Method of evaluating learning rate of recommender systems
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United States of America Patent
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Aug 24, 2010
Grant Date -
Dec 2, 2004
app pub date -
May 28, 2004
filing date -
May 28, 2003
priority date (Note) -
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Abstract
A recommender system is analyzed to determine various performance characteristics, such as a learning rate for new items, or a learning rate for new subscriber tastes. Comparisons of different recommenders are presented to assist consumers and marketers in selecting appropriate e-commerce sites for purchasing, advertising, etc.
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