Query chains: learning to rank from implicit feedback.
Filip RadlinskiThorsten JoachimsPublished in: KDD (2005)
Keyphrases
- learning to rank
- relevance judgments
- implicit feedback
- ranking functions
- ranking svm
- user feedback
- collaborative filtering
- clickthrough data
- query dependent
- information retrieval
- relevance feedback
- evaluation measures
- loss function
- retrieval systems
- evaluation metrics
- test collection
- document retrieval
- web search
- relevant documents
- ranking models
- query expansion
- query suggestion
- average precision
- web search engines
- matrix factorization
- query processing
- feature extraction
- similarity measure
- recommender systems
- search logs
- retrieval effectiveness
- active learning
- information extraction
- search queries
- information retrieval systems
- pairwise
- ranking algorithm
- user behavior