Home Depot has been granted a patent for a method that uses machine learning to analyze user-generated text associated with products, identifying characteristics and grouping them to generate a related product interface based on user input related to a product category. GlobalData’s report on Home Depot gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Data Insights The Home Depot Inc - Company Profile

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According to GlobalData’s company profile on Home Depot, was a key innovation area identified from patents. Home Depot's grant share as of February 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.

Generating related product interface based on user-generated text

Source: United States Patent and Trademark Office (USPTO). Credit: The Home Depot Inc

The granted patent (Publication Number: US11928720B2) describes a method and system for generating a related product interface portion in an electronic user interface based on end user-generated text. The method involves applying a machine learning model to identify characteristics in the user-generated text associated with each product, determining characteristic groups based on similarities, receiving user input related to a product category, and presenting a related product interface portion based on the identified characteristic groups related to the product category. The system includes a processor executing instructions stored in a computer-readable medium to perform the method steps.

Furthermore, the method and system involve determining representative products for each characteristic group based on popularities or confidence scores associated with the characteristics, selecting products within the same product category, and utilizing natural language processing modules within the machine learning model. Additionally, the method includes comparing characteristics from different products to assign them to specific characteristic groups, presenting products based on metrics like confidence scores, and utilizing embeddings to calculate similarities between characteristics. The system also allows for the presentation of multiple products from different characteristic groups in the related product interface portion, enhancing user experience and product visibility.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.