Kernelized probabilistic matrix factorization for collaborative filtering: exploiting projected user and item graph.
Bithika PalMamata JenamaniPublished in: RecSys (2018)
Keyphrases
- collaborative filtering
- probabilistic matrix factorization
- item recommendation
- user preferences
- recommender systems
- matrix factorization
- user ratings
- collaborative filtering recommendation algorithm
- making recommendations
- cold start problem
- cold start
- personalized recommendation
- data sparsity
- recommendation algorithms
- active user
- user similarity
- recommendation systems
- user profiles
- user interests
- hybrid recommendation
- item based collaborative filtering
- pearson correlation coefficient
- recommendation quality
- latent factor models
- user specific
- implicit feedback
- transfer learning
- collaborative filtering algorithms
- collaborative recommendation
- content based filtering
- user interaction
- user behavior
- user model
- image segmentation
- user interface