Professor Sen's research is in designing systems that empower people to be
effective online community contributors. His research draws on techniques from
data-mining, machine learning, systems design, human-computer interaction, and Social
Science theory. 

His interests range from collaborative filtering algorithms research to intelligent
displays of user-created tags - specifically, building software systems, applying data
mining and machine learning techniques on huge data sets, and writing software apps that
touch a large number of users. 

Articles

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How many bits per rating? (with D Kluver, T Nguyen, M Ekstrand, and J Riedl), RecSys'12 (2012)
 

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The Tag Genome: Encoding Community Knowledge to Support Novel Interaction (with J Vig and J Riedl), ACM Transactions on Interactive Intelligent Applications (2012)
 

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Recommending Routes in the Context of Bicycling: Algorithms, Evaluation, and the Value of Personalization (with R Preidhosky, D Pitchford, and L Terveen), CSCW'12 ACM 2012 Conference on Computer Supported Cooperative Work (2012)
 

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War Versus Inspirational in Forrest Gump: Cultural Effects in Tagging Communities (with Z Dong, C Shi, L Terveen, and J Riedl), ICWSM 2012, Sixth International AAAI Conference on Weblogs and Social Media (2012)
 

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Macademia: semantic visualization of research interests (with H. Charlton, R. Kerwin, J. Lim, B. Maus, N. Miller, M. Naminski, A. Scheenman, A. Tran, E. Nunes, and E. Isaac Sparling), Proceedings of the 16th international conference on Intelligent user interfaces (2011)
 

Contributions to Books

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“Collaborative Filtering Recommender Systems” (with Shafer, Frankowski, and Herlocker), The Adaptive Web: Methods and Strategies of Web Personalization (2007)
 

Presentations

Tagsplanations: Explaining Recommendations using Tags (with Jesse Vig and John Riedl), International Conference on Intelligent User Interfaces (2009)
 

Crafting the initial user experience to achieve community goals (with Sara Drenner and Loren Terveen), ACM Recommender Systems (2008)