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KDD
2009
ACM
146views Data Mining» more  KDD 2009»
15 years 4 months ago
Online allocation of display advertisements subject to advanced sales contracts
In this paper we propose a utility model that accounts for both sales and branding advertisers. We first study the computational complexity of optimization problems related to bo...
Saeed Alaei, Esteban Arcaute, Samir Khuller, Wenji...
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
15 years 4 months ago
Ad quality on TV: predicting television audience retention
This paper explores the impact of television advertisements on audience retention using data collected from television set-top boxes (STBs)1 . In particular, we discuss how the ac...
Yannet Interian, Sundar Dorai-Raj, Igor Naverniouk...
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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 2 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
KDD
2009
ACM
175views Data Mining» more  KDD 2009»
15 years 2 months ago
Multi-class protein fold recognition using large margin logic based divide and conquer learning
Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
Huma Lodhi, Stephen Muggleton, Michael J. E. Stern...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 10 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...