COMPUTING ARCHITECTURE FOR MULTI-SOURCE DATA AGGREGATION AND USER-ACTION INFERENCE AND RELATED METHODS
The system includes a communication system that continuously pulls category data for target categories from an online consumer platform at a first frequency. The communication system also continuously pulls product data for target products from a third-party data source and the online consumer platf...
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creator | LEVY, ROBERT ERIC SHELDON, JAY RINKOFF, DAVID |
description | The system includes a communication system that continuously pulls category data for target categories from an online consumer platform at a first frequency. The communication system also continuously pulls product data for target products from a third-party data source and the online consumer platform at a second frequency, where the second frequency is higher than the first frequency. The system also includes a processor system that uses the category data and the product data to dynamically adjust a listing of target categories and a listing of target products. This data is also used to infer the actions of the users and automatically generate a predicted action for which a user can execute. |
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The communication system also continuously pulls product data for target products from a third-party data source and the online consumer platform at a second frequency, where the second frequency is higher than the first frequency. The system also includes a processor system that uses the category data and the product data to dynamically adjust a listing of target categories and a listing of target products. 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The communication system also continuously pulls product data for target products from a third-party data source and the online consumer platform at a second frequency, where the second frequency is higher than the first frequency. The system also includes a processor system that uses the category data and the product data to dynamically adjust a listing of target categories and a listing of target products. This data is also used to infer the actions of the users and automatically generate a predicted action for which a user can execute.</abstract><oa>free_for_read</oa></addata></record> |
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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 |
title | COMPUTING ARCHITECTURE FOR MULTI-SOURCE DATA AGGREGATION AND USER-ACTION INFERENCE AND RELATED METHODS |
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