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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
14 years 1 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...
CHI
2000
ACM
15 years 10 months ago
Bringing order to the Web: automatically categorizing search results
We developed a user interface that organizes Web search results into hierarchical categories. Text classification algorithms were used to automatically classify arbitrary search r...
Hao Chen, Susan T. Dumais
JIS
2008
119views more  JIS 2008»
15 years 5 months ago
A three-year study on the freshness of web search engine databases
This paper deals with one aspect of the index quality of search engines: index freshness. The purpose is to analyse the update strategies of the major Web search engines Google, Y...
Dirk Lewandowski
CIVR
2007
Springer
155views Image Analysis» more  CIVR 2007»
16 years 3 days ago
Detection of near-duplicate images for web search
Among the vast numbers of images on the web are many duplicates and near-duplicates, that is, variants derived from the same original image. Such near-duplicates appear in many we...
Jun Jie Foo, Justin Zobel, Ranjan Sinha, Seyed M. ...
JAIR
2011
138views more  JAIR 2011»
15 years 27 days ago
Identifying Aspects for Web-Search Queries
Many web-search queries serve as the beginning of an exploration of an unknown space of information, rather than looking for a specific web page. To answer such queries effectiv...
Fei Wu, Jayant Madhavan, Alon Y. Halevy