Proceedings of the 18th ACM Conference on Information and Knowledge Management, Hong Kong
ISBN
9781605585123
Event
18th ACM Conference on Information and Knowledge Management (CIKM 2009), Hong Kong, China
Pages (from-to)
1903-1906
Publisher
New York: ACM
Organisations
Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
Leveraging information from relevance assessments has been proposed as an effective means for improving retrieval. We introduce a novel language modeling method which uses information from each assessed document and their aggregate. While most previous approaches focus either on features of the entire set or on features of the individual relevant documents, our model exploits features of both the documents and the set as a whole. When evaluated, we show that our model is able to significantly improve over state-of-art feedback methods.
