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2008 The Ninth International Conference on Web-Age Information Management
REC: A Novel Model to Rank Experts in Communities
July 20-July 22
ISBN: 978-0-7695-3185-4
| ASCII Text | x | ||
| Chen Lin, Haofeng Zhou, Zhenhua Huang, Wei Wang, "REC: A Novel Model to Rank Experts in Communities," Web-Age Information Management, International Conference on, pp. 301-308, 2008 The Ninth International Conference on Web-Age Information Management, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/WAIM.2008.103, author = {Chen Lin and Haofeng Zhou and Zhenhua Huang and Wei Wang}, title = {REC: A Novel Model to Rank Experts in Communities}, journal ={Web-Age Information Management, International Conference on}, volume = {0}, year = {2008}, isbn = {978-0-7695-3185-4}, pages = {301-308}, doi = {http://doi.ieeecomputersociety.org/10.1109/WAIM.2008.103}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Web-Age Information Management, International Conference on TI - REC: A Novel Model to Rank Experts in Communities SN - 978-0-7695-3185-4 SP301 EP308 A1 - Chen Lin, A1 - Haofeng Zhou, A1 - Zhenhua Huang, A1 - Wei Wang, PY - 2008 KW - Expert Search KW - Social Network VL - 0 JA - Web-Age Information Management, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WAIM.2008.103
It is an important issue to get support from experts in our daily life. Expert finding is challenging. In previous commercial and academic systems, the users may not get what they expect. In this contribution, we address the problem of finding experts in communities. A novel model REC is presented to solve the expert finding problem in dynamic environment. The model ranks experts by textural and social information. Starting with the most familiar communities, the expert seeker may find appropriate experts, by considering both their local rankings in each community and the difficulty to get their help. Experiments are done on real data sets, including DBLP data set and W3C corpora. Compared with other existing methods, REC achieves promising results. It demonstrates the model's competencies in various search applications.
Index Terms:
Expert Search, Social Network
Citation:
Chen Lin, Haofeng Zhou, Zhenhua Huang, Wei Wang, "REC: A Novel Model to Rank Experts in Communities," waim, pp.301-308, 2008 The Ninth International Conference on Web-Age Information Management, 2008
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