Poster Title:

EOS: Expertise Oriented Search Using Social Networks

Authors:

• Juanzi Li (Tsinghua University)
• Jie Tang (Tsinghua University)
• Jing Zhang (Tsinghua University)
• Qiong Luo (Hong Kong University of Science and Technology)
• Yunhao Liu (Hong Kong University of Science and Technology)
• Mingcao Hong (Tsinghua University)

Abstract:

In this paper, we present the design and implementation of our expertise oriented search system, EOS http://www.arnetminer.net. EOS is a researcher social network system. It has gathered information about a half-million computer science researchers from the Web and constructed a social network among the researchers through their co-authorship. In particular, the relationship in the social network information is used in both ranking experts for a given topic and searching for associations between researchers. Our experimental results demonstrate that the proposed methods for expert finding and association search in a social network are both more effective and efficient than the baseline methods.