The In-Crowd algorithm, also referred to as the In-Crowd filter or In-Crowd voting, is a method often used in the context of social networks, recommendation systems, and collaborative filtering. Its main objective is to leverage the preferences or behaviors of a well-defined community or group (the "in-crowd") to make predictions or recommendations tailored to users who belong to or are influenced by that group.
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