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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
DEBU
2000
108views more  DEBU 2000»
13 years 7 months ago
Next Generation Web Search: Setting Our Sites
The current state of web search is most successful at directing users to appropriate web sites. Once at the site, the user has a choice of following hyperlinks or using site searc...
Marti A. Hearst
CONTEXT
2007
Springer
13 years 11 months ago
Representing Context in Web Search with Ontological User Profiles
Abstract. One of the key factors for effective personalization of information access is the user context. We propose a framework which integrates several critical elements that mak...
Ahu Sieg, Bamshad Mobasher, Robin D. Burke
ICADL
2007
Springer
131views Education» more  ICADL 2007»
14 years 1 months ago
Personal Name Disambiguation in Web Search Results Based on a Semi-supervised Clustering Approach
Most of the previous works that disambiguate personal names in Web search results often employ agglomerative clustering approaches. In contrast, we have adopted a semi-supervised c...
Kazunari Sugiyama, Manabu Okumura
ISCI
2010
175views more  ISCI 2010»
13 years 6 months ago
Clustering web people search results using fuzzy ants
Person name queries often bring up web pages that correspond to individuals sharing the same name. The Web People Search (WePS) task consists of organizing search results for ambi...
Els Lefever, Timur Fayruzov, Véronique Host...