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» Improving the Evaluation of Web Search Systems
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SIGIR
2005
ACM
14 years 28 days ago
Automated evaluation of search engine performance via implicit user feedback
Measuring the information retrieval effectiveness of Web search engines can be expensive if human relevance judgments are required to evaluate search results. Using implicit user ...
Himanshu Sharma, Bernard J. Jansen
CIKM
2003
Springer
14 years 18 days ago
Using titles and category names from editor-driven taxonomies for automatic evaluation
Evaluation of IR systems has always been difficult because of the need for manually assessed relevance judgments. The advent of large editor-driven taxonomies on the web opens the...
Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury...
IEEECIT
2009
IEEE
14 years 2 months ago
Applying Collective Intelligence for Search Improvement on Thai Herbal Information
— Knowledge about herbal medicine can be contributed from experts in several cultures. With the conventional techniques, it is hard to find the way which the experts can build a ...
Verayuth Lertnattee, Sinthop Chomya, Thanaruk Thee...
CHI
2011
ACM
12 years 11 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
SIGIR
2010
ACM
13 years 11 months ago
The importance of anchor text for ad hoc search revisited
It is generally believed that propagated anchor text is very important for effective Web search as offered by the commercial search engines. “Google Bombs” are a notable illus...
Marijn Koolen, Jaap Kamps