Zix’s patent involves systems and methods for dynamically defining features for machine learning models in classification systems, particularly in email classification. The method includes extracting feature sets from training content, generating unique training hashes, and classifying live content based on the identified features. GlobalData’s report on Zix 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 Zix, was a key innovation area identified from patents. Zix's grant share as of February 2024 was 72%. Grant share is based on the ratio of number of grants to total number of patents.
Dynamic feature definition for machine learning models in classification systems
A recently granted patent (Publication Number: US11887061B1) discloses a method for feature set extraction involving the parsing of training content, specifically training emails, to generate features and cross-tabulations. These features include various email addresses segmented into domain, local, and friendly segments, each assigned a unique training hash. The method further involves classifying the features and cross-tabulations, parsing live content based on these features, generating values for identified features in the live content, and ultimately classifying the live content based on the classification values obtained.
Additionally, the patent includes claims for a system and a computer programming product for feature extraction, both utilizing the unique training hashes to generate classification values for features. The system and programming product also involve parsing live content, identifying features, generating values and classification values for these features, and ultimately classifying the live content. Furthermore, the patent mentions the use of generated values and classification values to train a machine learning model, which is then employed to classify the live content, showcasing a comprehensive approach to feature extraction and content classification in the realm of email analysis.
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