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» Capturing User Intent for Information Retrieval
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CIKM
2010
Springer
13 years 2 months ago
Predicting short-term interests using activity-based search context
A query considered in isolation offers limited information about a searcher's intent. Query context that considers pre-query activity (e.g., previous queries and page visits)...
Ryen W. White, Paul N. Bennett, Susan T. Dumais
DBSEC
2004
108views Database» more  DBSEC 2004»
13 years 9 months ago
Why Is this User Asking so Many Questions? Explaining Sequences of Queries
A sequence of queries submitted by a database user within a short period of time may have a single, illuminating explanation. In this paper we consider sequences of single-record q...
Aybar C. Acar, Amihai Motro
SIGIR
2010
ACM
13 years 11 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
CHI
2005
ACM
14 years 7 months ago
Automating the detection of breaks in continuous user experience with computer games
This paper describes an approach towards automating the identification of design problems with three-dimensional mediated or gaming environments through the capture and query of u...
Tim Marsh, Kiyoung Yang, Cyrus Shahabi, Wee Ling W...
VIP
2003
13 years 8 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin