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CIKM
2009
Springer
14 years 10 days ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
AAAI
2007
13 years 8 months ago
Towards a Cognitive Model of Crowd Behavior Based on Social Comparison Theory
Models of crowd behavior facilitate analysis and prediction of human group behavior, where people are affected by each other’s presence. Unfortunately, existing models leave man...
Natalie Fridman, Gal A. Kaminka
SOCIALCOM
2010
13 years 3 months ago
Learning to Predict Ad Clicks Based on Boosted Collaborative Filtering
This paper addresses the topic of social advertising, which refers to the allocation of ads based on individual user social information and behaviors. As social network services (e...
Teng-Kai Fan, Chia-Hui Chang
ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
14 years 10 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
DALT
2009
Springer
13 years 9 months ago
Explaining and Predicting the Behavior of BDI-Based Agents in Role-Playing Games
Abstract. Virtual characters in games operate in a social context involving other characters and human players. If such socially situated virtual characters are to be considered be...
Michal P. Sindlar, Mehdi Dastani, Frank Dignum, Jo...