User-centered Investigation of Popularity Bias in Recommender Systems

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Recommendation and ranking systems are known to suffer from popularity bias; the tendency of the algorithm to favor a few popular items while under-representing the majority of other items. Prior research has examined various approaches for mitigating popularity bias and enhancing the recommendation of long-tail, less popular, items.

When

6. May.

Time: 14:15 - 15:00


What

Where

Online

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Organizer

UiB