neighborhood-based methods
Neighborhood-based methods refer to a class of algorithms or techniques that utilize similarities or relationships among items within a specific neighborhood to make predictions, recommendations, or perform other tasks. These methods focus on analyzing and leveraging the characteristics, attributes, or behaviors of objects or entities in close proximity or similarity to each other to infer patterns or make informed decisions.
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