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KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 5 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 5 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
16 years 5 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti
134
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MOBISYS
2007
ACM
16 years 4 months ago
Improving mobile database access over wide-area networks without degrading consistency
We report on the design, implementation, and evaluation of a system called Cedar that enables mobile database access with good performance over low-bandwidth networks. This is acc...
Niraj Tolia, Mahadev Satyanarayanan, Adam Wolbach
MOBISYS
2006
ACM
16 years 4 months ago
Improved access point selection
This paper presents Virgil, an automatic access point discovery and selection system. Unlike existing systems that select access points based entirely on received signal strength,...
Anthony J. Nicholson, Yatin Chawathe, Mike Y. Chen...