IP Library Granted Patent US 10,942,976
Granted Patent B2
US 10,942,976 · App. 16/744,581 · Granted Mar 9, 2021

Systems, methods, and devices for identifying and presenting identifications of significant attributes of unique items

Inventors: David Wayne Franke (Austin, TX); Thomas Wyatt Wilbur (Austin, TX)
Assignee: VAST.COM, INC.
G06F16/951G06Q30/0201G06Q30/0206G06Q30/0625
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Quick Facts
Patent No.
US 10,942,976
App. No.
16/744,581
Filed
Jan 16, 2020
Granted
Mar 9, 2021
Kind
B2
Art Unit
3683
USPC
705/7.31
Abstract

The disclosure herein provides systems, methods, and devices for identifying and presenting identifications of significant attributes of unique items. A significant attributes system for identifying and presenting identifications of significant attributes of unique items comprises an item analysis engine, at least one driver models database, and a model building engine, wherein the item analysis engine comprises an item description receiver and one or more driver calculators.

Claims (51)

1. A system for monitoring electronic interactions associated with unique items and identifying and analyzing significant attributes of unique items, the system comprising:

one or more computer readable storage devices configured to store a plurality of computer executable instructions and at least one driver models database, the at least one driver models database configured to store information relating to one or more driver models; and

one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the plurality of computer executable instructions in order to cause the system to:

electronically monitor, substantially in real time, user interactions with one or more listing systems presenting for sale a plurality of unique items, each of the plurality of unique items comprising a plurality of attributes comprising at least a condition attribute and a location attribute, the plurality of attributes of each of the plurality of unique items comprising a unique combination of values;

generate user activity data based at least partially on the electronic monitoring of user interactions;

apply one or more model specifications to the user activity data to generate the one or more driver models, wherein the one or more driver models are configured to enable identification of which of a plurality of attributes of a selected unique item are driver attributes and to enable determination of values associated with the driver attributes;

electronically receive selected unique item data, the selected unique item data being related to the plurality of attributes of the selected unique item, the plurality of attributes of the selected unique item comprising at least a condition attribute and a location attribute; and

apply one or more of the generated driver models to the selected unique item data to identify which of the plurality of attributes of the selected unique item are driver attributes and to determine one or more values associated with the driver attributes.

2. The system of claim 1 , wherein the selected unique item comprises an automobile or a home.

3. The system of claim 1 , wherein the determined one or more values associated with the driver attributes of the selected unique item describe at least one of the following: an estimated price contribution of a driver attribute to an overall price of the selected unique item, a perceived value of a driver attribute, a level of desirability of a driver attribute.

4. The system of claim 1 , wherein the one or more hardware computer processors are further configured to execute the plurality of computer executable instructions in order to cause the system to:

electronically present one or more determined values associated with the driver attributes.

5. The system of claim 1 , wherein the electronically monitored user interactions comprises at least one of the following: a number of clicks on a link related to a specific unique item, a number of views of a webpage comprising information related to a specific unique item, a position of a specific unique item in a list of a plurality of specific unique items when a user interacts with the specific unique item, an amount of time a user spends viewing a page comprising information related to a specific unique item, a purchase by a user of a specific unique item, information submitted by a user to an advertiser relating to a specific unique item.

6. The system of claim 1 , further comprising an item attributes database configured to store attribute data relating to attributes of a plurality of selectable unique items and to associate each of the plurality of selectable unique items with a unique identifier;

wherein the selected unique item data comprises a unique identifier of the selected unique item.

7. The system of claim 1 , wherein the one or more driver models comprises at least one price driver model and at least one demand driver model, the at least one price driver model configured to enable identification of which of the plurality of attributes of the selected unique item are price driver attributes, the at least one demand driver model configured to enable identification of which of the plurality of attributes of the selected unique item are demand driver attributes.

8. A computer-implemented method for monitoring electronic interactions associated with unique items and identifying and analyzing significant attributes of unique items, the computer-implemented method comprising:

electronically monitoring, by a computer system, substantially in real time, user interactions with one or more listing systems presenting for sale a plurality of unique items, each of the plurality of unique items comprising a plurality of attributes comprising at least a condition attribute and a location attribute, the plurality of attributes of each of the plurality of unique items comprising a unique combination of values;

generating, using the computer system, user activity data based at least partially on the electronic monitoring of user interactions;

applying, using the computer system, one or more model specifications to the user activity data to generate one or more driver models, wherein the one or more driver models are configured to enable identification of which of a plurality of attributes of a selected unique item are driver attributes and to enable determination of values associated with the driver attributes;

storing the one or more driver models in a driver models database;

electronically receiving, using the computer system, selected unique item data, the selected unique item data being related to the plurality of attributes of the selected unique item, the plurality of attributes of the selected unique item comprising at least a condition attribute and a location attribute; and

applying, using the computer system, one or more of the generated driver models to the selected unique item data to identify which of the plurality of attributes of the selected unique item are driver attributes and to determine one or more values associated with the driver attributes,

wherein the computer system comprises one or more hardware computer processors in communication with one or more computer readable storage devices.

