Hybrid recommendation system
A hybrid recommendation system uses offline testing and online testing to generate and optimize recommendation functions. The functions generate recommendations which may be presented online for product purchases. Indices are created from the recommendations. Lookups may be performed on the indices...
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Main Authors | , , , |
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Format | Patent |
Language | English |
Published |
20.12.2016
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Subjects | |
Online Access | Get full text |
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Summary: | A hybrid recommendation system uses offline testing and online testing to generate and optimize recommendation functions. The functions generate recommendations which may be presented online for product purchases. Indices are created from the recommendations. Lookups may be performed on the indices to select recommendations for a particular user. The selected recommendations may be filtered before presenting to the user. |
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Bibliography: | Application Number: US201313790854 |