MACHINE GENERATED RECOMMENDATION AND NOTIFICATION MODELS

• US 20160086206A1
• Filed: 09/22/2015
• Published: 03/24/2016
• Est. Priority Date: 09/22/2014
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Churchill, Elizabeth, Ressler, Bryan Kent, Das Sarma, Atish, Gilbert, Michael
• Granted Patent: US 10,796,323 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/23 Updating
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Systems and methods are presented for matching a buyer and a seller on a market place system and generating calibrated user profiles. In one such system a plurality of subjective estimations of value is received. The subjective estimations of value are a measure between a predetermined minimum value and a predetermined maximum value. A user profile is generated. A plurality of user actions corresponding to the plurality of subjective estimations of value is received. The user profile is calibrated based on the plurality of user actions.

Claims

1. A method comprising:

receiving, by at least one processor of a server machine, a plurality of subjective estimations of value from a client device, the subjective estimations of value being graphical representations of a value between a predetermined minimum value and a predetermined maximum value as presented within a graphical user interface;

generating, by at least one processor of the server machine a user profile for a user of the client device;

receiving, from the client device, a plurality of user actions corresponding to the plurality of subjective estimations of value;

calibrating, by at least one processor of the server machine, the user profile based on the plurality of user actions to generate a calibrated user profile; and

causing presentation of a notification within a graphical user interface at the client device based on the calibrated user profile, the notification generated by at least one processor of the server machine.

2. The method of claim 1 wherein calibrating the user profile based on the plurality of user actions further comprises:

determining a probability of user action based on the plurality of subjective estimations of value and the plurality of user actions.

3. The method of claim 1 further comprising:

receiving, from the client device, a plurality of user actions corresponding to the plurality of subjective estimations of value.

4. The method of claim 1 further comprising:

receiving, from the client device, data indicative of a plurality of communication mechanisms by which to transmit a notification to a user.

5. The method of claim 4 further comprising:

selecting a communication mechanism of the plurality of communication mechanisms on which to transmit a notification to the client device.

6. The method of claim 5 further comprising:

transmitting the notification to the client device by the selected communication mechanism.

7. The method of claim 1 further comprising:

receiving an image depicting a first item having a plurality of characteristics; and

identifying one or more characteristic of the plurality of characteristics from the first item in the image.

8. The method of claim 7, wherein the one or more characteristic of the plurality of characteristics is identified by metadata associated with the image.

9. The method of claim 7 further comprising:

identifying, by the at least one processor of the server machine, one or more second items, the one or more second items represented by data stored on a database, the one or more second items sharing the one or more identified characteristics.

10. The method of claim 9 further comprising:

extracting one or more search terms from the data representing the one or more second items.

11. The method of claim 10 further comprising:

identifying a set of third items from a database of a network-based publication system using the one or more search terms extracted from the data representing the one or more second items.

12. A server machine, comprising:

one or more processor; and

processor executable instructions accessible on a non-transitory machine-readable medium that, when executed, cause the processor to perform operations comprising;

receiving, by at least one processor of a server machine, a plurality of subjective estimations of value from a client device, the subjective estimations of value being graphical representations of a value between a predetermined minimum value and a predetermined maximum value as presented within a graphical user interface;

generating, by at least one processor of the server machine a user profile for a user of the client device;

receiving, from the client device, a plurality of user actions corresponding to the plurality of subjective estimations of value;

calibrating, by at least one processor of the server machine, the user profile based on the plurality of user actions to generate a calibrated user profile; and

causing presentation of a notification within a graphical user interface at the client device based on the calibrated user profile, the notification generated by at least one processor of the server machine.

13. The server machine of claim 12, wherein the operations further comprise determining a probability of user action based on the plurality of subjective estimations of value and the plurality of user actions.

14. The server machine of claim 13, wherein the operations further comprise receiving a plurality of user actions corresponding to the plurality of subjective estimations of value and data indicative of a plurality of communication mechanisms by which to transmit a notification to a user.

15. The server machine of claim 14, wherein the operations further comprise selecting a communication mechanism of the plurality of communication mechanisms on which to transmit a notification to the client device.

16. The server machine of claim 12, wherein the operations further comprise receiving an image depicting a first item having a plurality of characteristics and identifying one or more characteristic of the plurality of characteristics from the first item in the image.

17. The server machine of claim 16, wherein the operations further comprise identifying one or more second items, the one or more second items represented by data stored on a database, the one or more second items sharing the one or more identified characteristics and configured to extract one or more search terms from the data representing the one or more second items.

18. A non-transitory machine-readable storage medium comprising processor executable instructions that, when executed by a processor of a machine, cause the machine to perform operations comprising:

receiving, by at least one processor of a server machine, a plurality of subjective estimations of value from a client device, the subjective estimations of value being graphical representation of a value between a predetermined minimum value and a predetermined maximum value as presented within a graphical user interface;

generating, by the at least one processor of the server machine, a user profile for a user of the client device;

receiving, from the client device, a plurality of user actions corresponding to the plurality of subjective estimations of value;

calibrating, by the at least one processor of the server machine, the user profile based on the plurality of user actions to generate a calibrated user profile; and

causing presentation of a notification within a graphical user interface at the client device based on the calibrated user profile, the notification generated by the at least one processor of the server machine.

19. The non-transitory machine-readable storage medium of claim 18, wherein the operations further comprise:

receiving, from the client device, data indicative of a plurality of communication mechanisms by which to transmit a notification to a user;

selecting communication mechanism of the plurality of communication mechanisms on which to transmit a notification to the client device; and

transmitting the notification to the client device by the selected communication mechanism.

20. The non-transitory machine-readable storage medium of claim 18, wherein the operations further comprise:

receiving an image depicting a first item having a plurality of characteristics;

identifying one or more characteristic of the plurality of characteristics from the first item in the image;

identifying, by the at least one processor of the server machine, one or more second items, the one or more second items represented by data stored on a database, the one or more second items sharing the one or more identified characteristics;

extracting one or more search terms from the data representing the one or more second items; and

identifying a set of third items from a database of a network-based publication system using the one or more search terms extracted from the data representing the one or more second items.