Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking.
Tim BaumgärtnerLeonardo F. R. RibeiroNils ReimersIryna GurevychPublished in: CoRR (2022)
Keyphrases
- information seeking
- relevance feedback
- information retrieval
- document retrieval
- document ranking
- information retrieval systems
- interactive information retrieval
- relevant documents
- maximal marginal relevance
- retrieved documents
- query expansion
- learning to rank
- user feedback
- relevance assessments
- retrieval model
- probabilistic retrieval model
- retrieval quality
- retrieval systems
- ranking functions
- retrieved images
- retrieval effectiveness
- retrieval strategies
- retrieval process
- search tasks
- image retrieval
- ranked list
- document collections
- relevance model
- implicit feedback
- pseudo relevance feedback
- search sessions
- test collection
- initial query
- relevance scores
- tf idf
- information resources
- information seeking tasks
- relevance ranking
- vector space model
- web search
- ranking algorithm
- retrieval framework
- language model
- inter document similarities
- exploratory search
- query suggestion
- search engine
- average precision
- query terms
- information extraction
- web searching
- xml retrieval
- evaluation measures
- information seeking activities