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Mainstream platforms rely heavily on automated recommendation engines to guide user behavior. These algorithms analyze vast troves of data—past viewing history, search queries, watch time, and demographic profiles—to predict what a user might enjoy next. However, algorithmic curation possesses inherent structural limitations: