Systems and methods for search result display

Patent metadata

Field	Value
Publication number	US-10515402-B2
Application number	US-201615011504-A
Country	US
Kind code	B2
Filing date	Jan 30, 2016
Priority date	Jan 30, 2016
Publication date	Dec 24, 2019
Grant date	Dec 24, 2019

Abstract

In some embodiments, a method can comprise categorizing, in a database, one or more purchasing categories based at least in part on one or more queries. In some embodiments the one or more purchasing categories can comprise one or more products. The method can further comprise computing a set of browse categories of the one or more purchasing categories, loading the set of browse categories of the one or more purchasing categories into non-transitory memory, and receiving a query. In some embodiments, the method can further comprise determining one or more results for the query, the one or more results comprising a portion of the one or more products, analyzing intention of the query, and selecting a display configuration of the one or more results based at least in part on the intention. Other embodiments of related methods and systems are also provided.

First claim

What is claimed is:

1. A system comprising:
one or more processors;
one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform:
categorizing, in a database, one or more purchasing categories based at least in part on one or more queries, the one or more purchasing categories comprising one or more products;
computing a set of browse categories for each category of the one or more purchasing categories, comprising:
quantifying a ratio of first click data for the each category received from browsing activity to second click data for the each category received from query activity; and
categorizing the each category of the one or more purchasing categories as a browse category when the ratio is above a predetermined threshold;

loading the set of browse categories for each category of the one or more purchasing categories into non-transitory memory;
receiving a query;
determining one or more results for the query, the one or more results comprising a portion of the one or more products of the one or more purchasing categories;
analyzing an intention of the query by:
associating at least one of the one or more purchasing categories with the query;
generating a comparison of (a) the at least one of the one or more purchasing categories associated with the query and (b) the set of browse categories for each category of the one or more purchasing categories; and
determining an overlap of purchasing categories of the at least one of the one or more purchasing categories with the set of browse categories based on the comparison, wherein the at least one of the one or more purchasing categories match the query, and wherein the overlap indicates at least a browse intention of the query;

selecting a display configuration of the one or more results based at least in part on the intention of the query; and
sending instructions to display the one or more results in the display configuration matching the intention of the query on an interface of a mobile device.

2. The system of claim 1 , wherein:
computing the set of browse categories for each category of the one or more purchasing categories further comprises analyzing historical sales data of the one or more products.

3. The system of claim 2 , wherein:
analyzing the historical sales data of the one or more products comprises determining sales data of the one or more products over a time period.

4. The system of claim 3 , wherein:
the time period is approximately 30 days.

5. The system of claim 1 , wherein:
computing the set of browse categories for each category of the one or more purchasing categories further comprises aggregating historical product views over a product historical time period.

6. The system of claim 1 , wherein:
selecting the display configuration comprises at least one of:
selecting a grid display when the overlap of purchasing categories of the at least one of the one or more purchasing categories comprises one or more overlapping categories; or
selecting a list display when the overlap of purchasing categories of the at least one of the one or more purchasing categories comprises no overlapping categories.

7. The system of claim 1 , wherein:
computing the set of browse categories for each category of the one or more purchasing categories further comprises:
analyzing historical sales data of the one or more products; and
aggregating historical product views over a product historical time period;

analyzing the historical sales data of the one or more products comprises determining sales data of the one or more products over a time period; and
selecting the display configuration comprises at least one of:
selecting a grid display when the overlap of purchasing categories of the at least one of the one or more purchasing categories comprises one or more overlapping categories; or
selecting a list display when the overlap of purchasing categories of the at least one of the one or more purchasing categories comprises no overlapping categories.

8. A method comprising:
categorizing, in a database, one or more purchasing categories based at least in part on one or more queries, the one or more purchasing categories comprising one or more products;
computing a set of browse categories, for each category of the one or more purchasing categories, comprising:
quantifying a ratio of first click data for the each category received from browsing activity to second click data for the each category received from query activity; and
categorizing the each category of the one or more purchasing categories as a browse category when the ratio is above a predetermined threshold;

loading the set of browse categories for each category of the one or more purchasing categories into non-transitory memory;
receiving a query;
determining one or more results for the query, the one or more results comprising a portion of the one or more products of the one or more purchasing categories;
analyzing an intention of the query by:
associating at least one of the one or more purchasing categories with the query;
generating a comparison of (a) the at least one of the one or more purchasing categories associated with the query and (b) the set of browse categories for each category of the one or more purchasing categories; and
determining an overlap of purchasing categories of the at least one of the one or more purchasing categories with the set of browse categories based on the comparison, wherein the at least one of the one or more purchasing categories match the query, and wherein the overlap indicates at least a browse intention of the query;

selecting a display configuration of the one or more results based at least in part on the intention of the query; and
sending instructions to display the one or more results in the display configuration matching the intention of the query on an interface of a mobile device.

9. The method of claim 8 , wherein:
computing the set of browse categories for each category of the one or more purchasing categories further comprises analyzing historical sales data of the one or more products.

10. The method of claim 9 , wherein:
analyzing the historical sales data of the one or more products comprises determining sales data of the one or more products over a time period.

11. The method of claim 10 , wherein:
the time period is approximately 30 days.

12. The method of claim 9 , wherein:
computing the set of browse categories for each category of the one or more purchasing categories further comprises aggregating historical product views over a product historical time period.

13. The method of claim 12 wherein:
the historical time period is approximately 30 days.

14. The method of claim 9 , wherein:
computing the set of browse categories for each category of the one or more purchasing categories further comprises:
analyzing the historical sales data of the one or more products; and
aggregating historical product views over a product historical time period; and

analyzing the historical sales data of the one or more products comprises determining sales data of the one or more products over a time period; and
selecting the display configuration comprises at least one of:
selecting a grid display when the overlap of purchasing categories of the at least one of the one or more purchasing categories comprises one or more overlapping categories; or
selecting a list display when the overlap of purchasing categories of the at least one of the one or more purchasing categories comprises no overlapping categories.

Assignees

• Wal Mart Stores Inc
• Walmart Apollo Llc

Inventors

• Chen Zebin
• Lopatenko Andrei
• Pathak Manas

Classifications

• G06Q30/0641 Primary

  utilising user interfaces specially adapted for shopping · CPC title

• G06Q30/0625

  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

• G06F16/285

  Clustering or classification · CPC title

• G06F16/957

  Browsing optimisation, e.g. caching or content distillation · CPC title