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SIGIR
2006
ACM
13 years 11 months ago
Improving web search ranking by incorporating user behavior information
We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting. We examine alternatives for incorporating feedback into...
Eugene Agichtein, Eric Brill, Susan T. Dumais
SIGIR
2008
ACM
13 years 5 months ago
User adaptation: good results from poor systems
Several recent studies have found only a weak relationship between the performance of a retrieval system and the "success" achievable by human searchers. We hypothesize ...
Catherine L. Smith, Paul B. Kantor
WWW
2008
ACM
14 years 6 months ago
Determining user's interest in real time
Most of the search engine optimization techniques attempt to predict users interest by learning from the past information collected from different sources. But, a user's curr...
Sanasam Ranbir Singh, Hema A. Murthy, Timothy A. G...
WWW
2007
ACM
14 years 6 months ago
Why we search: visualizing and predicting user behavior
The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper...
Eytan Adar, Daniel S. Weld, Brian N. Bershad, Stev...
WSDM
2010
ACM
197views Data Mining» more  WSDM 2010»
14 years 14 days ago
Beyond DCG: user behavior as a predictor of a successful search
Web search engines are traditionally evaluated in terms of the relevance of web pages to individual queries. However, relevance of web pages does not tell the complete picture, si...
Ahmed Hassan, Rosie Jones, Kristina Lisa Klinkner