Home Depot has been granted a patent for a method of providing search engine results. The method involves generating an initial set based on a user query, determining document vectors, deriving fields, and applying attention values to refine results. The technology aims to improve search accuracy and relevance. 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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According to GlobalData’s company profile on Home Depot, Home Depot's grant share as of March 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.
Search engine results based on user query and attention value
A recently granted patent (Publication Number: US11960555B2) outlines a method for providing search engine results using a unique approach. The method involves generating an initial set of documents based on a user query, determining vectors for each document, deriving fields for each document, and using a model to create field embeddings. These embeddings are refined to correct morphological errors in the documents. An attention value is generated based on the vectors and field embeddings, which is then applied to the initial set to generate a set of results. The system also determines a category based on the attention value and presents a second set of results to the user, including documents from the initial set selected using the attention values and refined field embeddings.
Furthermore, the patent describes a system that implements this method, with a processor executing instructions stored in a computer-readable medium. The system generates an initial set of documents, derives fields, creates field embeddings, generates an attention value, applies it to the initial set, determines a category, and presents the results to the user. The attention value is calculated based on field embeddings and the user query, ensuring a more personalized and accurate set of search results. The system also allows for the presentation of query recommendations, revised document subsets, or individual documents based on the refined field embeddings and attention values, enhancing the search experience for users.
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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.
