Dr. Shilad Sen
Dr. Shilad Sen is an Assistant Professor at Macalester College in St. Paul. He builds systems that empower people to be better contributors to online communities. His research draws on techniques from data-mining, interface design, and social science to encourage members to contribute better content to their communities, and enable communities to identify high-quality contributions from members.
Dr. Sen received his Ph.D. under John Riedl at the University of Minnesota with GroupLens Research. Before that, he worked at Sourcelight Technologies, a startup that built movie recommenders for companies like Blockbuster Video and Comcast. He has also worked for Google, IBM Research, and Thomson Reuters R & D.When not teaching or researching, he plays jazz saxophone with Snowblind, plays squash, and spends time with his family.
Ph.D, Computer Science, University of Minnesota-Twin Cities, 2004 – 2008
Post-Baccalaureate, Computer Science, Tufts University, 2002 – 2004
BA, Math, BM, Saxophone Performance, Northwestern University, 1994 – 1999
Areas of Expertise:
Applied machine learning
Social network analysis
Schafer, J. Ben, Frankowski, D., Herlocker, J., & Sen, S. (2007). Collaborative filtering recommender systems. The adaptive web (pp. 291–324). Springer Berlin Heidelberg.
Sen, S., Lam, S. K., Rashid, A. M., Cosley, D., Frankowski, D., Osterhouse, J., Harper, F. M., et al. (2006). Tagging, communities, vocabulary, evolution. Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work (pp. 181–190). ACM.Sen, S., Vig, J., & Riedl, J. (2009).
Tagommenders: connecting users to items through tags. Proceedings of the 18th international conference on World wide web (pp. 671–680). ACM.Lam, S. T. K., Uduwage, A., Dong, Z., Sen, S., Musicant, D. R., Terveen, L., & Riedl, J. (2011).
WP: clubhouse?: an exploration of Wikipedia’s gender imbalance. Proceedings of the 7th International Symposium on Wikis and Open Collaboration (pp. 1–10). ACM.
Harper, F. M., Sen, S., & Frankowski, D. (2007). Supporting social recommendations with activity-balanced clustering. Proceedings of the 2007 ACM conference on Recommender systems (pp. 165–168). ACM.
Priedhorsky, R., Pitchford, D., Sen, S., & Terveen, L. (2012). Recommending routes in the context of bicycling: algorithms, evaluation, and the value of personalization. Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work (pp. 979–988). ACM.
Best Paper Winner, awarded to top submission, WikiSym Conference, 2011
Best Paper Nominee, awarded to top 3 submissions, IUI Conference, 2011
Best Dissertation Nominee, Physical Sciences at Engineering, Univ of MN, 2009
Best Paper Award Winner, awarded to top submission, IUI Conference, 2009
Best of CSCW Award Winner, awarded to 1% of submissions, CSCW Conference, 2006
IBM Patent Plateau Award (for four or more patents), 2006
Second Place, North American Saxophone Alliance Jazz Competition, 1999
Social Data Mining With Python
Instructor at Statistics.com since January 2014
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