Fair Learning-to-Rank from Implicit Feedback.
Himank YadavZhengxiao DuThorsten JoachimsPublished in: CoRR (2019)
Keyphrases
- learning to rank
- implicit feedback
- relevance judgments
- user feedback
- collaborative filtering
- ranking functions
- explicit feedback
- information retrieval
- loss function
- user behavior
- eye tracking
- web search
- evaluation measures
- document retrieval
- recommender systems
- evaluation metrics
- matrix factorization
- query dependent
- supervised learning
- retrieval systems
- relevance feedback
- clickthrough data
- ranking models
- contextual information
- data sets
- recommendation systems
- retrieval effectiveness
- human computer interaction
- retrieval model
- test collection
- web search engines
- document collections