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WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
12 years 3 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
SIGIR
2011
ACM
12 years 10 months ago
Find it if you can: a game for modeling different types of web search success using interaction data
A better understanding of strategies and behavior of successful searchers is crucial for improving the experience of all searchers. However, research of search behavior has been s...
Mikhail Ageev, Qi Guo, Dmitry Lagun, Eugene Agicht...
ACL
2010
13 years 5 months ago
Wikipedia as Sense Inventory to Improve Diversity in Web Search Results
Is it possible to use sense inventories to improve Web search results diversity for one word queries? To answer this question, we focus on two broad-coverage lexical resources of ...
Celina Santamaría, Julio Gonzalo, Javier Ar...
WWW
2008
ACM
14 years 8 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
CCS
2011
ACM
12 years 7 months ago
Cloak and dagger: dynamics of web search cloaking
Cloaking is a common “bait-and-switch” technique used to hide the true nature of a Web site by delivering blatantly different semantic content to different user segments. It i...
David Y. Wang, Stefan Savage, Geoffrey M. Voelker