Systems and methods for browse facet ranking

Patent metadata

Field	Value
Publication number	US-10853863-B2
Application number	US-201615011498-A
Country	US
Kind code	B2
Filing date	Jan 30, 2016
Priority date	Jan 30, 2016
Publication date	Dec 1, 2020
Grant date	Dec 1, 2020

Abstract

In some embodiments, a method can comprise receiving a query and determining one or more results for the query. In many embodiments, the one or more results can comprise one or more shelves, each shelf of the one or more shelves can comprise one or more facets, and each facet of the one or more facets can comprise one or more items. In various embodiments, the method can further comprise facilitating display of at least a portion of the one or more results for the query by facilitating display of at least the portion of the one or more results in a ranked order. In many embodiments, displaying the portion of the one or more results in a ranked order can comprise determining a composite score for each facet of the one or more facets of each shelf of the one or more shelves. Other embodiments of related methods and systems are also provided.

First claim

What is claimed is:

1. A system comprising:
one or more processors; and
one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform:
receiving a query;
determining one or more results for the query, the one or more results comprising one or more shelves, each respective shelf of the one or more shelves comprising one or more respective facets, wherein the one or more respective facets comprise one or more respective facet values, wherein the one or more respective facet values comprise respective categories that describe respective characteristics of one or more items;
determining a respective composite score for each respective facet of the one or more respective facets of the each respective shelf of the one or more shelves by:
performing an analysis of at least one respective user activity associated with the each respective facet of the one or more respective facets;
customizing a respective weight parameter associated with each of the at least one respective user activity based at least in part on the analysis, wherein the respective weight parameter associated with the each of the at least one respective user activity comprises a respective item click weight, a respective item add-to-cart weight, and a respective item order weight;
assigning a fixed weight for at least the respective item click weight, the respective item add-to-cart weight, and the respective item order weight for the each respective facet of the one or more respective facets of the each respective shelf;
determining a respective facet click count for the each respective facet of the one or more respective facets based at least in part on the analysis;
determining a respective facet click score for the each respective facet of the one or more respective facets based at least in part on the analysis and the respective facet click count;
determining a respective item click score for the each respective facet of the one or more respective facets based at least in part on the analysis;
determining a respective item add-to-cart score for the each respective facet of the one or more respective facets based at least in part on the analysis; and
determining a respective item order score for the each respective facet of the one or more respective facets based at least in part on the analysis;

adjusting the respective weight parameter associated with the each of the at least one respective user activity to zero to prevent the one or more respective facets of the each of the at least one respective user activity from being displayed;
ranking the one or more respective facets of the each respective shelf based at least in part on the respective composite score for the each respective facet of the one or more respective facets of the each respective shelf;
selecting at least a portion of the one or more respective facets of the each respective shelf for display based at least in part on the ranking of the one or more respective facets of the each respective shelf;
re-arranging the at least the portion of the one or more respective facets of the each respective shelf of the one or more results from the query for display based at least in part on the ranking of the one or more respective facets of the each respective shelf; and
facilitating display of the at least the portion of the one or more respective facets, as re-arranged, of the each respective shelf of the one or more results for the query.

2. The system of claim 1 , wherein:
determining the respective item click score comprises determining a respective item click count and the respective item click weight; and
determining the respective item add-to-cart score comprises determining a respective item add-to-cart count and the respective item add-to-cart weight.

3. The system of claim 2 , wherein:
the respective facet click count, the respective item click count, the respective item add-to-cart count, and a respective item order count are determined over a time period.

4. The system of claim 2 , wherein:
determining the respective item order score comprises determining the respective item order count and the respective item order weight.

5. The system of claim 2 , wherein:
determining the respective item click count comprises counting an aggregate of each respective click on a respective item by one or more users after a respective click on one of the one or more respective facets of the each respective shelf by the one or more users.

6. The system of claim 2 , wherein:
determining the respective composite score for the each respective facet of the one or more respective facets of the each respective shelf comprises determining the respective composite score for the each respective facet of the one or more respective facets of the each respective shelf by a formula:
Score( i )= x 0 +a 1 x 1 +a 2 x 2 +a 3 x 3

wherein:
i is a respective facet of the one or more respective facets of the each respective shelf;
x 0 is the respective facet click count;
a 1 is the respective item click weight;
x 1 is the respective item click count;
a 2 is the respective item add-to-cart weight;
x 2 is the respective item add-to-cart count;
a 3 is the respective item order weight; and
x 3 is the respective item order count.

7. A method being implemented via execution of computing instructions configured to run at one or more processors and stored at one or more non-transitory computer readable media, the method comprising:
receiving a query;
determining one or more results for the query, the one or more results comprising one or more shelves, each respective shelf of the one or more shelves comprising one or more respective facets, wherein the one or more respective facets comprise one or more respective facet values, wherein the one or more respective facet values comprise respective categories that describe respective characteristics of one or more items;
determining a respective composite score for each respective facet of the one or more respective facets of the each respective shelf of the one or more shelves by:
performing an analysis of at least one respective user activity associated with the each respective facet of the one or more respective facets;
customizing a respective weight parameter associated with each of the at least one respective user activity based at least in part on the analysis, wherein the respective weight parameter associated with the each of the at least one respective user activity comprises a respective item click weight, a respective item add-to-cart weight, and a respective item order weight;
assigning a fixed weight for at least the respective item click weight, the respective item add-to-cart weight, and the respective item order weight for the each respective facet of the one or more respective facets of the each respective shelf;
determining a respective facet click count for the each respective facet of the one or more respective facets based at least in part on the analysis;
determining a respective facet click score for the each respective facet of the one or more respective facets based at least in part on the analysis and the respective facet click count;
determining a respective item click score for the each respective facet of the one or more respective facets based at least in part on the analysis;
determining a respective item add-to-cart score for the each respective facet of the one or more respective facets based at least in part on the analysis; and
determining a respective item order score for the each respective facet of the one or more respective facets based at least in part on the analysis,

adjusting the respective weight parameter associated

Assignees

• Wal Mart Stores Inc
• Walmart Apollo Llc

Inventors

• Pathak Manas
• Gungor Onur

Classifications

• G06F16/338

  Presentation of query results · CPC title

• G06F16/951

  Indexing; Web crawling techniques · CPC title

• G06Q30/0625 Primary

  by formulating product or service queries, e.g. using keywords or predefined options · CPC title

• G06Q30/0643

  graphically representing goods, e.g. 3D product representation · CPC title

• G06F16/24578

  using ranking · CPC title