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CIKM
2008
Springer
15 years 1 months ago
Using English information in non-English web search
The leading web search engines have spent a decade building highly specialized ranking functions for English web pages. One of the reasons these ranking functions are effective is...
Wei Gao, John Blitzer, Ming Zhou
KDD
2003
ACM
233views Data Mining» more  KDD 2003»
16 years 3 days ago
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process
Web personalization is the process of customizing a Web site to the needs of each specific user or set of users, taking advantage of the knowledge acquired through the analysis of...
Magdalini Eirinaki, Michalis Vazirgiannis, Iraklis...
SIGIR
2012
ACM
13 years 2 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 7 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...
CIKM
2005
Springer
15 years 5 months ago
Inferring document similarity from hyperlinks
Assessing semantic similarity between text documents is a crucial aspect in Information Retrieval systems. In this work, we propose to use hyperlink information to derive a simila...
David Grangier, Samy Bengio