Active Learning with Support Vector Machines in the Relevance Feedback Document Retrieval.
Takashi OnodaHiroshi MurataSeiji YamadaPublished in: ICARCV (2006)
Keyphrases
- document retrieval
- relevance feedback
- active learning
- relevant documents
- information retrieval systems
- user feedback
- retrieval model
- query expansion
- semi supervised
- text retrieval
- ranking functions
- supervised learning
- cross language
- pseudo relevance feedback
- retrieved documents
- spreading activation
- learning process
- image retrieval
- relevance judgments
- learning algorithm
- training set
- retrieval effectiveness
- information retrieval
- document indexing
- machine learning
- retrieval strategies
- passage retrieval
- inverted index
- learning to rank
- query terms
- labeled data
- feature selection
- document ranking
- databases
- xml retrieval
- relevance model
- digital libraries
- learning environment
- semantic mapping