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Text Mining Search and Navigation Research

Overview

The Text Mining, Search, and Navigation group (TMSN) works with large text collections, such as the Web, help and support, sites, discussion groups, e-mail, and intranets. We aim to extract and use knowledge from and about these collections and to help people find information more effectively within these collections.

A key area of our research is improving the efficiency of a user's interaction with large collections of information, so they can more easily find/explore/learn/share/buy/sell/meet/edit/express.

Our long-term goal is to develop a new foo, where foo is to today's search engine as a car is to a horse and buggy (where the horse is super old, and the buggy is headache-inducing squeaky and has two bad tires).

We also work on somewhat shorter-term projects, such as: improving the relevance and the reliability of our search functionality, gaining more understanding of the way search is used, building really cool infrastructure to make it easier to process zillions of bytes of data efficiently, etc., and of course, top secret project ZGX-103.

People

Primary Contact: Chris J.C. Burges









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Imig,
Scott

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Pastusiak,
Andrzej
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