Mining Specific and General Features in Both Positive and Negative Relevance Feedback: QUT E-Discovery Lab at the TREC 2010 Relevance Feedback Track.
Abdulmohsen AlgarniYuefeng LiXiaohui TaoPublished in: TREC (2010)
Keyphrases
- relevance feedback
- positive and negative
- extracted features
- information retrieval systems
- feature weighting
- cbir systems
- information retrieval
- low level features
- relevance judgements
- active learning
- document retrieval
- pseudo relevance feedback
- user feedback
- decision rules
- feature extraction
- training instances
- feature vectors
- query expansion
- image retrieval
- relevance judgments
- retrieval model
- retrieval effectiveness
- relevant documents
- positive or negative
- negative feedback
- probabilistic retrieval model
- feature set
- text mining
- feature space
- text categorization
- probabilistic model
- support vector