The Curious Case of IR Explainability: Explaining Document Scores within and across Ranking Models.
Procheta SenDebasis GangulyManisha VermaGareth J. F. JonesPublished in: SIGIR (2020)
Keyphrases
- information retrieval
- learning to rank
- ranking models
- information retrieval systems
- learning to rank algorithms
- normalized discounted cumulative gain
- ranking functions
- precision and recall
- document retrieval
- evaluation measures
- retrieval systems
- text retrieval
- ranked list
- web search
- loss function
- query expansion
- directly optimize
- relevance feedback
- test collection
- text documents
- benchmark datasets
- document ranking
- retrieval quality
- probabilistic model