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» Predicting Interests of People on Online Social Networks
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WSDM
2012
ACM
334views Data Mining» more  WSDM 2012»
13 years 5 months ago
mTrust: discerning multi-faceted trust in a connected world
Traditionally, research about trust assumes a single type of trust between users. However, trust, as a social concept, inherently has many facets indicating multiple and heterogen...
Jiliang Tang, Huiji Gao, Huan Liu
WWW
2008
ACM
15 years 10 months ago
Setting Access Permission through Transitive Relationship in Web-based Social Networks
The rising popularity of Web 2.0, such as blogs, forums, online calendars/diaries, etc., makes users more interested in keeping their data on the Web. Sharing of such data could m...
Dan Hong, Vincent Y. Shen
DEBU
2006
163views more  DEBU 2006»
14 years 9 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
ICRA
2010
IEEE
130views Robotics» more  ICRA 2010»
14 years 8 months ago
Predictive State Representations for grounding human-robot communication
— Allowing robots to communicate naturally with humans is a major goal for social robotics. Most approaches have focused on building high-level probabilistic cognitive models. Ho...
Eric Meisner, Sanmay Das, Volkan Isler, Jeff Trink...
IMC
2009
ACM
15 years 4 months ago
Characterizing user behavior in online social networks
Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, richer studies of social interactions, and improved ...
Fabrício Benevenuto, Tiago Rodrigues, Meeyo...