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WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
14 years 2 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
CIKM
2009
Springer
13 years 11 months ago
Beyond hyperlinks: organizing information footprints in search logs to support effective browsing
While current search engines serve known-item search such as homepage finding very well, they generally cannot support exploratory search effectively. In exploratory search, user...
Xuanhui Wang, Bin Tan, Azadeh Shakery, ChengXiang ...
APWEB
2006
Springer
13 years 8 months ago
An Effective System for Mining Web Log
The WWW provides a simple yet effective media for users to search, browse, and retrieve information in the Web. Web log mining is a promising tool to study user behaviors, which co...
Zhenglu Yang, Yitong Wang, Masaru Kitsuregawa
SIGIR
2003
ACM
13 years 10 months ago
Implicit link analysis for small web search
Current Web search engines generally impose link analysis-based re-ranking on web-page retrieval. However, the same techniques, when applied directly to small web search such as i...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Wei-Ying M...
CIKM
2004
Springer
13 years 10 months ago
Optimizing web search using web click-through data
The performance of web search engines may often deteriorate due to the diversity and noisy information contained within web pages. User click-through data can be used to introduce...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Yong Yu, W...