comScore. has been granted a patent for a method that analyzes content output sessions to identify outlier sessions and devices. The process involves classifying devices based on their association with outlier sessions and adjusting the total duration of these sessions based on predefined thresholds. GlobalData’s report on comScore 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 comScore, Dynamic premium pricing was a key innovation area identified from patents. comScore's grant share as of June 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.
Method for identifying and adjusting outlier content sessions
The patent US12047463B2 outlines a method for analyzing content output sessions over a specified time period. The process begins with the reception of data that includes identifiers for content and devices, as well as the duration of each session. The method identifies outlier sessions from the data, which are defined based on their duration exceeding a predetermined threshold. Following this, the method classifies devices as either outlier or inlier devices based on the frequency of their association with these outlier sessions. This classification is determined through a ratio of days associated with outlier sessions to the total active days for each device. The method further refines the analysis by focusing on a second subset of sessions linked to outlier devices and comparing their durations against a threshold associated with a longer second time period.
In addition to the classification and comparison steps, the method includes provisions for adjusting the total duration of the content output sessions in the second subset. This adjustment is based on identifying sessions that exceed the duration threshold and calculating the total excess time. The patent also specifies that the content identifiers can include various types such as channel or application identifiers, and that the data can be sourced from multiple applications. The method employs algorithms, such as gradient descent or time decay, for the classification of devices, enhancing the analytical capabilities of the system. Overall, this patent presents a structured approach to managing and analyzing content output data, with implications for optimizing content delivery and user engagement.
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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.
