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CHI
2011
ACM
14 years 1 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
INFOCOM
2011
IEEE
14 years 1 months ago
There's something about MRAI: Timing diversity can exponentially worsen BGP convergence
—To better support interactive applications, individual network operators are decreasing the timers that affect BGP convergence, leading to greater diversity in the timer setting...
Alex Fabrikant, Umar Syed, Jennifer Rexford
ICDE
2012
IEEE
239views Database» more  ICDE 2012»
13 years 7 days ago
Provenance-based Indexing Support in Micro-blog Platforms
Abstract— Recently, lots of micro-blog message sharing applications have emerged on the web. Users can publish short messages freely and get notified by the subscriptions instan...
Junjie Yao, Bin Cui, Zijun Xue, Qingyun Liu
AAAI
2012
13 years 6 days ago
Characterizing Multi-Agent Team Behavior from Partial Team Tracings: Evidence from the English Premier League
Real-world AI systems have been recently deployed which can automatically analyze the plan and tactics of tennis players. As the game-state is updated regularly at short intervals...
Patrick Lucey, Alina Bialkowski, Peter Carr, Eric ...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
15 years 10 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
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