Freshworks. has been granted a patent for a method that extracts key-value attributes from unstructured data. The process involves parsing incidents, using a machine learning model for pairwise comparisons, and computing cosine similarity scores to identify and rank related incidents for effective management and resolution. GlobalData’s report on Freshworks 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 Freshworks, Location-based IM was a key innovation area identified from patents. Freshworks's grant share as of June 2024 was 60%. Grant share is based on the ratio of number of grants to total number of patents.
Extracting key-value attributes from unstructured data using ml
The granted patent US12001468B1 outlines a computer-implemented method and system for extracting key-value attributes from unstructured data, particularly in the context of incidents affecting information technology (IT) systems. The method involves receiving two incidents, each containing key-value attributes, and parsing these incidents to identify common attributes. A machine learning model then performs a pairwise comparison of these attributes, calculating cosine similarity scores to assess their relevance. The final score is generated by averaging these individual scores, allowing for the ranking of incidents. The top five related incidents are identified for effective management and resolution.
Additionally, the patent details the technical processes involved in computing cosine similarity, including the calculation of dot products and L2 norms for the vectors representing the key-value attributes. The system is designed to enhance incident management by leveraging machine learning to identify and resolve related issues efficiently. The claims also encompass a non-transitory computer-readable medium that contains a program configured to execute these methods, ensuring that the technology can be implemented in various computing environments. Overall, the patent presents a structured approach to improving IT incident resolution through advanced data analysis techniques.
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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.
