U-rank: Utility-oriented Learning to Rank with Implicit Feedback.
Xinyi DaiJiawei HouQing LiuYunjia XiRuiming TangWeinan ZhangXiuqiang HeJun WangYong YuPublished in: CIKM (2020)
Keyphrases
- learning to rank
- implicit feedback
- relevance judgments
- user feedback
- collaborative filtering
- ranking models
- ranking functions
- explicit feedback
- information retrieval
- eye tracking
- recommender systems
- web search
- loss function
- ranking svm
- user behavior
- document retrieval
- evaluation measures
- search result
- matrix factorization
- clickthrough data
- evaluation metrics
- test collection
- retrieval systems
- personalized recommendation
- contextual information
- supervised learning
- search tasks
- query suggestion
- search logs
- directly optimize
- user profiles
- relevance feedback
- feature space
- reinforcement learning