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KDD
2009
ACM
210views Data Mining» more  KDD 2009»
16 years 7 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
EUROSYS
2008
ACM
16 years 3 months ago
Towards cinematic internet video-on-demand
Video-on-demand (VoD) is increasingly popular with Internet users. It gives users greater choice and more control than live streaming or file downloading. Systems such as MSN Vid...
Bin Cheng, Lex Stein, Hai Jin, Zheng Zhang
WWW
2004
ACM
16 years 7 months ago
Incremental formalization of document annotations through ontology-based paraphrasing
For the manual semantic markup of documents to become widespread, users must be able to express annotations that conform to ontologies (or schemas) that have shared meaning. Howev...
Jim Blythe, Yolanda Gil
SDM
2009
SIAM
138views Data Mining» more  SDM 2009»
16 years 4 months ago
ShatterPlots: Fast Tools for Mining Large Graphs.
Graphs appear in several settings, like social networks, recommendation systems, computer communication networks, gene/protein biological networks, among others. A deep, recurring...
Ana Paula Appel, Andrew Tomkins, Christos Faloutso...
PPOPP
2003
ACM
16 years 19 hour ago
Optimizing data aggregation for cluster-based internet services
Large-scale cluster-based Internet services often host partitioned datasets to provide incremental scalability. The aggregation of results produced from multiple partitions is a f...
Lingkun Chu, Hong Tang, Tao Yang, Kai Shen
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