Probabilistic document-context based relevance feedback with limited relevance judgments.
Ho Chung WuRobert Wing Pong LukKam-Fai WongK. L. KwokPublished in: CIKM (2006)
Keyphrases
- relevance judgments
- relevance feedback
- relevant documents
- retrieval systems
- information retrieval systems
- test collection
- document retrieval
- information retrieval
- retrieval effectiveness
- retrieved documents
- document collections
- implicit feedback
- user feedback
- documents retrieved
- query expansion
- average precision
- human relevance judgments
- query performance prediction
- retrieval model
- relevance assessments
- pseudo relevance feedback
- learning to rank
- evaluation measures
- relevance scores
- ranked list
- web documents
- clickthrough data
- probabilistic model
- vector space model
- image retrieval
- bayesian networks
- ranking functions
- search engine
- web search engines
- active learning
- xml retrieval
- multimedia
- text categorization
- machine learning