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Milad Shokouhi

Milad Shokouhi
PRINCIPAL APPLIED SCIENTIST
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I am an applied scientist at Microsoft Bing. I moved to Bellevue Washington in 2015, after spending 8 years at Microsoft Research Cambridge. I'm also an honorary lecturer in School of Computing Science at the University of Glasgow.

My research is mainly focused on information retrieval and web search problems. I am interested in auto-completion, spoken queries, time-sensitive search, and personalization. I also have done some previous work on distributed information retrieval and metasearch, and have co-authored a short book with Luo Si on that topic.

Before Joining Microsoft, I did my PhD at RMIT university, under the supervision of Justin Zobel. The title of my PhD thesis was "Federated text retrieval from independent collections".

 

Workshops, Tutorials & Selected Talks

Tools and Data

If you have tools and datasets related to time-aware information access and retrieval, and you are willing to share them please contact me. You can view the current list of shared items here.

Publications

    2016

    2015

    2014

    • Katja Hofmann, Bhaskar Mitra, Filip Radlinski, and Milad Shokouhi, An Eye-tracking Study of User Interactions with Query Auto Completion, in Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM), ACM – Association for Computing Machinery, November 2014.
    • Bhaskar Mitra, Milad Shokouhi, Filip Radlinski, and Katja Hofmann, On User Interactions with Query Auto-Completion, in Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR), ACM, July 2014.
    • Milad Shokouhi, Rosie Jones, Umut Ozertem, Karthik Raghunathan, and Fernando Diaz, Mobile Query Reformulations, in Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR2014), ACM – Association for Computing Machinery, July 2014.
    • Sunandan Chakraborty, Filip Radlinski, Milad Shokouhi, and Paul Baecke, On Correlation of Absence Time and Search Effectiveness, in Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR), ACM, July 2014.
    • Matteo Venanzi, John Guiver, Gabriella Kazai, Pushmeet Kohli, and Milad Shokouhi, Community-Based Bayesian Aggregation Models for Crowdsourcing, in Proceedings of the 23rd International World Wide Web Conference, WWW2014 (Best paper award runner up), ACM, April 2014.

    2013

    2012

    2011

    2010

    2009

    2008

    2007

    2006