Title:
SENSOR BASED PRODUCT RECOMMENDATIONS
Document Type and Number:
WIPO Patent Application WO/2018/009550
Kind Code:
A8
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.
More Like This:
Inventors:
HARVE SUBRAHMANYA (US)
VASTHIMAL DEEPAK KUMAR (US)
VASTHIMAL DEEPAK KUMAR (US)
Application Number:
PCT/US2017/040732
Publication Date:
February 21, 2019
Filing Date:
July 05, 2017
Export Citation:
Assignee:
EBAY INC (US)
International Classes:
G06Q30/00; G06Q30/02; G06Q30/06
Attorney, Agent or Firm:
SCHEER, Bradley, W. et al. (US)
Download PDF: