SYSTEM FOR GENERATING RECOMMENDATIONS

Due to strict data privacy rules, platforms that access and use personal information are required to obtain user consent for the same. However, it may be inconvenient for a user (especially if the user uses multiple platforms) to respond to consent requests every time. Disclosed herein are a method...

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Bibliographische Detailangaben
Hauptverfasser:	KOTTEKULAM VASU, Rosni, BANAHATTI, Vijayanand Mahadeo, LODHA, Sachin Premsukh
Format:	Patent
Sprache:	eng ; fre ; ger
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:	Due to strict data privacy rules, platforms that access and use personal information are required to obtain user consent for the same. However, it may be inconvenient for a user (especially if the user uses multiple platforms) to respond to consent requests every time. Disclosed herein are a method and system for generating consent recommendations for a user. The system determines a user aspect indicating consent preferences of the user, and identifies/predicts a reference privacy profile as matching the user aspect. The system uses a machine learning model to process the user aspect and to predict the matching reference privacy profile. Further, based on the matching reference privacy profile, the system generates one or more consent recommendations. The system can also be configured to obtain feedback for the generated consent recommendations and re-recommends consents based on the obtained feedback.