@inproceedings{750e9963165944deb3d2953ec641a932,
title = "Using web-mining for academic measurement and scholar recommendation in expert finding system",
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.",
keywords = "Academic measure, Expert finding system, Performance indexing, Web mining",
author = "Wu, {Chi Jen} and Chung, {Jen Ming} and Lu, {Cheng Yu} and Lee, {Hahn Ming} and Ho, {Jan Ming}",
year = "2011",
doi = "10.1109/WI-IAT.2011.137",
language = "英语",
isbn = "9780769545134",
series = "Proceedings - 2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011",
pages = "288--291",
booktitle = "Proceedings - 2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011",
note = "2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011 ; Conference date: 22-08-2011 Through 27-08-2011",
}