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» Mining clickthrough data for collaborative web search
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WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
15 years 7 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
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
15 years 4 months ago
Detecting Link Spam Using Temporal Information
How to effectively protect against spam on search ranking results is an important issue for contemporary web search engines. This paper addresses the problem of combating one majo...
Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Sh...
HICSS
2002
IEEE
113views Biometrics» more  HICSS 2002»
15 years 2 months ago
Persona: A Contextualized and Personalized Web Search
Abstract— Recent advances in graph-based search techniques derived from Kleinberg’s work [1] have been impressive. This paper further improves the graph-based search algorithm ...
Francisco Tanudjaja, Lik Mu
MSR
2006
ACM
15 years 3 months ago
MAPO: mining API usages from open source repositories
To improve software productivity, when constructing new software systems, developers often reuse existing class libraries or frameworks by invoking their APIs. Those APIs, however...
Tao Xie, Jian Pei
SIGIR
2003
ACM
15 years 3 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann