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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Abstract | 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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AbstractList | 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. |
Author | Chew Theam Yong Boukis Christos Passalis Georgios Kirkby Stephen Denis |
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Notes | Application Number: US201313790854 |
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RelatedCompanies | Accenture Global Services Limited |
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Snippet | A hybrid recommendation system uses offline testing and online testing to generate and optimize recommendation functions. The functions generate... |
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SubjectTerms | 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 |
Title | Hybrid recommendation system |
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