Dynamic generation of user interface elements

• US 10,332,194 B2
• Filed: 04/02/2015
• Issued: 06/25/2019
• Est. Priority Date: 04/02/2015
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Chong, Huai-ter, Liu, Yun
• Primary Examiner(s): Haq, Naeem U
• Assistant Examiner(s): Sutch, Jr., Norman Donald
• Application Number:
  US14/677,912
• Publication Number:
  US 20160291807A1
• Time in Patent Office: 1,545 Days
• Field of Search: None
• CPC Class Codes: G06F 8/38 for implementing user interfaces
• CPC Class Codes: G06F 9/4451 User profiles; Roaming
• CPC Class Codes: G06Q 30/0641 Shopping interfaces
• CPC Class Codes: G06Q 30/08 Auctions

Abstract

In various example embodiments, a system and method for dynamically generating user interface elements and associated values are presented. An item listing and profile data are accessed. A set of user interface elements are dynamically generated based on the item listing and the profile data, with each user interface element configured to perform an action on the item listing. A set of values are dynamically determined, with each value being associated with a user interface element of the set of user interface elements. The set of user interface elements are then caused to be presented within the item listing.

Claims

1. A system comprising:

an access module, configured to use at least one processor of a machine, to access an item listing stored on a network-based publication system and receive profile data of a user interacting with the item listing on the network-based publication system, the profile data comprising a user experience level associated with interacting with the network-based publication system;

a user interface module, configured to use the at least one processor, to analyze the profile data and the item listing and dynamically determine a number of elements included in a set of user interface elements to generate for display within the item listing to provide experience-based assistance for interacting with the network-based publication system and based, at least in part, on the item listing and the profile data, each respective user interface element of the set of user interface elements configured to perform an action on the item listing by configuring the number of elements included in the set of user interface elements based on the user experience level;

a value module, configured to use the at least one processor, to dynamically determine a set of values to be associated with the set of user interface elements by utilizing a machine learning model that determines relative importance of one or more factors associated with the item listing used to determine the set of values, the set of values being based, at least in part, on the item listing, the number of elements included in the set of user interface elements, and the profile data, each respective value of the set of values being associated with a respective user interface element of the set of user interface elements; and

a presentation module to cause presentation of the set of user interface elements and the set of values within the item listing.

2. The system of claim 1, wherein the access module is further configured to access a first set of item listings and determine a second set of item listings by identifying item listings in the first set of item listings that are similar to the item listing interacted with by the user.

3. The system of claim 2, wherein the user interface module is further configured to determine the number of elements included in the set of user interface elements based on the item listing, the profile data, and the second set of item listings.

4. The system of claim 3, wherein the value module is further configured to determine each respective value of the set of values based on the number of elements included in the set of user interface elements, the item listing, the profile data, and the set of second item listings.

5. The system of claim 1, wherein the item listing includes a set of listing factors and the profile data includes a set of profile factors, and

wherein the system further comprises a ranking module configured to rank the set of listing factors and the set of profile factors and pass the listing factors and profile factors exceeding a predetermined threshold to the value module as the one or more factors used to determine the set of values.

6. The system as recited in claim 1, wherein the one or more factors comprises at least one of:

a time remaining until an end to an auction associated with the item listing;

a number of times the user has been outbid on one or more items similar to the item listing;

a number of bidders associated with the item listing;

or

a trending price associated with the item listing.

7. The system as recited in claim 1, wherein the user interface module is further configured to dynamically determine the number of elements included in the set of user interface elements based, at least in part, on one or more characteristics associated with a client device accessing the item listing.

