Method and system for high performance model-based personalization
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United States of America Patent
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Apr 10, 2012
Grant Date -
Dec 30, 2010
app pub date -
Aug 30, 2010
filing date -
Jun 23, 2000
priority date (Note) -
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Abstract
The present invention relates to a method and system for generating client preference recommendations in a high performance computing regime. Accordingly, one embodiment of the present invention comprises: providing a sparse ratings matrix, forming a plurality of data structures representing the sparse ratings matrix, forming a runtime recommendation model from the plurality of data structures, determining a recommendation from the runtime recommendation model in response to a request from a user, and providing the recommendation to the user.
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