GENERATING ITEM LISTINGS ACCORDING TO MAPPED SENSOR DATA

• US 20160034543A1
• Filed: 12/29/2014
• Published: 02/04/2016
• Est. Priority Date: 08/04/2014
• Status: Abandoned Application

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Nagar, Vinay Rajashekar, Pogde, Shweta, Mokkapati, Snigdha, Chhetri, Suraj, Selvaraj, Arun, Sriram, Venkatesh
• Application Number:
  US14/585,100
• Publication Number:
  US 20160034543A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9032 Query formulation
• CPC Class Codes: G06Q 30/0627 using item specifications

Abstract

In various example embodiments, a mapping system and method for generating product listings for machine sensed and user specified criteria are presented. In example embodiments, sensor data about an object, and user characteristic information are received. Physical characteristics are extracted from the sensor data and mapped with the user characteristic information and related characteristics to create mapped characteristics. Based on the mapped characteristics, item listings are identified, ranked and presented to the user. The user can subsequently refine the search criteria by adding, subtracting or reweighing the characteristics.

Claims

1. A mapping system comprising:

an intake module to receive first user characteristic information and sensor data from at least one sensor associated with an object specified by a user;

an extraction module to extract at least one physical characteristic from the sensor data,

a mapping module, using at least one processor of a machine, to map the at least one physical characteristic derived from the sensor data with the user characteristic information;

an identification module to identify item listings based on the mapped at least one physical characteristic and user characteristic information;

a ranking module to rank item listings based on the mapped at least one physical characteristic; and

a presentation module to cause presentation of the identified and ranked item listings to the user.

2. The system of claim 1, wherein user characteristic information includes purchase history, profile information, and selectable preferences.

3. The system of claim 1, wherein the sensor includes a pigment photo-analyzer and the sensor data includes information about a color of the object.

4. The system of claim 1, wherein the sensor includes a depth photo-analyzer and the sensor data includes information about a shape of the object.

5. The system of claim 1, wherein the sensor includes an olfactory sensor and the sensor data includes information about a scent of the object.

6. The system of claim 1, wherein the sensor includes a scale-type sensor and the sensor data includes information about the physical weight of the object.

7. The system of claim 1, wherein the sensor includes a tactile sensor and the sensor data includes information about a texture of the object.

8. The system of claim 1, wherein the sensor includes a density sensor and the sensor data includes information about a density of the object.

9. The system of claim 1, wherein the user characteristic information includes an implicit or explicit user preference in a profile of the user.

10. The system of claim 1, wherein the at least one physical characteristic includes color, scent, physical weight, density, texture, and object category.

11. The system of claim 1, wherein a user can subsequently add, subtract or reweight characteristics in order to further refine the search.

12. A method comprising:

receiving, using a processor of a machine, user characteristics and sensor data from at least one sensor about an object specified by a user;

extracting physical characteristics from the sensor data;

mapping the physical characteristics with user characteristics and related characteristics;

identifying item listings based on the mapped physical characteristics and user characteristics;

ranking item listings based on the mapped physical characteristics and user characteristics; and

causing presentation of the identified and ranked item listings to the user.

13. The method described in claim 12, wherein user characteristics include purchase history, profile information, and selectable preferences.

14. The method of claim 12, wherein a sensor includes a pigment photo-analyzer and sensor data includes information about an object'"'"'s color.

15. The method of claim 12, wherein a sensor includes a depth photo-analyzer and sensor data includes information about an object'"'"'s shape.

16. The method of claim 12, wherein a sensor includes an olfactory sensor and sensor date includes information about an object'"'"'s scent.

17. The method of claim 12, wherein a sensor includes a scale-type sensor and sensor date includes information about an object'"'"'s physical weight.

18. The method of claim 12, wherein a sensor includes a tactile sensor and sensor data includes information about an object'"'"'s texture.

19. The method of claim 12, wherein a sensor includes a density sensor and sensor data includes information about an object'"'"'s density.

20. The method of claim 12, wherein user characteristics include implicit or explicit user preferences from the user'"'"'s profile information, purchase history, and other resources.

21. The method of claim 12, wherein physical characteristics include color, scent, physical weight, density, texture, and object category.

22. The method of claim 12, wherein user characteristics include implicit or explicit user preferences from the user'"'"'s profile information, purchase history, and other resources.

23. The method of claim 12, wherein a user can subsequently add, subtract or reweight characteristics in order to further refine the search.