Using web-mining for academic measurement and scholar recommendation in expert finding system

Chi Jen Wu, Jen Ming Chung, Cheng Yu Lu*, Hahn Ming Lee, Jan Ming Ho

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011
Pages288-291
Number of pages4
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011 - Lyon, France
Duration: 22 08 201127 08 2011

Publication series

NameProceedings - 2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011
Volume1

Conference

Conference2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011
Country/TerritoryFrance
CityLyon
Period22/08/1127/08/11

Keywords

  • Academic measure
  • Expert finding system
  • Performance indexing
  • Web mining

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