One kind of feedback loop is the single-user feedback loop. This involves an algorithm built into the platform infrastructure that analyzes user activity, draws conclusions about the user’s interests, preferences, and needs, and recommends new value units and connections that the user is likely to find valuable. When it is adroitly designed and programmed, the single-user feedback loop can be a powerful tool for increasing activity, since the more the participant uses the platform, the more the platform “learns” about him and the more accurate its recommendations become.
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