Shyong K. Lam

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2012
19Are Our Online "Friends" Really Friends?. Shyong K. Lam, John Riedl. IEEE Computer (45): 91-93 (2012). Web SearchBibTeXDownload
2011
18The Past, Present, and Future of Wikipedia. Shyong K. Lam, John Riedl. IEEE Computer (44): 87-90 (2011). Web SearchBibTeXDownload
17Expressing My Inner Gnome: Appearance and Behavior in Virtual Worlds. Shyong K. Lam, John Riedl. IEEE Computer (44): 103-105 (2011). Web SearchBibTeXDownload
16WP: clubhouse?: an exploration of Wikipedia's gender imbalance. Shyong K. Lam, Anuradha Uduwage, Zhenhua Dong, Shilad Sen, David R. Musicant, Loren G. Terveen, John Riedl. Int. Sym. Wikis 2011, 1-10. Web SearchBibTeXDownload
2010
15The effects of group composition on decision quality in a social production community. Shyong K. Lam, Jawed Karim, John Riedl. GROUP 2010, 55-64. Web SearchBibTeXDownload
2009
14Is Wikipedia growing a longer tail?. Shyong K. Lam, John Riedl. GROUP 2009, 105-114. Web SearchBibTeXDownload
2007
13Creating, destroying, and restoring value in wikipedia. Reid Priedhorsky, Jilin Chen, Shyong K. Lam, Katherine A. Panciera, Loren G. Terveen, John Riedl. GROUP 2007, 259-268. Web SearchBibTeXDownload
12Recommenders everywhere: : the WikiLens community-maintained recommender system. Dan Frankowski, Shyong K. Lam, Shilad Sen, F. Maxwell Harper, Scott Yilek, Michael Cassano, John Riedl. Int. Sym. Wikis 2007, 47-60. Web SearchBibTeXDownload
2006
11tagging, 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
10Do You Trust Your Recommendations? An Exploration of Security and Privacy Issues in Recommender Systems. Shyong K. Lam, Dan Frankowski, John Riedl. ETRICS 2006, 14-29. Web SearchBibTeXDownload
9Towards 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
2004
8Shilling recommender systems for fun and profit. Shyong K. Lam, John Riedl. WWW 2004, 393-402. Web SearchBibTeXDownload
2003
7Is seeing believing?: how recommender system interfaces affect users' opinions. Dan Cosley, Shyong K. Lam, Istvan Albert, Joseph A. Konstan, John Riedl. CHI 2003, 585-592. Web SearchBibTeXDownload
6Confidence Displays and Training in Recommender Systems. Sean M. McNee, Shyong K. Lam, Catherine Guetzlaff, Joseph A. Konstan, John Riedl. INTERACT 2003. Web SearchBibTeX
5MovieLens unplugged: experiences with an occasionally connected recommender system. Bradley N. Miller, Istvan Albert, Shyong K. Lam, Joseph A. Konstan, John Riedl. IUI 2003, 263-266. Web SearchBibTeXDownload
41 Billion Pages = 1 Million Dollars? Mining the Web to Play "Who Wants to be a Millionaire?". Shyong K. Lam, David M. Pennock, Dan Cosley, Steve Lawrence. UAI 2003, 337-345. Web SearchBibTeXDownload
3Interfaces for Eliciting New User Preferences in Recommender Systems. Sean M. McNee, Shyong K. Lam, Joseph A. Konstan, John Riedl. User Modeling 2003, 178-187. Web SearchBibTeXDownload
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
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