Al Mamunur Rashid

Loading Google Thumbnails...
2008
8Learning preferences of new users in recommender systems: an information theoretic approach. Al Mamunur Rashid, George Karypis, John Riedl. SIGKDD Explorations (10): 90-100 (2008). Web SearchBibTeXDownload
2006
7Motivating participation by displaying the value of contribution. Al Mamunur Rashid, Kimberly S. Ling, Regina D. Tassone, Paul Resnick, Robert E. Kraut, John Riedl. CHI 2006, 955-958. Web SearchBibTeXDownload
6tagging, communities, vocabulary, evolution. Shilad Sen, Shyong K. Lam, Al Mamunur Rashid, Dan Cosley, Dan Frankowski, Jeremy Osterhouse, F. Maxwell Harper, John Riedl. CSCW 2006, 181-190. Web SearchBibTeXDownload
5Towards a Scalable k NN CF Algorithm: Exploring Effective Applications of Clustering. Al Mamunur Rashid, Shyong K. Lam, Adam LaPitz, George Karypis, John Riedl. WEBKDD 2006, 147-166. Web SearchBibTeXDownload
2005
4Using Social Psychology to Motivate Contributions to Online Communities. Kimberly S. Ling, Gerard Beenen, Pamela J. Ludford, Xiaoqing Wang, Klarissa Chang, Xin Li, Dan Cosley, Dan Frankowski, Loren G. Terveen, Al Mamunur Rashid, Paul Resnick, Robert Kraut. J. Computer-Mediated Communication (10) (2005). Web SearchBibTeXDownload
3Influence in Ratings-Based Recommender Systems: An Algorithm-Independent Approach. Al Mamunur Rashid, George Karypis, John Riedl. SDM 2005. Web SearchBibTeX
2002
2On the recommending of citations for research papers. Sean M. McNee, Istvan Albert, Dan Cosley, Prateep Gopalkrishnan, Shyong K. Lam, Al Mamunur Rashid, Joseph A. Konstan, John Riedl. CSCW 2002, 116-125. Web SearchBibTeXDownload
1Getting to know you: learning new user preferences in recommender systems. Al Mamunur Rashid, Istvan Albert, Dan Cosley, Shyong K. Lam, Sean M. McNee, Joseph A. Konstan, John Riedl. IUI 2002, 127-134. Web SearchBibTeXDownload
from DBLP and Google Scholar
Developed by the Database Group at the University of Wisconsin and Yahoo! Research