High Dimensional Explicit Feature Biased Matrix Factorization Recommendation.
Weibin SunXianchao ZhangWenxin LiangZengyou HePublished in: PAKDD Workshops (2015)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- high dimensional
- item recommendation
- data sparsity
- latent factor models
- cold start problem
- low rank
- factorization methods
- negative matrix factorization
- nonnegative matrix factorization
- factor analysis
- recommendation systems
- implicit feedback
- missing data
- rating prediction
- cold start
- personalized recommendation
- user preferences
- data points
- latent factors
- tensor factorization
- personalized ranking
- data sets
- probabilistic matrix factorization
- stochastic gradient descent
- user interests
- user feedback
- text mining
- nearest neighbor
- feature vectors
- user profiles
- variational bayesian
- image features
- feature selection