On Text Ranking for Information Retrieval Based on Degree of Preference.
Bo-Yeong KangDae-Won KimPublished in: CICLing (2006)
Keyphrases
- information retrieval
- learning to rank
- text mining
- text retrieval
- computational linguistics
- document collections
- information retrieval systems
- document ranking
- web search
- rank aggregation
- document retrieval
- multiple criteria
- search engine
- effective retrieval
- linguistic analysis
- textual features
- pairwise comparisons
- desktop search
- maximal marginal relevance
- cross media retrieval
- information extraction
- ranking algorithm
- text collections
- probability ranking principle
- query expansion
- test collection
- vector space model
- document corpus
- multi attribute
- latent semantic indexing
- relevance ranking
- ranking models
- pairwise comparison
- text processing
- preference learning
- structured documents
- tf idf
- collaborative filtering
- latent semantic analysis
- retrieve documents
- relevant documents
- ranking functions
- language modeling
- information access
- term weighting
- preference relations