Rank-Ordering Documents According to Their Relevance in Information Retrieval Using Refinements of Ordered-Weighted Aggregations.
Mohand BoughanemYannick LoiseauHenri PradePublished in: Adaptive Multimedia Retrieval (2005)
Keyphrases
- information retrieval
- ranking models
- ranking functions
- information retrieval systems
- relevance feedback
- ranked list
- test collection
- learning to rank
- search engine
- rank order
- relevant documents
- language model
- relevance scores
- retrieval effectiveness
- probabilistic retrieval models
- relevance ranking
- information extraction
- partial order
- information access
- discounted cumulative gain
- descending order
- retrieval systems
- document collections
- language modeling
- vector space model
- partially ordered
- document relevance
- rank aggregation
- data mining
- data warehouse
- text mining
- query expansion
- order statistics
- sql queries
- question answering