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» Analysis of Web Search Engine Clicked Documents
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WWW
2010
ACM
14 years 4 months ago
Large-scale bot detection for search engines
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
TKDE
2008
198views more  TKDE 2008»
13 years 9 months ago
Web People Search via Connection Analysis
Nowadays, searches for the web pages of a person with a given name constitute a notable fraction of queries to Web search engines. Such a query would normally return web pages rela...
Dmitri V. Kalashnikov, Zhaoqi Chen, Sharad Mehrotr...
WWW
2001
ACM
14 years 10 months ago
Placing search in context: the concept revisited
We describe a new paradigm for performing search in context. In the IntelliZap system we developed, search is initiated from a text query marked by the user in a document she view...
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias...
WWW
2010
ACM
14 years 4 months ago
The anatomy of a large-scale social search engine
We present Aardvark, a social search engine. With Aardvark, users ask a question, either by instant message, email, web input, text message, or voice. Aardvark then routes the que...
Damon Horowitz, Sepandar D. Kamvar
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
14 years 9 months ago
Bypass rates: reducing query abandonment using negative inferences
We introduce a new approach to analyzing click logs by examining both the documents that are clicked and those that are bypassed--documents returned higher in the ordering of the ...
Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong