Fully Utilize Feedbacks: Language Model Based Relevance Feedback in Information Retrieval.
Sheng-Long LvZhi-Hong DengHang YuNing GaoJia-Jian JiangPublished in: ADMA (1) (2011)
Keyphrases
- relevance feedback
- information retrieval
- information retrieval systems
- query expansion
- document retrieval
- computational linguistics
- user feedback
- image retrieval
- programming language
- relevant documents
- feedback information
- retrieval model
- retrieval effectiveness
- low level features
- retrieval process
- image search
- cbir systems
- natural language
- active learning
- language learning
- document collections
- pseudo relevance feedback
- retrieval framework
- language processing
- test collection
- vector space model
- negative feedback
- text mining
- query refinement
- sparck jones
- learning to rank
- information extraction
- target language
- retrieved documents
- relevance judgments
- search tasks
- language model
- language modeling