Methods and systems for determining household characteristics

Patent metadata

Field	Value
Publication number	US-12475498-B2
Application number	US-202217589071-A
Country	US
Kind code	B2
Filing date	Jan 31, 2022
Priority date	Jan 31, 2022
Publication date	Nov 18, 2025
Grant date	Nov 18, 2025

Abstract

A system and method for recommending products based on characteristics of a customer's household. The system and method associates age dependent products with developmental stages on a universal developmental scale and determines a subset of age dependent products based on prior engagements by the customer's household. Using the development stages associated with the subset of age dependent products characteristics of the customer's household may determine specifically the number and ages of juveniles in the customer's household. Performing Gaussian mixture model or multivariate kernel density estimation on the developmental stages associated with the engagements of customer's household, the age(s) and number of juveniles respectively may be determined and recommendations of products and services to the customer or customer's household based upon these characteristics may be advantageously made.

First claim

What is claimed is:

1 . A method, by at least one processor, for recommending products based on characteristics of a customer's household, the method comprising:
receiving, from a computing device, a search query submitted by the customer; determining, from a plurality of age dependent products each having an associated developmental stage, a subset of age dependent products based on engagements by the customer's household; retrieving, from a database, a plurality of developmental stages associated with each of the age dependent products in the subset; determining a probability density function whose value at each data point represents a relative likelihood that the customer's household has a corresponding number of juveniles by performing a multivariate kernel density estimation upon the retrieved plurality of developmental stages; determining a number of developmental stages associated with the customer's household based on the probability density function and a Gaussian mixture model performed upon the retrieved plurality of developmental stages; recommending selective age dependent products of the plurality of age dependent products to the customer's household based upon the search query and the determined number of developmental stages associated with the customer's household; transmitting, in response to the search query, the selective age dependent products to the computing device as search results; and validating performance of the Gaussian mixture model using an evaluation metric based on statistical reasoning.

2 . The method of claim 1 , further comprising:
associating each of the plurality of age dependent products with a respective developmental stage on a universal developmental scale.

3 . The method of claim 2 , wherein ones of the plurality of age dependent products are associated with a first scale.

4 . The method of claim 3 , wherein others of the plurality of age dependent products are associated with a second scale different from the first scale.

5 . The method of claim 4 , wherein the step of associating each of the plurality of age dependent products with the universal developmental scale further comprises correlating the first and second scales with the universal developmental scale.

6 . The method of claim 1 , wherein each of the plurality of developmental stages represents a time period.

7 . The method of claim 1 , wherein the engagements by the customer's household are selected from the group consisting of purchases, add to cart, click on, queries, search result, and views.

8 . The method of claim 1 , wherein the step of recommending comprises presenting images of the selective age dependent products on a website to the customer.

9 . The method of claim 1 , wherein the recommended products have an attribute commensurate with the determined number of developmental stages.

10 . The method of claim 9 , wherein the attribute is packaging size.

11 . A system for recommending products based on characteristics of a customer's household, comprising:
a computing device operably connected to a database via a communication system, the computing device configured to:
receive, from a user computing device, a search query submitted by the customer;
determine, from a plurality of age dependent products each having an associated developmental stage, a subset of age dependent products based on engagements by the customer's household;
retrieve, from the database, a plurality of developmental stages associated with each of the age dependent products in the subset;
determine a probability density function whose value at each data point represents a relative likelihood that the customer's household has a corresponding number of juveniles by performing a multivariate kernel density estimation upon the retrieved plurality of developmental stages;
determine a number of developmental stages associated with the customer's household based on the probability density function and a Gaussian mixture model performed upon the retrieved plurality of developmental stages;
recommend selective age dependent products of the plurality of age dependent products to the customer's household based upon the search query and the determined number of developmental stages associated with the customer's household;
transmit, in response to the search query, the selective age dependent products to the user computing device as search results; and
validate performance of the Gaussian mixture model using an evaluation metric based on statistical reasoning.

12 . The system of claim 11 , wherein:
the computing device is further configured to associate each of the plurality of age dependent products with one or more developmental stages on a universal developmental scale; ones of the plurality of age dependent products are associated with a first scale; others of the plurality of age dependent products are associated with a second scale different from the first scale; and the first scale and the second scale are correlated with the universal developmental scale.

13 . The system of claim 11 , wherein:
the computing device is further configured to transmit each of the associated one or more developmental stages to the database over the communication system for storage with an associated age dependent product in the database; and the database is configured such that the determined number of developmental stages is stored and associated as a characteristic of the customer's household within the database.

14 . A non-transitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by at least one processor, cause a device to perform operations comprising:
receiving, from a computing device, a search query submitted by a customer; determining, from a plurality of age dependent products each having an associated developmental stage, a subset of age dependent products based on engagements by the customer's household; retrieving, from a database, a plurality of developmental stages associated with each of the age dependent products in the subset; determining a probability density function whose value at each data point represents a relative likelihood that the customer's household has a corresponding number of juveniles by performing a multivariate kernel density estimation upon the retrieved plurality of developmental stages; determining a number of developmental stages associated with the customer's household based on the probability density function and a Gaussian mixture model performed upon the retrieved plurality of developmental stages; recommending selective age dependent products of the plurality of age dependent products to the customer's household based upon the search query and the determined number of developmental stages associated with the customer's household; transmitting, in response to the search query, the selective age dependent products to the computing device as search results; and validating performance of the Gaussian mixture model using an evaluation metric based on statistical reasoning.

15 . The non-transitory computer readable medium of claim 14 , wherein the operations further comprise:
associating each of the plurality of age dependent products with a respective developmental stage on a universal developmental scale, the universal developmental scale comprised of a plurality of sequential developmental stages.

16 . The non-transitory computer readable medium of claim 15 , wherein:
ones of the plurality of age dependent products are associated with a first scale; and others of the plu

Assignees

• Walmart Apollo Llc

Inventors

• Gupta Sneha
• Rajasekaran Rishi
• Sinha Nimesh
• Xu Yue
• Arora Yokila
• Cho Hyun Duk
• Kumar Sushant
• Achan Kannan

Classifications

• G06Q30/0201

  Market modelling; Market analysis; Collecting market data · CPC title

• G06Q30/0631 Primary

  Recommending goods or services · CPC title