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