Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback.
Lei FengHongxin WeiQingyu GuoZhuoyi LinBo AnPublished in: IEEE Intell. Syst. (2021)
Keyphrases
- matrix factorization
- implicit feedback
- collaborative filtering
- recommender systems
- item recommendation
- personalized ranking
- explicit feedback
- cold start
- cold start problem
- data sparsity
- tensor factorization
- factor analysis
- missing data
- latent factor models
- personalized recommendation
- latent factors
- negative matrix factorization
- nonnegative matrix factorization
- factorization methods
- user feedback
- user ratings
- recommendation systems
- user preferences
- probabilistic model
- search engine
- web search
- recommendation algorithms
- vector space
- eye tracking