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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 5 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...
ADC
2007
Springer
145views Database» more  ADC 2007»
14 years 4 months ago
The Privacy of k-NN Retrieval for Horizontal Partitioned Data -- New Methods and Applications
Recently, privacy issues have become important in clustering analysis, especially when data is horizontally partitioned over several parties. Associative queries are the core retr...
Artak Amirbekyan, Vladimir Estivill-Castro
WWW
2007
ACM
14 years 10 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...
KDD
2002
ACM
169views Data Mining» more  KDD 2002»
14 years 10 months ago
A Framework for Customizable Sports Video Management and Retrieval
Several domain specific approaches for sports video management have shown the benefits of integrating low- and high- level video contents in supporting more robust retrieval. Howev...
Dian Tjondronegoro, Yi-Ping Phoebe Chen, Binh Pham
WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
14 years 7 months ago
Leveraging Temporal Dynamics of Document Content in Relevance Ranking
Many web documents are dynamic, with content changing in varying amounts at varying frequencies. However, current document search algorithms have a static view of the document con...
Jonathan L. Elsas, Susan T. Dumais