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» Eye-tracking analysis of user behavior in WWW search
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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
ICIW
2009
IEEE
13 years 11 months ago
Personalized News Search in WWW: Adapting on User's Behavior
— Personalized Web Search becomes nowadays a promising option in the field of Information Retrieval and search engines design by improving both output quality and user experience...
Christos Bouras, Vassilis Poulopoulos, Panagiotis ...
WWW
2007
ACM
14 years 5 months ago
Why we search: visualizing and predicting user behavior
The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper...
Eytan Adar, Daniel S. Weld, Brian N. Bershad, Stev...
ETRA
2010
ACM
167views Biometrics» more  ETRA 2010»
13 years 11 months ago
Understanding the benefits of gaze enhanced visual search
In certain applications such as radiology and imagery analysis, it is important to minimize errors. In this paper we evaluate a structured inspection method that uses eye tracking...
Pernilla Qvarfordt, Jacob T. Biehl, Gene Golovchin...
WWW
2008
ACM
14 years 5 months ago
User behavior oriented web spam detection
Combating Web spam has become one of the top challenges for Web search engines. State-of-the-art spam detection techniques are usually designed for specific known types of Web spa...
Yiqun Liu, Min Zhang, Shaoping Ma, Liyun Ru