A split-list approach for relevance feedback in information retrieval.
Ho Chung WuRobert W. P. LukKam-Fai WongJian-Yun NiePublished in: Inf. Process. Manag. (2012)
Keyphrases
- relevance feedback
- information retrieval
- information retrieval systems
- query expansion
- retrieval model
- document retrieval
- relevant documents
- image retrieval
- query refinement
- retrieval process
- low level features
- retrieval effectiveness
- sparck jones
- user system interaction
- test collection
- search engine
- retrieval accuracy
- image search
- user feedback
- text retrieval
- active learning
- pseudo relevance feedback
- cbir systems
- vector space model
- text mining
- feedback information
- negative feedback
- feature weighting
- retrieval framework
- information filtering
- probabilistic retrieval model
- co occurrence
- language model
- question answering
- retrieval systems
- probabilistic model
- relevance judgments
- tf idf
- information access
- ranked list
- learning to rank
- document collections