TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback.
Hui-Huai QiuGuibing GuoJie ZhangZhu SunHai Thanh NguyenYun LiuPublished in: UMAP (2016)
Keyphrases
- personalized ranking
- implicit feedback
- bayesian analysis
- eye tracking
- user behavior
- matrix factorization
- user feedback
- recommender systems
- web search
- collaborative filtering
- relevance feedback
- explicit feedback
- user preferences
- contextual information
- cold start
- computationally feasible
- search result
- relevance judgments
- information retrieval
- average precision
- personalized recommendation
- search engine