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» Capturing User Intent for Information Retrieval
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SIGIR
2012
ACM
11 years 10 months ago
Language intent models for inferring user browsing behavior
Modeling user browsing behavior is an active research area with tangible real-world applications, e.g., organizations can adapt their online presence to their visitors browsing be...
Manos Tsagkias, Roi Blanco
SIGIR
2008
ACM
13 years 7 months ago
To personalize or not to personalize: modeling queries with variation in user intent
In most previous work on personalized search algorithms, the results for all queries are personalized in the same manner. However, as we show in this paper, there is a lot of vari...
Jaime Teevan, Susan T. Dumais, Daniel J. Liebling
WWW
2010
ACM
14 years 1 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
2009
ACM
14 years 8 months ago
Discovering users' specific geo intention in web search
Discovering users' specific and implicit geographic intention in web search can greatly help satisfy users' information needs. We build a geo intent analysis system that...
Xing Yi, Hema Raghavan, Chris Leggetter
SIGIR
2010
ACM
13 years 11 months ago
Personalize web search results with user's location
We build a probabilistic model to identify implicit local intent queries, and leverage user’s physical location to improve Web search results for these queries. Evaluation on co...
Yumao Lu, Fuchun Peng, Xing Wei, Benoît Dumo...