Method and system for dynamic discovery and adaptive crawling of content from the internet

This invention describes a computer system that intelligently decides what online content to fetch or update. It works by continuously monitoring how users interact with content, how popular it is, and how frequently it changes. The system then uses these constantly updated insights, specifically user preferences derived from their actions, to determine which content needs to be refreshed or prioritized.

Why it matters: Since 2013, the widespread availability of scalable cloud computing and advanced machine learning techniques has made processing vast amounts of real-time user engagement data far more efficient. This allows for much more sophisticated and dynamic content adaptation than was practically feasible when the patent was filed.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedSoftware logic, data processing, user event tracking

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