This invention describes a system for making websites show different content or features to individual users. It works by using a set of pre-defined rules to understand what a user is doing or who they are, and then adjusts the website experience based on those rules. These rules are stored, can be edited, and the system uses an event listener to react to user actions within the web application.
Why it matters: Filed before widespread adoption of machine learning for dynamic user profiling and rule generation. Modern systems can now infer and optimize personalization rules automatically from user behavior, rather than relying solely on manually defined XML rules.
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