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» Predicting user interests from contextual information
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SIGIR
2009
ACM
13 years 11 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
CHI
1997
ACM
13 years 9 months ago
SenseMaker: An Information-Exploration Interface Supporting the Contextual Evolution of a User's Interests
We describe the design, implementation, and pilot study for SenseMaker, an interface for information exploration across heterogeneous sources. We propose supporting the contextdri...
Michelle Q. Wang Baldonado, Terry Winograd
CIKM
2010
Springer
12 years 12 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
WWW
2010
ACM
13 years 11 months ago
Actively predicting diverse search intent from user browsing behaviors
This paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. H...
Zhicong Cheng, Bin Gao, Tie-Yan Liu
WWW
2007
ACM
14 years 5 months ago
Web projections: learning from contextual subgraphs of the web
Graphical relationships among web pages have been leveraged as sources of information in methods for ranking search results. To date, specific graphical properties have been used ...
Jure Leskovec, Susan T. Dumais, Eric Horvitz