Home Depot. has been granted a patent for a search result ranking system that utilizes multi-modal document vector models and category-specific ranking algorithms. This system ranks documents based on search queries, creating an ordered list that highlights the highest-ranked documents from various categories. 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, was a key innovation area identified from patents. Home Depot's grant share as of July 2024 was 69%. Grant share is based on the ratio of number of grants to total number of patents.
Search result ranking system using multi-modal document models
The patent US12061615B2 describes a sophisticated search result ranking system that utilizes a processor and memory to enhance the retrieval and organization of documents based on user queries. The system is designed to process a set of responsive documents derived from a search across multiple electronically-readable documents. It employs a variety of ranking models tailored to different document categories, allowing for a nuanced ranking process. The system generates an ordered list of documents, ensuring that the highest-ranked documents from each category are included in the initial segment of the list. Additionally, the system can accommodate user-defined sorting criteria to further refine the output.
The patent also details the training of ranking models based on user interactions with search results. It involves collecting user search queries and their corresponding document selections to develop models that can effectively categorize and rank documents in future searches. The system incorporates multi-modal vector models that integrate various data types, including feature vectors, narrative descriptions, and images associated with the documents. This multi-faceted approach aims to improve the relevance and accuracy of search results, ultimately enhancing user experience by delivering more pertinent information based on their specific queries and preferences.
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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.
