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RIC: Research Interest Comparator |
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The Research Interests Comparator (RIC) is our fourth
electronic text mining project. The goal of the RIC system is to
dramatically improve the ability of biomedical researchers to find information
that is relevant to their areas of study, and to provide them with a single
source for that information. The RIC system allows users to build a profile
of their research interests, and then compares
their research interests to MEDLINE abstracts. The user's profile then
remains on our system, and the results are updated weekly with the latest MEDLINE publications allowing researchers
to keep abreast of the very latest research. Our algorithm uses
a global weighted keyword similarity comparison, which is continuously being
refined. Natural Language Processing and Grammar Induction codes developed by
Perot Systems Nederland will be added in the near future.
We request your comments and criticisms so
that we can improve the algorithm, features, user interface and value to you.
We invite you to add your profile today. Results are recalculated weekly, so bookmark us and check back periodically to find the latest research in your field!
Last updated: Monday, 30-Jul-2007 16:21:58 CDT