DATA MESH VISUALIZATION

• US 20150279069A1
• Filed: 07/31/2014
• Published: 10/01/2015
• Est. Priority Date: 03/25/2014
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Melcher, Ryan, Tapley, John, Lee, Robert
• Granted Patent: US 9,886,710 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/24 Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0633 Lists, e.g. purchase orders, compilation or processing
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs
• CPC Class Codes: H04L 2101/69 using geographic information, e.g. room number
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation
• CPC Class Codes: H04L 63/08 for authentication of entities cryptographic mechanisms or cryptographic arrangements for entity authentication H04L9/32
• CPC Class Codes: H04L 63/107 wherein the security policies are location-dependent, e.g. entities privileges depend on current location or allowing specific operations only from locally connected terminals
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/1042 using topology management mechanisms
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• CPC Class Codes: H04W 76/14 Direct-mode setup
• CPC Class Codes: H04W 84/18 Self-organising networks, e.g. ad-hoc networks or sensor networks

Abstract

In various example embodiments, a system and method for data mesh visualization are presented. Attribute data associated with a user may be received from a plurality of attribute sources. User characteristics may be inferred based on an analysis of at least a portion of the attribute data. A visualization may be generated based, at least in part, on the user characteristics. The visualization may be representative of the attribute data. The visualization may be caused to be presented to the user.

Claims

1. A system comprising:

an attribute module to receive attribute data associated with a user from a plurality of attribute sources;

a characteristic module to infer user characteristics based on an analysis of at least a portion of the attribute data;

a visualization module, implemented by a hardware processor of a machine, to generate a visualization based at least in part on the user characteristic, the visualization being representative of the attribute data; and

a presentation module to cause presentation of the visualization to the user.

2. The system of claim 1, wherein the presentation module further to receive user input indicating a change to the visualization, the visualization module further to update the visualization according to the change indicated by the user input, and the characteristic module further to infer subsequent user characteristics based, at least in part, on the user input.

3. The system of claim 2, wherein the user input comprises a user interaction with the visualization.

4. The system of claim 1, further comprising:

an analysis module to identify similar users from among a plurality of other users that are similar to the user based on the inferred user characteristics and respective user characteristics of the plurality of other users; and

the visualization module further to generate the visualization based on the user characteristics of the identified similar users.

5. The system of claim 1, further comprising an analysis module to:

determine satisfaction of a reward criteria associated with the attribute data; and

provide a reward to the user based on the determined satisfaction of the reward criteria, wherein the reward comprises a visualization feature.

6. The system of claim 5, wherein the analysis module is further to:

calculate a completeness metric based on the attribute data, the reward criteria including a criterion based on the completeness metric.

7. The system of claim 6, wherein the completeness metric indicates a quantity of a specified type of data included in the attribute data and wherein the criterion based on the completeness metric is satisfied by the user providing the specified type of data.

8. The system of claim 5, wherein the analysis module is further to:

calculate a quality metric based on the attribute data, the reward criterion including a criterion based on the quality metric.

9. The system of claim 8, wherein quality metric indicates a recentness of the attribute data and wherein the criterion based on the quality metric is satisfied by the user providing recent data.

10. A method comprising:

receiving attribute data associated with a user from a plurality of attribute sources;

inferring user characteristics pertaining to the user from the attribute data, the user characteristics including a physical characteristic of the user;

generating, using a hardware processor of a machine, an avatar representative of the user based on the inferred user characteristics, the avatar including an avatar trait corresponding to the physical characteristic of the user; and

causing presentation of the visualization to the user.

11. The method of claim 10, further comprising:

receiving user input indicating a change to the avatar; and

updating the avatar according to the change indicated by the user input, subsequent inferred user characteristics being inferred based, at least in part, on the user input.

12. The method of claim 11, wherein the user input comprises a user interaction with the avatar.

13. The method of claim 10, further comprising:

identifying similar users, from among a plurality of other users, that are similar to the user based on the inferred user characteristics and respective user characteristics of the plurality of other users; and

determining the avatar trait based on the user characteristics of the identified similar users.

14. The method of claim 10, further comprising:

determining satisfaction of a reward criteria associated with the attribute data; and

providing a reward to the user based on the determined satisfaction of the reward criteria, wherein the reward comprises an avatar feature.

15. The method of claim 14, further comprising:

calculating a completeness metric based on the attribute data, the reward criteria including a criterion based on the completeness metric.

16. The method of claim 15, wherein the completeness metric indicates a quantity of a specified type of data included in the attribute data and wherein the criterion based on the completeness metric is satisfied by the user providing the specified type of data.

17. The method of claim 14, further comprising:

calculating a quality metric based on the attribute data, the reward criterion including a criterion based on the quality metric.

18. The method of claim 17, wherein quality metric indicates a recentness of the attribute data and wherein the criterion based on the quality metric is satisfied by the user providing recent data.

19. The method of claim 14, further comprising:

identifying similar users from among a plurality of other users that are similar to the user based on the inferred user characteristics and respective user characteristics of the plurality of other users; and

determining satisfaction of the reward criteria based on the attribute data associated with the identified similar users.

20. A machine readable medium having no transitory signals and storing instructions that, when executed by at least one processor of a machine, cause the machine to perform operations comprising:

receiving attribute data associated with a user from a plurality of attribute sources;

inferring user characteristics from the attribute data, the user characteristics pertaining to the user;

generating a user interface including an avatar representative of the user based on the inferred user characteristics, the user characteristics including a physical characteristic of the user, the avatar including an avatar trait corresponding to the physical characteristic of the user; and

causing presentation of the user interface in a device of the user.