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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Bibliographic Details
Main Authors Boukis Christos, Chew Theam Yong, Passalis Georgios, Kirkby Stephen Denis
Format Patent
LanguageEnglish
Published 20.12.2016
Subjects
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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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.
Bibliography:Application Number: US201313790854