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» Predicting Web Information Content
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SIGIR
2011
ACM
14 years 7 months ago
Why searchers switch: understanding and predicting engine switching rationales
Search engine switching is the voluntary transition between Web search engines. Engine switching can occur for a number of reasons, including user dissatisfaction with search resu...
Qi Guo, Ryen W. White, Yunqiao Zhang, Blake Anders...
136
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WWW
2006
ACM
16 years 5 months ago
CWS: a comparative web search system
In this paper, we define and study a novel search problem: Comparative Web Search (CWS). The task of CWS is to seek relevant and comparative information from the Web to help users...
Jian-Tao Sun, Xuanhui Wang, Dou Shen, Hua-Jun Zeng...
ICWN
2008
15 years 6 months ago
Progressive Content-Sensitive Data Retrieval in Sensor Networks
: Problem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data)...
Bo Yang, Mareboyana Manohar, Shaoying Kou
WWW
2007
ACM
16 years 5 months ago
Classifying web sites
In this paper, we present a novel method for the classification of Web sites. This method exploits both structure and content of Web sites in order to discern their functionality....
Christoph Lindemann, Lars Littig
161
Voted
WISE
2006
Springer
15 years 11 months ago
Calculation of Target Locations for Web Resources
. A location-based search engine must be able to find and assign proper locations to Web resources. Host, content and metadata location information are not sufficient to describe t...
Saeid Asadi, Jiajie Xu, Yuan Shi, Joachim Diederic...