Correlated Matrix Factorization for Recommendation with Implicit Feedback.
Yuan HeCheng WangChangjun JiangPublished in: IEEE Trans. Knowl. Data Eng. (2019)
Keyphrases
- matrix factorization
- implicit feedback
- collaborative filtering
- recommender systems
- item recommendation
- cold start
- explicit feedback
- personalized ranking
- cold start problem
- data sparsity
- factor analysis
- negative matrix factorization
- factorization methods
- tensor factorization
- nonnegative matrix factorization
- missing data
- recommendation systems
- latent factor models
- personalized recommendation
- user preferences
- latent factors
- website
- user profiles
- information overload
- user feedback
- loss function
- co occurrence
- web search
- learning to rank