PayPal. has filed a patent for techniques involving retaining log entries in response to triggering events within a computer network. The system determines a trace signature to track processes, computes a log retention value based on weight factors, and retains the log entry in a log file based on the retention period. GlobalData’s report on PayPal 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 PayPal, Social commerce was a key innovation area identified from patents. PayPal's grant share as of January 2024 was 55%. Grant share is based on the ratio of number of grants to total number of patents.
Log retention based on triggering events within a computer network
The patent application (Publication Number: US20240037009A1) describes a method and system for managing log entries within a computer system using natural language programming (NLP) techniques. The method involves receiving a log entry, categorizing the information using an NLP pipeline, determining patterns associated with log entries based on usage data, generating a log retention value, and setting a retention period for storing the log entry. Additionally, the method includes determining a trace signature for the log entry, analyzing triggering events and subsequent processes, and using this information in the NLP pipeline.
Furthermore, the patent application details the use of a computer-readable medium with instructions for executing operations related to storing log entries, mapping them to topics, selecting retention maps, and setting retention periods. The medium also includes instructions for analyzing usage patterns of retained log entries, updating retention maps, and determining semantic log retention values. Additionally, a system is described that includes a processor and memory circuit to perform operations such as categorizing log entry information, selecting retention maps, generating log retention values, and setting retention periods based on the categorized information and retention maps. The system also involves determining trace signatures, mapping textual content to topics, and updating retention maps based on usage patterns.
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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.
