Juanzi Li
Qiong Luo
Yunhao Liu
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.
- Aleman--Meza, B., Nagarajan, M., Ramakrishnan, C., Ding, L., Kolari, P., Sheth, A. P., Arpinar, I. B., Joshi, A., and Finin, T. 2006. Semantic analytics on social networks: experiences in addressing the problem of conflict of interest detection. In Proceedings of the 15th International Conference on World Wide Web (Edinburgh, Scotland, May 23 -- 26, 2006). 407--416. Google Scholar
Digital Library
- Tang, J., Li, J., Liang, B., Huang, X., Wang, K. 2005. iASA: learning to annotate the Semantic Web. Journal Data Semantics, Vol(IV), 2005. pp. 110--145. Google ScholarDigital Library
- Arasu, A., Novak, J., Tomkins, A., Tomlin, J. 2002. PageRank computation and the structure of the web: Experiments and algorithms. In Proceedings of the 15th International Conference on World Wide Web (Honolulu, Hawaii, USA, May 7 -- 11, 2002).Google Scholar
- Craswell, N., Vries, A.P.d. and Soboroff, I. 2005. Overview of the Trec-2005 enterprise track. TREC 2005 Conference Notebook, pp. 199--205Google Scholar
Index Terms
- EOS: expertise oriented search using social networks
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