Tanium’s patent involves a method for searching a collection of machines for documents similar to a target document. By generating a global dictionary from sampling responses and utilizing similarity search queries, the system efficiently identifies files meeting predefined criteria. The technology enhances document search capabilities in distributed systems. GlobalData’s report on Tanium 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 Tanium, P2P content caching was a key innovation area identified from patents. Tanium's grant share as of January 2024 was 93%. Grant share is based on the ratio of number of grants to total number of patents.
Method of searching machines for similar documents
A recently granted patent (Publication Number: US11886229B1) outlines a method for searching a collection of machines for documents similar to a target document. The method involves requesting samples of document frequency information from machines in the collection, generating a global dictionary from the received responses, and sending a similarity search query to machines in the collection. In response, query responses are received, identifying files that meet predefined similarity criteria with respect to the target document, along with a similarity score based on global document frequency values. The patent also includes provisions for performing decimation operations, throttling sampling responses, and producing merged reports from multiple machines in the collection.
Furthermore, the patent details the process of establishing direct duplex connections between machines for additional information exchange, maintaining inverse document indexes, and computing similarity metrics based on document frequency values. The similarity search query includes term frequency values for tokens in the target document, and the predefined similarity criteria include a threshold score for similarity metrics. Each machine in the collection is configured to store document frequency values, compute similarity metrics, and respond to queries based on the received similarity search query. The patent also covers the encryption of communication connections and the use of hashed token identifiers in the search query for efficient processing and retrieval of relevant information.
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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.
