GAN-Based Deep Matrix Factorization for Recommendation Systems.
Qingqin WangYun XiongYangyong ZhuPublished in: ICDS (2019)
Keyphrases
- matrix factorization
- recommendation systems
- collaborative filtering
- recommender systems
- data sparsity
- user preferences
- low rank
- factor analysis
- factorization methods
- recommendation quality
- collaborative filtering recommendation algorithm
- social recommendation
- personalized recommendation
- information overload
- structuring elements
- probabilistic matrix factorization
- latent factors
- stochastic gradient descent
- missing data
- implicit feedback
- transfer learning
- nonnegative matrix factorization
- negative matrix factorization
- learning to rank
- recommendation algorithms
- tag recommendation
- cold start
- tensor factorization
- user profiles
- item recommendation
- support vector
- co occurrence
- factor matrices
- information retrieval systems
- link prediction