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» Predicting web spam with HTTP session information
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IJCAI
2003
13 years 10 months ago
Predicting Web Information Content
In this paper, we propose a novel method to infer the web user’s Information Content (IC), which is the information that the user must examine to complete her task. In particula...
Tingshao Zhu, Russell Greiner, Gerald Häubl, ...
SIGIR
2006
ACM
14 years 2 months ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
SIGIR
2012
ACM
11 years 11 months ago
Search, interrupted: understanding and predicting search task continuation
Many important search tasks require multiple search sessions to complete. Tasks such as travel planning, large purchases, or job searches can span hours, days, or even weeks. Inev...
Eugene Agichtein, Ryen W. White, Susan T. Dumais, ...
ITCC
2000
IEEE
14 years 29 days ago
Towards Knowledge Discovery from WWW Log Data
As the result of interactions between visitors and a web site, an http log file contains very rich knowledge about users on-site behaviors, which, if fully exploited, can better c...
Feng Tao, Fionn Murtagh
CHI
2009
ACM
14 years 9 months ago
Predicting query reformulation during web searching
This paper reports results from a study in which we automatically classified the query reformulation patterns for 964,780 Web searching sessions (composed of 1,523,072 queries) in...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink