Kevyn's picture

Kevyn Collins-Thompson

 

Researcher
Microsoft Research

Phone: +1-425-882-8080
Fax: +1-425-936-7329
Email: kevynct AT microsoft . com

Mailing Address:
Microsoft Research
Building 99
1 Microsoft Way
Redmond, WA 98052-6399

 

Kevyn Collins-Thompson is a Researcher in the Context, Learning, and User Experience for Search group at Microsoft Research (Redmond).

My primary research interests involve the development of machine learning and optimization methods for improving information systems, especially algorithms that are robust under uncertainty and that can automatically adapt to users and their information needs.

One area of special interest is development of robust algorithms for information systems that can effectively balance risk and reward, a research direction that I introduced in my PhD thesis. This work connects information retrieval with portfolio theory and other areas of computational finance to arrive at new models, algorithms, and evaluation methods that account for risk. For example, it shows how the reliability of current query expansion methods can be greatly improved by treating query expansion as a constrained convex optimization problem that accounts for the risk and reward of joint term selection.

I'm also interested in large-scale data and text mining, statistical language modeling, natural language processing, educational applications of IR and machine learning like predicting reading difficulty and computer-assisted language learning, and how the brain acquires language skills.

My Ph.D. is from the School of Computer Science at Carnegie Mellon University, where my advisor was Jamie Callan. I was a member of the Language Technologies Institute. My undergraduate degree (B.Math.) is from the University of Waterloo. Apparently, I'm not the only one who thinks that CMU and Waterloo are a great combination!

Upcoming Events

  • Consider submitting your paper (2-8 pages) to the NAACL HLT 2012 Workshop on Predicting and improving text readability for target reader populations (PITR2012). Submission deadline is March 25, 2012.
  • I'll be giving a keynote at DDR 2012: Diversity in Document Retrieval, a workshop held on Feb. 12, 2012 in conjunction with WSDM 2012 ACM International Conf. on Web Search and Data Mining.

  • Publications

    2011

    2010

    2009

    2008

    2007

    2006

    2005

    2004

    2003

    2002

    2001

    Other Activities

    Datasets

  • HLT 2007 Definition Scoring Gold Standard: 665 judged responses, 75 target words, 3 human judges (0-3 scale)
  • Other Links

    Context, Learning, and User Experience for Search Group's home page.

    DBLP Bibliography

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