Machine Learning for Information Retrieval: TREC 2009 Web, Relevance Feedback and Legal Tracks.
Gordon V. CormackMona MojdehPublished in: TREC (2009)
Keyphrases
- relevance feedback
- information retrieval
- machine learning
- trec web
- test collection
- information retrieval systems
- retrieval model
- relevant documents
- retrieval effectiveness
- document retrieval
- active learning
- query expansion
- text mining
- image retrieval
- retrieval process
- information extraction
- document collections
- query refinement
- user feedback
- application of machine learning methods
- computational linguistics
- search tasks
- learning algorithm
- machine learning algorithms
- search engine
- user system interaction
- data mining
- support vector machine
- vector space model
- retrieval systems
- knowledge acquisition
- knowledge discovery
- knowledge representation
- feature selection
- sparck jones
- learning to rank
- artificial intelligence
- computer vision
- legal knowledge
- reinforcement learning
- pseudo relevance feedback
- legal reasoning
- web pages
- retrieval framework
- legal information
- legal information retrieval
- text processing
- inference network model
- computer science
- tf idf