Support Vector Machines Based Active Learning for the Relevance Feedback Document Retrieval.
Takashi OnodaHiroshi MurataSeiji YamadaPublished in: IAT Workshops (2006)
Keyphrases
- document retrieval
- relevance feedback
- active learning
- support vector
- large margin classifiers
- retrieval model
- relevant documents
- query expansion
- user feedback
- image retrieval
- pseudo relevance feedback
- learning to rank
- retrieved documents
- ranking functions
- document indexing
- cross language
- information retrieval systems
- text retrieval
- machine learning
- learning algorithm
- information retrieval
- learning process
- document ranking
- passage retrieval
- classification accuracy
- inverted index
- supervised learning
- language model
- feature selection
- retrieval effectiveness
- retrieval process
- retrieval strategies
- labeled data
- training data
- xml retrieval
- xml elements
- document collections
- training set
- databases