Insight Enterprises has patented a clustered metasearch system that uses Natural Language Processing to sort search results based on relevance to the search query. The system prioritizes results from the same realm as the query, considering factors like recency and search engine rank. GlobalData’s report on Insight Enterprises 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 Insight Enterprises, Holographic HUDs was a key innovation area identified from patents. Insight Enterprises's grant share as of May 2024 was 39%. Grant share is based on the ratio of number of grants to total number of patents.
Clustered metasearch system for internet search optimization
A recently granted patent (Publication Number: US11971939B1) discloses a system for internet searching that utilizes natural language processing to enhance search results. The system, comprising a processor and computer-readable memory, receives search queries, identifies the object of the query, matches it with high-frequency words in relevant realms, submits the query to multiple search engines, sorts the results based on realm relevance, and displays them in an ordered list. Additional features include parsing for descriptors, sorting based on descriptors, excluding mismatched results, and prioritizing results based on realm alignment, search engine ranking, publication time, and distance from the realm's center.
Furthermore, the system clusters root domain data into realms using a centroid-based algorithm, adjusts thresholds based on user feedback, sorts unsorted domains using metadata tags or web crawling, calculates realm centers based on high-frequency words, and prioritizes search results based on descriptors and realm alignment. The patent emphasizes the importance of matching search results with the realm applicable to the query object, ensuring relevance and accuracy in the displayed list. By incorporating various sorting criteria and clustering techniques, the system aims to provide users with more tailored and efficient search results, ultimately enhancing the search experience and information retrieval process on the internet.
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