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» Mining search engine query logs via suggestion sampling
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CIKM
2003
Springer
13 years 9 months 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...
SIGIR
2010
ACM
13 years 8 months ago
The demographics of web search
How does the web search behavior of “rich” and “poor” people differ? Do men and women tend to click on different results for the same query? What are some queries almost...
Ingmar Weber, Carlos Castillo
WWW
2006
ACM
13 years 10 months ago
Do not crawl in the DUST: different URLs with similar text
We consider the problem of dust: Different URLs with Similar Text. Such duplicate URLs are prevalent in web sites, as web server software often uses aliases and redirections, and...
Uri Schonfeld, Ziv Bar-Yossef, Idit Keidar
KDD
2009
ACM
248views Data Mining» more  KDD 2009»
13 years 9 months ago
PSkip: estimating relevance ranking quality from web search clickthrough data
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
Kuansan Wang, Toby Walker, Zijian Zheng
SDM
2004
SIAM
174views Data Mining» more  SDM 2004»
13 years 5 months ago
Classifying Documents Without Labels
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
Daniel Barbará, Carlotta Domeniconi, Ning K...