Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback.
Yong LiuLifan ZhaoGuimei LiuXinyan LuPeng GaoXiao-Li LiZhihui JinPublished in: IJCAI (2018)
Keyphrases
- matrix factorization
- implicit feedback
- collaborative filtering
- recommender systems
- item recommendation
- personalized ranking
- explicit feedback
- cold start
- data sparsity
- factorization methods
- cold start problem
- missing data
- latent factor models
- factor analysis
- negative matrix factorization
- eye tracking
- nonnegative matrix factorization
- latent factors
- personalized recommendation
- web search
- recommendation systems
- user behavior
- user profiles
- user preferences
- contextual information
- tensor factorization