.
Parivash PirastehDosam HwangJason J. JungPublished in: Knowl. Based Syst. (2015)
Keyphrases
- recommendation systems
- matrix factorization
- collaborative filtering
- recommender systems
- recommendation quality
- user preferences
- item recommendation
- low rank
- data sparsity
- recommendation algorithms
- factor analysis
- tag recommendation
- nonnegative matrix factorization
- negative matrix factorization
- factorization methods
- social recommendation
- probabilistic matrix factorization
- user ratings
- user feedback
- user profiles
- information overload
- user interests
- personalized recommendation
- implicit feedback
- user model
- transfer learning
- user interface
- cold start problem
- user similarity
- user behavior