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.
According to GlobalData’s company profile on Home Depot, was a key innovation area identified from patents. Home Depot's grant share as of May 2024 was 40%. 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 and system for providing search engine results using advanced techniques. 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 refining field embeddings to correct morphological errors. An attention value is generated based on the query and field embeddings, which is then applied to the initial set to generate a set of results. These results are further categorized and presented to the user, with the refined field embeddings playing a crucial role in the selection process.
Furthermore, the patent details a system that implements the method described, utilizing a processor to execute instructions stored in a computer-readable medium. The system generates initial sets of documents, refines field embeddings, applies attention values, and presents categorized results to users. By incorporating advanced techniques such as word-level embeddings, character-level embeddings, and neural networks, the system aims to enhance the search engine experience by providing more accurate and relevant results to users based on their queries. The system also allows for the allocation of documents to different levels of abstraction, ensuring a comprehensive and structured approach to document retrieval and presentation.
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