Integrating Ratings and Pairwise Preferences in Recommender Systems.
Saikishore KallooriFrancesco RicciPublished in: IIR (2018)
Keyphrases
- user interests
- recommender systems
- user preferences
- pairwise
- collaborative filtering
- user profiles
- personalized recommendation
- user behavior
- making recommendations
- netflix prize
- cold start problem
- cold start
- collaborative filtering algorithms
- matrix factorization
- user similarity
- user ratings
- personal preferences
- preference learning
- data sparsity
- similarity measure
- recommendation algorithms
- multi class
- recommendation systems
- product recommendation
- information overload
- user feedback
- rating prediction
- semi supervised
- implicit feedback
- pairwise comparisons
- latent factor models
- collaborative filtering recommender systems
- social networks
- markov random field
- active user
- loss function
- user interaction
- demographic information
- pairwise interactions
- collaborative recommendation
- soft constraints