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2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies
Using Web-Mining for Academic Measurement and Scholar Recommendation in Expert Finding System
Lyon France
August 22-August 27
ISBN: 978-0-7695-4513-4
Scholars usually spend great deal of time on searching and reading papers of key researchers. However, to objectively determine key researcher of a topic relies on several measurements, such as publication, citation, recent academic activities. In this paper, a prototype of scholars searching and recommendation system based on a web mining approach in expert finding system is proposed. The system gives and recommends the ranking of scholars and turns out top-k scholars. A new ranking measure is designed, namely p-index, to reveal the scholar ranking of a certain field. We use a real-world dataset to test the robustness, the experiment results show our approach outperforms other existing approaches and users are highly interested in using the system again.
Index Terms:
Academic Measure, Web Mining, Expert Finding System, Performance Indexing
Citation:
Chi-Jen Wu, Jen-Ming Chung, Cheng-Yu Lu, Hahn-Ming Lee, Jan-Ming Ho, "Using Web-Mining for Academic Measurement and Scholar Recommendation in Expert Finding System," wi-iat, vol. 1, pp.288-291, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies, 2011
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