(Enter summary)
Abstract: Collaborative filtering has proven to be valuable for
recommending items in many different domains. In this
paper, we explore the use of collaborative filtering to
recommend research papers, using the citation web
between papers to create the ratings matrix. Specifically,
we tested the ability of collaborative filtering to
recommend citations that would be suitable additional
references for a target research paper. We investigated six
algorithms for selecting citations, evaluating them through... (Update)
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BibTeX entry: (Update)
S. M. McNee, I. Albert, D. Cosley, P. Gopalkrishnan, S. K. Lam, A. M. Rashid, J. A. Konstan, and J. Riedl. On the recommending of citations for research papers. In CSCW '02: Proceedings of the 2002. http://citeseer.ist.psu.edu/mcnee02recommending.html More
@misc{ mcnee02recommending,
author = "S. McNee and I. Albert and D. Cosley and P. Gopalkrishnan and S. Lam and
A. Rashid and J. Konstan and J. Riedl",
title = "the recommending of citations for research papers",
text = "S. M. McNee, I. Albert, D. Cosley, P. Gopalkrishnan, S. K. Lam, A. M. Rashid,
J. A. Konstan, and J. Riedl. On the recommending of citations for research
papers. In CSCW '02: Proceedings of the 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/mcnee02recommending.html" }
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http://www.cs.umn.edu/~karpyis/suggest/
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