Kakao’s patent describes a method for a calendar service that identifies outlier time-series data, retrieves related non-time-series data, and displays both on a calendar page. The process involves user-selected data types, abnormality detection, and content retrieval through internet searches or web crawling. GlobalData’s report on Kakao 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 Kakao, Location-based IM was a key innovation area identified from patents. Kakao's grant share as of July 2024 was 51%. Grant share is based on the ratio of number of grants to total number of patents.
Calendar service for displaying outlier-related data
The patent US12073365B2 outlines a method for providing a calendar service that integrates time-series data with non-time-series data to enhance user experience. The process begins with a user selecting a type of time-series data from various options, which are associated with different event domains. The server then retrieves the corresponding time-series data and analyzes it to identify any outliers by detecting abnormalities. If an outlier is found, the system links relevant non-time-series data to this anomaly, registers it on the calendar, and communicates with the user terminal to display the updated calendar. This includes obtaining a date related to the abnormality and searching for content within the identified event domain through internet searches or web crawling.
Additionally, the patent describes methods for both the server and user terminal to manage and display this information effectively. The server determines whether the time-series data corresponds to an outlier based on user-selected criteria and statistical analysis. The user terminal receives this data and can display it in various formats, including push notifications and detailed views. The system also allows for the registration of both time-series and non-time-series data as event schedules on the calendar, ensuring that users can easily distinguish outlier data from regular entries. Overall, the patent presents a comprehensive approach to enhancing calendar services by leveraging time-series data analysis and integrating it with relevant event 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.