8. A method comprising:

accessing, by a processor of a machine, an item listing stored on a network-based publication system;

accessing profile data of a user interacting with the item listing on the network-based publication system, the profile data including a user experience level associated with interacting with the network-based publication system;

based on the item listing and the profile data, dynamically generating, using the processor, a set of user interface elements to be displayed within the item listing and configured to provide experience-based assistance for interacting with the network-based publication system, each respective user interface element of the set of user interface elements configured to perform a respective action on the item listing, said dynamically generating the set of user interface elements comprising dynamically determining a number of elements included in the set of user interface elements based on the user experience level;

based on the item listing and the profile data, dynamically determining a set of values to be associated with the set of user interface elements by utilizing a machine learning model that determines relative importance of one or more factors associated with the item listing and the profile data used to determine the set of values, each respective user interface element of the set of user interface elements being associated with a respective value of the set of values, said dynamically determining the set of values based on the item listing, the number of elements included in the set of user interface elements and the profile data; and

causing presentation of the set of user interface elements within the item listing.

9. The method of claim 8, wherein the one or more factors comprises at least one factor of a set of listing factors associated with the item listing and a set of profile factors associated with the profile data.

10. The method of claim 9 further comprising ranking the set of listing factors and the set of profile factors included in the one or more factors, wherein the set of listing factors and the set of profile factors included in the one or more factors comprise factors that exceed a predetermined threshold.

11. The method of claim 8, wherein the respective action performed by the respective user interface element comprises placing a bid for the item listing using the respective value associated with the respective user interface element as a bid value.

12. The method of claim 11, where the set of values includes a first value and a second value, the first value representing a minimum bid that corresponds to a current high bid for the item listing combined with a first incremental value, the second value representing the current high bid combined with a second incremental value greater than the first incremental value.

13. The method of claim 8 further comprising:

accessing a first set of item listings; and

determining a second set of item listings from the first set of item listings by identifying item listings in the first set of item listings that are similar to the item listing interacted with by the user.

14. The method of claim 13, wherein said dynamically determining the number of elements included in the set of user interface elements further comprises determining the number of elements based on the user experience level, the item listing, the profile data, and the second set of item listings.

15. The method of claim 14, wherein said dynamically determining the set of values associated with the set of user interface elements further comprises:

determining each respective value of the set of values based on the number of elements included in the set of user interface elements, the item listing, and the second set of item listings.

16. The method as recited in claim 13, wherein said identifying items listings that are similar to the item listing comprises performing a keyword search.

17. The method as recited in claim 8, wherein the one or more factors associated with the profile data comprise at least one of:

a number of times the user has been outbid in the network-based publication system;

a number of times the user has been outbid on a particular item;

a number of bids the user has placed within a predetermined time period;

a number of item listings within a category on which the user has placed a winning bid;

a number of page views performed by the user on a particular item listing;

or

a number of watchlist items associated with the user.

18. The method as recited in claim 8, wherein the one or more factors associated with the item listing comprise at least one of:

quantity information;

a number of watchers;

a number of active bids;

a current bid value;

a distance between a starting bid value and the current bid value;

a time remaining in an auction associated with the item listing;

a minimum bid value;

or

a number of items which have been determined to be similar to the listing item and are ending within a predetermined time period.

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

accessing, using the processor, an item listing stored on a network-based publication system;

accessing profile data of a user interacting with the item listing on the network-based publication system, the profile data including a user experience level associated with interacting with the network-based publication system;

analyzing, using the processor, the item listing and the profile data to dynamically determine a set of user interface elements to generate for display within the item listing based, at least in part, on the item listing and the profile data, each respective user interface element of the set of user interface elements configured to perform an action on the item listing, said analyzing comprising dynamically determining a number of elements included in the set of user interface elements based on the user experience level;

dynamically determining a set of values to be associated with the set of user interface elements by utilizing a machine learning model that determines relative importance of one or more factors associated with the item listing used to determine the set of values, each respective user interface element being associated with a respective value of the set of values, said determining the set of values based, at least in part, on the item listing the number of elements included in the set of user interface elements and the profile data; and

causing presentation of the determined set of user interface elements within the item listing.

20. The non-transitory machine-readable storage medium of claim 19, wherein said dynamically determining the set of values further comprises determining a range of values to associate with a slider user interface element.