Regularizing Matrix Factorization with User and Item Embeddings for Recommendation.
Thanh TranKyumin LeeYiming LiaoDongwon LeePublished in: CoRR (2018)
Keyphrases
- item recommendation
- matrix factorization
- collaborative filtering
- recommender systems
- personalized ranking
- cold start problem
- tag recommendation
- user preferences
- low rank
- user ratings
- factor analysis
- data sparsity
- negative matrix factorization
- nonnegative matrix factorization
- stochastic gradient descent
- factorization methods
- personalized recommendation
- missing data
- latent factor models
- implicit feedback
- cold start
- variational bayesian
- recommendation algorithms
- user similarity
- natural images
- user profiles
- latent factors
- recommendation systems