We study a novel problem of social context summarization for Web documents. Traditional summarization research has focused on extracting informative sentences from standard docume...
Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, J...
Proper scoring rules, particularly when used as the basis for a prediction market, are powerful tools for eliciting and aggregating beliefs about events such as the likely outcome...
This paper describes a computerized aesthetic composition task that is based on a “creativity as search” metaphor. The technique collects detailed, moment-to-moment data about...
Kyle E. Jennings, Dean Keith Simonton, Stephen E. ...
We consider the problem of link prediction in signed networks. Such networks arise on the web in a variety of ways when users can implicitly or explicitly tag their relationship w...
We consider open government (OG) within the context of egovernment and its broader implications for the future of public administration. We argue that the current US Administratio...
Teresa M. Harrison, Santiago Guerrero, G. Brian Bu...