SENSOR BASED PRODUCT RECOMMENDATIONS
    1.
    发明申请

    公开(公告)号:US20180012283A1

    公开(公告)日:2018-01-11

    申请号:US15203360

    申请日:2016-07-06

    Applicant: eBay Inc.

    Abstract: A system, method, and computer program product for generating item recommendations based on sensor data captured by sensors on client machines. A server processes collected sensor data to estimate user physical activity based on sensor data patterns, and forms a user profile based on the estimated user physical activity. The server associates the user profile with relevant product or service recommendations, based on previous purchases by a user or by others matching the user profile. The user may make a purchase based on the displayed recommendations or forward the recommendations to others. The recommendations include discounts based on the user profile. Subsequent sensor data showing satisfaction with a purchased item serves as a testimonial to user satisfaction with the item. The sensor data may be collected from a user in an augmented or virtual reality system, and the recommendations may be displayed in such a system.

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