SENSOR BASED PRODUCT RECOMMENDATIONS

• US 20180012283A1
• Filed: 07/06/2016
• Published: 01/11/2018
• Est. Priority Date: 07/06/2016
• Status: Active Application

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Harve, Subrahmanya, Vasthimal, Deepak Kumar
• Application Number:
  US15/203,360
• Publication Number:
  US 20180012283A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 2503/12 Healthy persons not otherwise provided for, e.g. subjects of a marketing survey
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/0257 Proximity sensors
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/63 for local operation

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.

Claims

1. A method for generating an item recommendation, the method comprising:

collecting sensor data with a sensor client machine;

transferring the collected sensor data to a server;

estimating user physical activity based on collected sensor data patterns;

forming a user profile based on the estimated user physical activity;

associating the user profile with an item recommendation; and

displaying the item recommendation to a user.

2. The method of claim 1, wherein the item recommendation comprises at least one of a service recommendation and a product recommendation.

3. The method of claim 1, wherein the sensor data describes at least one of an acceleration, an orientation, a location, a proximity, an ambient environmental condition, biometric indicia, and user interactions with the client machine.

4. The method of claim 1, wherein the sensor data is updated one of continuously and periodically.

5. The method of claim 1, wherein the user physical activity comprises at least one of sleeping, walking, jogging, running, bicycling, driving, weight training, and remaining still.

6. The method of claim 1, wherein the associating comprises finding correlations with previous sales to at least one of the user and other users having similar user profiles.

7. The method of claim 1, further comprising at least one of purchasing an item based on the displayed recommendation and sharing the displayed recommendation with another user.

8. The method of claim 1, wherein the displayed recommendation includes a discount determined by the user profile.

9. The method of claim 1, further comprising at least one of the user and the server providing subsequent sensor data showing satisfaction with a purchased item.

10. The method of claim 1, wherein the collected sensor data describes user physical activity in virtual reality and the recommendation is displayed in virtual reality.

11. A non-transitory computer-readable storage medium having embedded therein a set of instructions which, when executed by one or more processors of a computer, causes the computer to execute the following operations for generating an item recommendation:

collecting sensor data with a sensor in a client machine;

transferring the collected sensor data to a server;

estimating user physical activity with the server based on collected sensor data patterns;

forming a user profile based on the estimated user physical activity;

associating the user profile with an item recommendation; and

displaying the item recommendation to a user.

12. The medium of claim 11, wherein the item recommendation comprises at least one of a service recommendation and a product recommendation.

13. The medium of claim 11, wherein the sensor data describes at least one of an acceleration, an orientation, a location, a proximity, an ambient environmental condition, biometric indicia, and user interactions with the client machine.

14. The medium of claim 11, wherein the user physical activity comprises at least one of sleeping, walking, jogging, running, bicycling, driving, weight training, and remaining still.

15. The medium of claim 11, wherein the associating comprises finding correlations with previous sales to at least one of the user and other users having similar user profiles.

16. The medium of claim 11, further comprising operations for at least one of purchasing an item based on the displayed recommendation and sharing the displayed recommendation with another user.

17. The medium of claim 11, wherein the displayed recommendation includes a discount determined by the user profile.

18. The medium of claim 11, further comprising operations for at least one of the user and the server providing subsequent sensor data showing satisfaction with a purchased item.

19. The medium of claim 11, wherein the collected sensor data describes user physical activity in virtual reality and the recommendation is displayed in virtual reality.

20. A system for generating an item recommendation, the system comprising:

at least one client machine that collects sensor data with at least one sensor and transfers the collected sensor data to a server that;

estimates user physical activity with the server based on patterns in the collected sensor data;

forms a user profile based on the estimated user physical activity;

associates the user profile with at least one item recommendation; and

a display that presents the item recommendation to the user.