Convolutional Matrix Factorization for Recommendation Explanation.
Yichao LuRuihai DongBarry SmythPublished in: IUI Companion (2018)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- cold start problem
- latent factor models
- low rank
- recommendation systems
- nonnegative matrix factorization
- negative matrix factorization
- user preferences
- rating prediction
- personalized recommendation
- implicit feedback
- personalized ranking
- factor analysis
- variational bayesian
- missing data
- data matrix
- factorization methods
- tensor factorization
- stochastic gradient descent
- recommendation algorithms
- latent factors
- factorization method
- cold start
- search engine
- user feedback
- probabilistic matrix factorization