Query Expansion with the Minimum User Feedback by Transductive Learning.
Masayuki OkabeKyoji UmemuraSeiji YamadaPublished in: HLT/EMNLP (2005)
Keyphrases
- user feedback
- query expansion
- transductive learning
- relevance feedback
- relevant documents
- active learning
- query disambiguation
- information retrieval systems
- retrieval effectiveness
- semi supervised
- pseudo relevance feedback
- language modeling
- user interaction
- retrieval model
- sentiment classification
- document retrieval
- image retrieval
- information retrieval
- query terms
- language model
- user profiles
- learning algorithm
- collaborative filtering
- learning to rank
- search queries
- pairwise
- decision trees
- machine learning
- search engine
- semi supervised learning