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SIGIR
2008
ACM
14 years 9 months ago
A bayesian logistic regression model for active relevance feedback
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
Zuobing Xu, Ram Akella
SIGIR
2010
ACM
15 years 1 months ago
Evaluating whole-page relevance
Whole page relevance defines how well the surface-level representation of all elements on a search result page and the corresponding holistic attributes of the presentation respon...
Peter Bailey, Nick Craswell, Ryen W. White, Liwei ...
SIGIR
2008
ACM
14 years 9 months ago
Optimizing relevance and revenue in ad search: a query substitution approach
The primary business model behind Web search is based on textual advertising, where contextually relevant ads are displayed alongside search results. We address the problem of sel...
Filip Radlinski, Andrei Z. Broder, Peter Ciccolo, ...
CIKM
2009
Springer
15 years 4 months ago
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungc...
CIVR
2010
Springer
199views Image Analysis» more  CIVR 2010»
15 years 2 months ago
Unsupervised multi-feature tag relevance learning for social image retrieval
Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging problem in social image retrieval. In the literature this proble...
Xirong Li, Cees G. M. Snoek, Marcel Worring