Rishabh Mehrotra is a final year PhD student at University College London partially supported by a Google Research Award. His PhD research focuses on inference of search tasks from query logs and their applications. Beyond tasks, his research interests include user modelling & personalization, counterfactual analysis and deep learning for gauging user satisfaction. Some of his recent work has been published at top conferences including WWW, SIGIR, NAACL, CIKM, RecSys and WSDM. He has supervised over 7 Masters thesis and has served as a reviewer for top tier conferences and workshops. He is also a co-coordinator of the TREC Tasks Track in 2015, 2016 and 2017 and co-tutored a tutorial at Search Solutions 2016 conference.
Sunday 3:00 PM–3:30 PM in C01