Practical User Feedback-driven Internal Search Using Online Learning to Rank.
Rajhans SamdaniPierre RappoltAnkit GoyalPratyus PatnaikPublished in: CoRR (2019)
Keyphrases
- user feedback
- learning to rank
- intranet search
- search sessions
- ranking functions
- amazon mechanical turk
- information retrieval
- clickthrough data
- balancing exploration and exploitation
- query dependent
- retrieval process
- loss function
- ranking svm
- evaluation measures
- query suggestion
- relevance judgments
- implicit feedback
- document retrieval
- user clicks
- learning to rank algorithms
- evaluation metrics
- user interaction
- retrieval systems
- ranking models
- decision trees
- relevant documents
- test collection
- training data
- search queries
- user queries
- document collections
- supervised learning
- click data
- metadata