SYSTEM FOR PERSONALIZED RECOMMENDATIONS

Techniques for intelligently predicting which items a user will add to an electronic shopping cart are disclosed. An item is added to an electronic shopping cart of a user. Natural language processing (NLP) determines a general product category and supporting product details of the item. The general...

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Bibliographic Details
Main Authors Wedgeworth III, Frederick Lafayette Columbus, Nipote, Gabriel Alvaro, Michaelson, Henry Miller, Price, Spencer Harrison
Format Patent
LanguageEnglish
Published 25.03.2021
Subjects
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Summary:Techniques for intelligently predicting which items a user will add to an electronic shopping cart are disclosed. An item is added to an electronic shopping cart of a user. Natural language processing (NLP) determines a general product category and supporting product details of the item. The general product category and the supporting product details are used as parameters in a query executed against a database, which links the item to other items based on shared characteristics between the item and those other items. A result of the query identifies those linked items. Based on an identified characteristic associated with the user, the items included in the query result are filtered to generate a list of proposed items for potential inclusion in the electronic shopping cart. This list is displayed to the user.
Bibliography:Application Number: US202017030237