Content Embedding Regularized Matrix Factorization for Recommender Systems.
Hao WuZhengxin ZhangKun YueBinbin ZhangRuichao ZhuPublished in: BigData Congress (2017)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- low rank
- user generated content
- factorization methods
- user interests
- cold start problem
- data sparsity
- factor analysis
- probabilistic matrix factorization
- implicit feedback
- tensor factorization
- variational bayesian
- user preferences
- negative matrix factorization
- stochastic gradient descent
- recommendation quality
- item recommendation
- nonnegative matrix factorization
- cold start
- latent factor models
- rating prediction
- web content
- missing data
- least squares
- user experience
- user profiles
- unsupervised learning
- personalized ranking