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CIKM
2009
Springer
15 years 8 months 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
EICS
2009
ACM
15 years 7 months ago
Social network analysis and interactive device design analysis
What methods can we use to help understand why users adopt certain use strategies, and how can we evaluate designs to anticipate and perhaps positively modify how users are likely...
Harold W. Thimbleby, Patrick Oladimeji
WWW
2005
ACM
16 years 2 months ago
Mining directed social network from message board
In the paper, we present an approach to mining a directed social network from a message board on the Internet where vertices denote individuals and directed links denote the flow ...
Naohiro Matsumura, David E. Goldberg, Xavier Llor&...
GI
2009
Springer
15 years 6 months ago
Perspectives on Tag Clouds for Supporting Reflection in Self-organised Learning
: Tags are popular for organising information in social software based on the personal views of the participants on the information. Tags provide valuable attention meta-data on a ...
Christian Glahn, Marcus Specht, Rob Koper
SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
15 years 7 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen