ARTIFICIAL INTELLIGENCE BASED SUSTAINABILITY SCORING AND CURATION OF RECOMMENDATIONS

ARTIFICIAL INTELLIGENCE BASED SUSTAINABILITY SCORING AND CURATION OF RECOMMENDATIONS

The present disclosure describes a system and method for applying machine learning to analyze the sustainability of products and using scoring based on the analysis to curate product recommendations for customers and feedback for product producers. The system and method incorporate product feature (...

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Bibliographische Detailangaben
Hauptverfasser: Haryani, Anjali, Mittal, Garima, Garde, Yugandhar Anant, Takawale, Paresh Vinay, Dilip Patidar, Mukul, Patnaik, Tarun
Format: Patent
Sprache:eng
Schlagworte:
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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Beschreibung
Zusammenfassung:The present disclosure describes a system and method for applying machine learning to analyze the sustainability of products and using scoring based on the analysis to curate product recommendations for customers and feedback for product producers. The system and method incorporate product feature (e.g., sustainability) data, including historical data, from multiple sources, and user preferences to generate customized feature (e.g., sustainability) scores.