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» Language intent models for inferring user browsing behavior
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SIGIR
2012
ACM
11 years 6 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
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
SIGIR
2010
ACM
13 years 8 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
GIS
2010
ACM
13 years 1 months ago
Time geography inverted: recognizing intentions in space and time
Mobile intention recognition is the problem of inferring a mobile user's intentions from her behavior in geographic space. Such behavior is constrained in space and time. Cur...
Peter Kiefer, Martin Raubal, Christoph Schlieder
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
14 years 1 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li