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KDD
2009
ACM
143views Data Mining» more  KDD 2009»
16 years 3 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
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 3 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 3 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
KDD
2003
ACM
217views Data Mining» more  KDD 2003»
16 years 3 months ago
Algorithms for estimating relative importance in networks
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
Scott White, Padhraic Smyth
PKDD
2009
Springer
149views Data Mining» more  PKDD 2009»
15 years 9 months ago
Learning to Disambiguate Search Queries from Short Sessions
Web searches tend to be short and ambiguous. It is therefore not surprising that Web query disambiguation is an actively researched topic. To provide a personalized experience for ...
Lilyana Mihalkova, Raymond J. Mooney