Title :
Research Paper Recommender Systems: A Random-Walk Based Approach
Author :
Gori, Marco ; Pucci, Augusto
Author_Institution :
Dipt. di Ingegneria dell´´ Informazione, Siena Univ.
Abstract :
Every day researchers from all over the world have to filter the huge mass of existing research papers with the crucial aim of finding out useful publications related to their current work. In this paper we propose a research paper recommending algorithm based on the citation graph and random-walker properties. The PaperRank algorithm is able to assign a preference score to a set of documents contained in a digital library and linked one each other by bibliographic references. A data set of papers extracted by ACM portal has been used for testing and very promising performances have been measured
Keywords :
citation analysis; digital libraries; information filtering; information filters; portals; ACM portal; PaperRank algorithm; citation graph; digital library; document preference score; random-walk based approach; research paper recommender system; research paper recommending algorithm; Data mining; Economic indicators; Filtering; Filters; Performance evaluation; Portals; Recommender systems; Software libraries; Testing; Writing;
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7
DOI :
10.1109/WI.2006.149
