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» Session 12: Information Retrieval
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WWW
2008
ACM
15 years 10 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...
SIGIR
2010
ACM
15 years 1 months ago
Ready to buy or just browsing?: detecting web searcher goals from interaction data
An improved understanding of the relationship between search intent, result quality, and searcher behavior is crucial for improving the effectiveness of web search. While recent p...
Qi Guo, Eugene Agichtein
MM
2005
ACM
141views Multimedia» more  MM 2005»
15 years 3 months ago
SEVA: sensor-enhanced video annotation
In this paper, we study how a sensor-rich world can be exploited by digital recording devices such as cameras and camcorders to improve a user’s ability to search through a larg...
Xiaotao Liu, Mark D. Corner, Prashant J. Shenoy
CIKM
2009
Springer
15 years 4 months ago
Characterizing and predicting search engine switching behavior
Search engine switching describes the voluntarily transition from one Web search engine to another. In this paper we present a study of search engine switching behavior that combi...
Ryen W. White, Susan T. Dumais
SIGIR
2006
ACM
15 years 3 months ago
Action modeling: language models that predict query behavior
We present a novel language modeling approach to capturing the query reformulation behavior of Web search users. Based on a framework that categorizes eight different types of “...
G. Craig Murray, Jimmy J. Lin, Abdur Chowdhury