This work explores how data imbalances affect recommendations and stakeholder experiences.
Recommender systems are key tools to push the consumption of items. Imbalances in the data distribution might affect the exposure given to providers, thus affecting their business and experience in the platform. In my work, I study the impact of data imbalances for the stakeholders, according to how recommendations are generated.
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Elizabeth Avery Gomez (2020) studied this question.
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