Machine Learning Ranking for Structured Information Retrieval.
Jean-Noël VittautPatrick GallinariPublished in: ECIR (2006)
Keyphrases
- machine learning
- information retrieval
- learning to rank
- information extraction
- desktop search
- text mining
- application of machine learning methods
- rank aggregation
- probability ranking principle
- computational linguistics
- maximal marginal relevance
- text processing
- ranking algorithm
- machine learning methods
- ranking functions
- pattern recognition
- structured data
- web search
- biomedical information retrieval
- natural language processing
- search engine
- structured queries
- machine learning algorithms
- decision trees
- learning algorithm
- document retrieval
- information retrieval systems
- document relevance
- question answering
- effective retrieval
- document ranking
- active learning
- information access
- artificial intelligence
- computer science
- link analysis
- language modeling
- language model
- knowledge representation
- text classification
- learning tasks
- retrieval model
- test collection
- feature selection
- real world
- natural language
- query expansion
- document collections
- structured learning
- relevance ranking
- supervised learning
- personalized search
- evaluation measures
- retrieval strategies
- feature ranking
- probabilistic model
- tf idf
- knowledge discovery
- inductive logic programming
- information seeking