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» Adapting information retrieval systems to user queries
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KDD
2009
ACM
210views Data Mining» more  KDD 2009»
16 years 1 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel
DGO
2003
139views Education» more  DGO 2003»
15 years 8 months ago
Better Public Policy Through Natural Language Information Access
Federal agencies implement laws passed by the Congress by creating rules and regulations that can be applied in practice. During this process, staffs at the various agencies may r...
Boris Katz, Roger Hurwitz, Jimmy J. Lin, Özle...
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
16 years 1 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
SIGMOD
2007
ACM
207views Database» more  SIGMOD 2007»
16 years 6 months ago
MySearchView: a customized metasearch engine generator
In this paper, we describe MySearchView ? a system for assembling search engines into metasearch engines. With this system, any user can create a metasearch engine by simply letti...
Yiyao Lu, Zonghuan Wu, Hongkun Zhao, Weiyi Meng, K...
WSDM
2009
ACM
131views Data Mining» more  WSDM 2009»
16 years 1 months ago
Diversifying search results
We study the problem of answering ambiguous web queries in a setting where there exists a taxonomy of information, and that both queries and documents may belong to more than one ...
Rakesh Agrawal, Sreenivas Gollapudi, Alan Halverso...