Harry Potter effect

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Recommender systems that are biased towards generally popular items exhibit the so-called Harry Potter effect.

Almost everybody likes Harry Potter. While it is generally correct that users often like globally popular items, recommending them is usually not interesting.

To avoid the Harry Potter effect, items can be filtered or weighted down based on their global popularity.

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