Bhaskar Mehta is a computer scientist and software engineer at Google Zurich. His research has focussed on recommender systems, and various ways to improve their accuracy, robustness and unbaisedness. He holds a PhD in CS (Uni Duisburg, with Thomas Hofmann and Norbert Fuhr) and a B.Tech and M.Tech degree in CSE (IIT Delhi, thesis with S.N. Maheshwari). 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.
Attack Resistant Collaborative Filtering, Bhaskar Mehta, Wolfgang Nejdl, The 31st Annual International ACM SIGIR Conference (SIGIR) (2008).
Detecting Image Spam using Visual Features and Near Duplicate Detection, Bhaskar Mehta, Saurabh Nangia, Manish Gupta, Wolgang Nejdl, Proceedings of WWW 2008.
Robust Collaborative Filtering, Bhaskar Mehta, Thomas Hofmann, Wolfgang Nejdl, ACM Conference on Recommender Systems, 2007, pp. 49-56.