Senjuti Basu Roy, Professor U.Washington, TALK Enabling Interactivity and Dynamism in Online Recommendation Computation

Title: Enabling Interactivity and Dynamism in Online Recommendation Computation

This talk will discuss social context aware online recommendation problems.  The unique challenges in online computation of individual user recommendations and group recommendations will be studied in this talk.  In the context of individual user recommendations, this talk will discuss how iterative interactivity with the user during recommendation time can further improve user satisfaction, as well as will address underlying challenges and discuss proposed solutions to ensure interactivity. For group recommendations, this talk will investigate how dynamic interaction with the individual members of the group could be enabled during recommendation time to maximize individual user satisfaction in the recommended items, considering traditional group consensus functions.

BIO: Senjuti Basu Roy is an Assistant Professor at the Institute of Technology at the University of Washington Tacoma. Prior to joining UW in January 2012, she was a postdoctoral fellow at DIMACS at Rutgers University. Senjuti received her Ph.D. in Computer Science from UT Arlington in May 2011. Senjuti’s primary research interests lie in the area of data and content management with a focus on exploration, analytics, and algorithms. Her research has been published in notable database conferences and journals. She is an active member of CWDS at UW, one of the co-organizers of KDD cup 2013, and serves on several program committees of reputed database conferences and journals. Her past industrial experience includes working at Microsoft Research and IBM Research.