Client user interface activity affinity scoring and tracking

Patent metadata

Field	Value
Publication number	US-11205218-B2
Application number	US-201816011407-A
Country	US
Kind code	B2
Filing date	Jun 18, 2018
Priority date	Jun 18, 2018
Publication date	Dec 21, 2021
Grant date	Dec 21, 2021

Abstract

Techniques and system configurations for generating, updating, and customizing user interface content and functionality based on user activity and a customer level of interest (affinity) for a particular commerce information item are disclosed. In an example, electronic operations used for generating and updating output of a user interface includes: processing streaming events that represent user activity involving a commerce information item performed by a user in a user interface; identifying a current score of the user activity from the streaming events; generating an affinity score corresponding to the commerce information item, based on forward time decay of a history score and a future score; and providing output in a user interface based on the generated affinity score. With these techniques, engagement and affinity of particular products/services, product groups, and offers, can be measured and tracked to enable improved outputs in an electronic commerce website or app.

First claim

What is claimed is:

1. A computer system comprising:
at least one processor; and
memory coupled to the at least one processor and storing instructions that, when executed by the processor, cause the computer system to perform operations comprising:
obtaining streaming events representing user activity performed by a user in a user interface, the user activity occurring in connection with a commerce information item, wherein the streaming events are produced from information retrieval activities or interaction activities initiated from the user in the user interface;
generating, based on the streaming events, a current score of user activity associated with the commerce information item, the current score of the user activity to provide a measurement of user interest in the commerce information item based on the user activity;
generating an affinity score for the commerce information item based on a calculated history score of measured user activity associated with the commerce information item and a calculated future score of projected user activity associated with the commerce information item,
wherein the history score is calculated by combining the current score of the user activity with a previous history score corresponding to the commerce information item, wherein the current score of the user activity used to calculate the history score is increased by a first forward time decay, and wherein the increasing of the current score by the first forward time decay increases weighting of the current score relative to the previous history score without re-evaluation of data used to produce the previous history score, and
wherein the future score is calculated by combining the current score of the user activity with a previous future score corresponding to the commerce information item, wherein the current score of the user activity used to calculate the future score is increased by a second forward time decay, and wherein the increasing of the current score by the second forward time decay increases weighting of the current score relative to the previous future score without re-evaluation of data used to produce the previous future score; and

providing content for output in the user interface, the content being selected for output based on the generated affinity score for the commerce information item.

2. The computer system of claim 1 ,
wherein the commerce information item provides one or more listing of:
a product details listing for a particular product;
a service details listing for a particular product;
a brand listing of one or more products or services for a particular brand;
a category listing of one or more products or services for a particular category; or
a search listing of one or more products or services for a particular search query; and
wherein the output in the user interface provides a change to an ordering, grouping, selection, or filtering of the respective listing based on the affinity score.

3. The computer system of claim 1 ,
wherein the current score of the user activity is based on one or more activity weights associated with the user activity;
wherein the affinity score is uniquely associated with the user of the user interface; and
wherein the computing system maintains respective affinity scores for respective users of the user interface.

4. The computer system of claim 1 ,
wherein the affinity score represents one or more of:
a product group affinity score corresponding to a rating of a user commerce action with a particular product group corresponding to the commerce information item;
a product affinity score corresponding to a rating of a user commerce action with a particular product corresponding to the commerce information item; or
an offer affinity score corresponding to a rating of a user commerce action with a particular offer corresponding to the commerce information item.

5. The computer system of claim 1 ,
wherein the output in the user interface, provided based on the affinity score, includes one or more of:
changed user interface functionality related to selection or viewing of the commerce information item;
changed user interface filtering of product or service information related to the commerce information item;
changed search results related to the commerce information item;
a display of a reminder related to the commerce information item; or
a display of a personalized recommendation related to the commerce information item.

6. The computer system of claim 1 ,
wherein the output of the user interface is further based on a profile corresponding to the user; and
wherein the profile corresponding to the user includes values maintained for the previous history score and the previous future score.

7. The computer system of claim 1 ,
wherein the history score is calculated to increase based on cumulative prior user activity in the user interface, and decay over time, to measure a projected current, interest of the user in the commerce information item based on prior user activity in the user interface.

8. The computer system of claim 7 ,
wherein the future score is calculated to increase based on cumulative prior user activity in the user interface, and decay over time and decrease if a transaction involving the commerce information item is complete, wherein the future score is calculated to estimate a projected future interest of the user in the commerce information item based on the cumulative prior user activity in the user interface.

9. The computer system of claim 1 , wherein the user interface is a customer interface provided to an electronic commerce service, and wherein the user interface is provided from:
a software application operating on a client computing device, wherein the streaming events are generated from user interface navigation and interaction by the user with the software application; or
a website hosted by a server computing device, wherein the streaming events are generated from user interface navigation and interaction in a web browser conducted by the user with the website.

10. A method, comprising a plurality of electronic operations executed with processor circuitry of a computing device, the plurality of electronic operations comprising:
receiving streaming events representing user activity performed by a user in a user interface, the user activity occurring in connection with a commerce information item, wherein the streaming events are produced from information retrieval activities or interaction activities initiated from the user in the user interface;
generating, based on the streaming events, a current score of user activity associated with the commerce information item, the current score of the user activity to provide a measurement of user interest in the commerce information item based on the user activity;
generating an affinity score for the commerce information item based on a calculated history score of measured user activity associated with the commerce information item and a calculated future score of projected user activity associated with the commerce information item,
wherein the history score is calculated by combining the current score of the user activity with a previous history score corresponding to the commerce information item, wherein the current score of the user activity used to calculate the history score is increased by a first forward time decay, and wherein the increasing of the current score by the first forward time decay increases weighting of the current score relative to the previous history score without re-evaluation of data used to produce the previous history score, and
wherein the future score is calculated by combining the current score of the user activit

Assignees

• Bby Solutions Inc

Inventors

• Ouyang Dong

Classifications

• G06Q30/0641 Primary

  utilising user interfaces specially adapted for shopping · CPC title

• G06Q30/0631 Primary

  Recommending goods or services · CPC title

• G06N5/048

  Fuzzy inferencing · CPC title