9. The computer-implemented method of claim 8 , wherein the selected unique item comprises an automobile or a home.

10. The computer-implemented method of claim 8 , wherein the determined one or more values associated with the driver attributes of the selected unique item describe at least one of the following: an estimated price contribution of a driver attribute to an overall price of the selected unique item, a perceived value of a driver attribute, a level of desirability of a driver attribute.

11. The computer-implemented method of claim 8 , further comprising:

electronically presenting one or more determined values associated with the driver attributes.

12. The computer-implemented method of claim 8 , wherein the electronically monitored user interactions comprises at least one of the following: a number of clicks on a link related to a specific unique item, a number of views of a webpage comprising information related to a specific unique item, a position of a specific unique item in a list of a plurality of specific unique items when a user interacts with the specific unique item, an amount of time a user spends viewing a page comprising information related to a specific unique item, a purchase by a user of a specific unique item, information submitted by a user to an advertiser relating to a specific unique item.

13. The computer-implemented method of claim 8 , further comprising:

storing, in an item attributes database, attribute data relating to attributes of a plurality of selectable unique items; and

associating each of the plurality of selectable unique items with a unique identifier,

wherein the selected unique item data comprises a unique identifier of the selected unique item.

14. The computer-implemented method of claim 8 , wherein the one or more driver models comprises at least one price driver model and at least one demand driver model, the at least one price driver model configured to enable identification of which of the plurality of attributes of the selected unique item are price driver attributes, the at least one demand driver model configured to enable identification of which of the plurality of attributes of the selected unique item are demand driver attributes.

15. A computer readable, non-transitory storage medium having a computer program stored thereon for causing a suitably programmed computer system to process by one or more processors computer-program code by performing a method for monitoring electronic interactions associated with unique items and identifying and analyzing significant attributes of unique items when the computer program is executed on the suitably programmed computer system, the method comprising:

electronically monitoring, by a computer system, substantially in real time, user interactions with one or more listing systems presenting for sale a plurality of unique items, each of the plurality of unique items comprising a plurality of attributes comprising at least a condition attribute and a location attribute, the plurality of attributes of each of the plurality of unique items comprising a unique combination of values;

generating, using the computer system, user activity data based at least partially on the electronic monitoring of user interactions;

applying, using the computer system, one or more model specifications to the user activity data to generate one or more driver models, wherein the one or more driver models are configured to enable identification of which of a plurality of attributes of a selected unique item are driver attributes and to enable determination of values associated with the driver attributes;

storing the one or more driver models in a driver models database;

electronically receiving, using the computer system, selected unique item data, the selected unique item data being related to the plurality of attributes of the selected unique item, the plurality of attributes of the selected unique item comprising at least a condition attribute and a location attribute; and

applying, using the computer system, one or more of the generated driver models to the selected unique item data to identify which of the plurality of attributes of the selected unique item are driver attributes and to determine one or more values associated with the driver attributes,

wherein the computer system comprises one or more hardware computer processors in communication with one or more computer readable storage devices.

16. The computer readable, non-transitory storage medium of claim 15 , wherein the selected unique item comprises an automobile or a home.

17. The computer readable, non-transitory storage medium of claim 15 , wherein the determined one or more values associated with the driver attributes of the selected unique item describe at least one of the following: an estimated price contribution of a driver attribute to an overall price of the selected unique item, a perceived value of a driver attribute, a level of desirability of a driver attribute.

18. The computer readable, non-transitory storage medium of claim 15 , wherein the method further comprises:

electronically presenting one or more determined values associated with the driver attributes.

19. The computer readable, non-transitory storage medium of claim 15 , wherein the electronically monitored user interactions comprises at least one of the following: a number of clicks on a link related to a specific unique item, a number of views of a webpage comprising information related to a specific unique item, a position of a specific unique item in a list of a plurality of specific unique items when a user interacts with the specific unique item, an amount of time a user spends viewing a page comprising information related to a specific unique item, a purchase by a user of a specific unique item, information submitted by a user to an advertiser relating to a specific unique item.

20. The computer readable, non-transitory storage medium of claim 15 , wherein the method further comprises:

storing, in an item attributes database, attribute data relating to attributes of a plurality of selectable unique items; and

associating each of the plurality of selectable unique items with a unique identifier,

wherein the selected unique item data comprises a unique identifier of the selected unique item.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 5, 2020
From: FRANKE, DAVID WAYNE; WILBUR, THOMAS WYATT
To: VAST.COM, INC.
Reel/Frame 053977/0173 →
Continuity (6)
Continuation 16181108 · Nov 5, 2018
Continuation 15601249 · May 22, 2017
Continuation 15253007 · Aug 31, 2016
Continuation 13924375 · Jun 21, 2013
Provisional Application 61774477 · Mar 7, 2013
Related Publication 20200293580A1 · Sep 17, 2020
Cited By (3)
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