Sitecore Corp has been granted a patent for a method that personalizes digital channels by autonomously clustering users into behavioral groups based on collected visit data. This approach utilizes a machine learning model to recommend content items, enhancing user experience and business outcomes on websites. GlobalData’s report on Sitecore Corp 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 Sitecore Corp, Dynamic premium pricing was a key innovation area identified from patents. Sitecore Corp's grant share as of June 2024 was 43%. Grant share is based on the ratio of number of grants to total number of patents.
Personalizing digital channels through user behavior clustering
The granted patent US12033184B2 outlines a computer-implemented method and system for personalizing a digital channel, specifically a business website, for multiple users. The method involves collecting detailed visitor information during each user's visit, which includes session data, user-item interactions, and outcome data that reflect the business value of each session. This information is used to autonomously cluster users into behavioral groups based on their interactions with the website's content. The clustering process maximizes mutual information between users and content items, allowing for the development of a machine learning model that predicts user interactions and recommends personalized content. The system is designed to update the model at defined intervals, ensuring that recommendations are based on the most current user behavior.
Additionally, the patent describes various components of the visitor information, including the content presented, user actions, and outcomes that contribute to business gains. The method employs advanced techniques such as regression analysis and Bayesian inference to enhance personalization. The clustering process is further refined through the generation of a user-item matrix, which helps in estimating the effectiveness of content for different user behaviors. The system can operate using single-threaded or multi-threaded approaches to optimize the clustering process, ensuring that each user is assigned to the most relevant behavioral group. Overall, this patent presents a comprehensive framework for enhancing user experience on digital platforms through data-driven personalization strategies.
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