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» Adaptive relevance feedback in information retrieval
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KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 9 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
CIKM
2009
Springer
14 years 3 months ago
Improving web page classification by label-propagation over click graphs
In this paper, we present a semi-supervised learning method for web page classification, leveraging click logs to augment training data by propagating class labels to unlabeled si...
Soo-Min Kim, Patrick Pantel, Lei Duan, Scott Gaffn...
CCS
2011
ACM
12 years 8 months ago
SURF: detecting and measuring search poisoning
Search engine optimization (SEO) techniques are often abused to promote websites among search results. This is a practice known as blackhat SEO. In this paper we tackle a newly em...
Long Lu, Roberto Perdisci, Wenke Lee
MIDDLEWARE
2005
Springer
14 years 2 months ago
Adaptive query processing in mobile environment
These last years, the evolution of nomadic terminals and mobile networks has yield to the development of the ubiquitous computing. In this context, actual query evaluation and opt...
Hocine Grine, Thierry Delot, Sylvain Lecomte
CHI
2011
ACM
13 years 6 days 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