implicit feedback-based personalized systems
Implicit feedback-based personalized systems refer to computerized systems that use indirect or implicit information from users to personalize their experiences and recommendations. Instead of relying on explicit user preferences, such as ratings or reviews, these systems analyze behavioral data, such as browsing history, purchase behavior, or search queries, to understand users' preferences and provide tailored recommendations or customized content.
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