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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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)
 

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Navigating the tag genome (with J. Vig and J. Riedl), Proceedings of the 16th international conference on Intelligent user interfaces (2011)
 

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Rating: How difficult is it? (with E. Sparling), RecSys (2011)
 

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WP:Clubhouse? An Exploration of Wikipedia's Gender Imbalance (with S. K. Lam, A. Uduwage, D. R. Musicant, L. Terveen, and J. Riedl), WikiSym (2011)
 

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Tag Expression: Tagging with Feeling (with Jesse Vig, Matthew Soukup, and John Riedl), UIST '10: Proceedings of the 23nd Annual ACM Symposium on User Interface Software and Technology (2010)
 

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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)