TY  - CONF
AU  - McNee, Sean M.
AU  - Albert, Istvan
AU  - Cosley, Dan
AU  - Gopalkrishnan, Prateep
AU  - Lam, Shyong K.
AU  - Rashid, Al Mamunur
AU  - Konstan, Joseph A.
AU  - Riedl, John
A2  - 
T1  - On the recommending of citations for research papers
T2  - Proceedings of the 2002 ACM conference on Computer supported cooperative work
PB  - ACM
CY  - New York, NY, USA
PY  - 2002/
M2  - 
VL  - 
IS  - 
SP  - 116
EP  - 125
UR  - http://doi.acm.org/10.1145/587078.587096
M3  - 10.1145/587078.587096
KW  - item
KW  - recommender
KW  - citation
KW  - research
L1  - 
SN  - 1-58113-560-2
N1  - 
N1  - 
AB  - 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 offline experiments against a database of over 186,000 research papers contained in ResearchIndex. We also performed an online experiment with over 120 users to gauge user opinion of the effectiveness of the algorithms and of the utility of such recommendations for common research tasks. We found large differences in the accuracy of the algorithms in the offline experiment, especially when balanced for coverage. In the online experiment, users felt they received quality recommendations, and were enthusiastic about the idea of receiving recommendations in this domain.
ER  -