Title: Personalized Academic Research Paper Recommendation System
Authors:Joonseok Lee, Kisung Lee, Jennifer G. Kim
(Submitted on 19 Apr 2013)
Abstract: A huge number of academic papers are coming out from a lot of conferences and journals these days. In these circumstances, most researchers rely on key-based search or browsing through proceedings of top conferences and journals to find their related work. To ease this difficulty, we propose a Personalized Academic Research Paper Recommendation System, which recommends related articles, for each researcher, that may be interesting to her/him. In this paper, we first introduce our web crawler to retrieve research papers from the web. Then, we define similarity between two research papers based on the text similarity between them. Finally, we propose our recommender system developed using collaborative filtering methods. Our evaluation results demonstrate that our system recommends good quality research papers.
Submission historyFrom: Joonseok Lee [view email]
[v1] Fri, 19 Apr 2013 15:53:53 GMT (374kb,D)
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