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CHI
2011
ACM
12 years 8 months ago
No clicks, no problem: using cursor movements to understand and improve search
Understanding how people interact with search engines is important in improving search quality. Web search engines typically analyze queries and clicked results, but these actions...
Jeff Huang, Ryen W. White, Susan T. Dumais
DEXAW
2009
IEEE
139views Database» more  DEXAW 2009»
13 years 11 months ago
Improving Web Page Retrieval Using Search Context from Clicked Domain Names
Abstract—Search context is a crucial factor that helps to understand a user’s information need in ad-hoc Web page retrieval. A query log of a search engine contains rich inform...
Rongmei Li
WWW
2008
ACM
14 years 5 months ago
Behavioral classification on the click graph
A bipartite query-URL graph, where an edge indicates that a document was clicked for a query, is a useful construct for finding groups of related queries and URLs. Here we use thi...
Martin Szummer, Nick Craswell
PAMI
2012
11 years 7 months ago
IntentSearch: Capturing User Intention for One-Click Internet Image Search
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, Xiaogan...
JASIS
2010
170views more  JASIS 2010»
13 years 3 months ago
Analyzing URL queries
This study investigated a relatively unexamined query type, queries composed of URLs. The extent, variation and user click-through behavior was examined to determine the intent be...
Wei Meng Lee, Mark Sanderson