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KDD
2009
ACM
143views Data Mining» more  KDD 2009»
16 years 7 months ago
Optimizing web traffic via the media scheduling problem
Website traffic varies through time in consistent and predictable ways, with highest traffic in the middle of the day. When providing media content to visitors, it is important to...
Lars Backstrom, Jon M. Kleinberg, Ravi Kumar
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 7 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
PERCOM
2009
ACM
16 years 7 months ago
Programmable Presence Virtualization for Next-Generation Context-Based Applications
Abstract--Presence, broadly defined as an event publishnotification infrastructure for converged applications, has emerged as a key mechanism for collecting and disseminating conte...
Arup Acharya, Nilanjan Banerjee, Dipanjan Chakrabo...
KDD
2008
ACM
182views Data Mining» more  KDD 2008»
16 years 7 months ago
Classification with partial labels
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
Nam Nguyen, Rich Caruana
KDD
2008
ACM
132views Data Mining» more  KDD 2008»
16 years 7 months ago
Partitioned logistic regression for spam filtering
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
Ming-wei Chang, Wen-tau Yih, Christopher Meek