FEATURE SENSOR EFFICIENCY OPTIMIZATION FOR RECOMMENDATION SYSTEM USING DATA ENVELOPMENT ANALYSIS

    公开(公告)号:US20230111167A1

    公开(公告)日:2023-04-13

    申请号:US17500540

    申请日:2021-10-13

    Applicant: SAP SE

    Abstract: A system and method are disclosed to provide recommendations based on sensor data. The system may include a dynamic customer profile data store that contains electronic records. Each record may be associated with a customer and include a customer identifier and a value for each of a set of customer traits derived from sensor data. A data envelopment analysis platform may access information about a first customer from the dynamic customer profile data store and utilize data envelopment analysis to calculate efficacy scores for the set of customer traits. A recommendation engine may then generate a customer recommendation for the first customer based on the values of each of the set of customer traits and the efficacy scores. Information about a customer action associated with the customer recommendation may be fed back to the data envelopment analysis platform.

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