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 application of machine learning to information organization and retrieval problems.

One area of special interest is development of robust algorithms for IR that can effectively balance risk and reward, a research direction that I introduced in my PhD thesis. This work exploits connections with computational finance and develops 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 text mining, statistical language modeling, natural language processing, 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.


What's New

2008

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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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