VeriSign. has been granted a patent for a method that determines user-specific word boundaries in alphanumeric strings. The process involves analyzing character entry timing to segment the string into words, suggest alternate words, and propose domain names for user registration. GlobalData’s report on VeriSign 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 VeriSign, EMV tokenization was a key innovation area identified from patents. VeriSign's grant share as of June 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.
User-specific word boundary determination for alphanumeric strings
The patent US12047346B2 outlines a computer-implemented method for determining user-specific word boundaries within a string of alphanumeric characters. The process begins with the reception of a user-entered string and associated character entry data, which includes timing information for each character's entry and the intervals between them. The method calculates a third amount of time based on this data to identify potential word boundaries. By analyzing these time intervals, the system segments the string into a user-specific set of words and generates alternate words with similar meanings. The resulting suggested strings of words, which may include domain names, are then displayed to the user, facilitating the registration of selected domain names.
Further claims detail the mechanics of determining user-specific word boundaries, including the identification of character pairs with significant time gaps between their entries. The method employs various segmentation techniques, such as dictionary and linguistic segmentation, to refine the identification of word boundaries. Additionally, the patent describes a non-transitory computer-readable medium that contains instructions for executing this method, emphasizing its application in contexts like domain name registration. The approach aims to enhance user experience by providing personalized suggestions based on individual typing patterns 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.
