serendipity in recommender systems
Serendipity in recommender systems refers to the ability of the system to present unexpected and pleasantly surprising recommendations to users, surpassing their established preferences and introducing them to new and diverse content that they may not have discovered otherwise.
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Similar Concepts
- attention-based recommendation systems
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