His general research interests are Personalization and Recommender systems, Web Search algorithms and Web models, P2P and grid systems; data mining and statistical learning in application to Social media, social networks and personalized ranking.
Bhaskar Mehta is a Principal Engineer/Director of Engineering at Google Inc. Mountain View. His research has focussed on recommender systems, and various ways to improve their accuracy and robustness. He has worked on various recommender systems at Google, and currently specializes in Location and Semantic meaning of Lat/longs for Place and User behavior analysis. He holds a B.Tech and M.Tech degree in CSE (IIT Delhi, thesis with S.N. Maheshwari) and a PhD in CS (Uni Duisburg, with Thomas Hofmann and Norbert Fuhr) and