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Do you MIND? Reflections on the MIND dataset for research on diversity in news recommendations
April 17, 2023 Β· Declared Dead Β· π International Workshop on Algorithmic Bias in Search and Recommendation
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Authors
Sanne Vrijenhoek
arXiv ID
2304.08253
Category
cs.IR: Information Retrieval
Citations
8
Venue
International Workshop on Algorithmic Bias in Search and Recommendation
Last Checked
4 months ago
Abstract
The MIND dataset is at the moment of writing the most extensive dataset available for the research and development of news recommender systems. This work analyzes the suitability of the dataset for research on diverse news recommendations. On the one hand we analyze the effect the different steps in the recommendation pipeline have on the distribution of article categories, and on the other hand we check whether the supplied data would be sufficient for more sophisticated diversity analysis. We conclude that while MIND is a great step forward, there is still a lot of room for improvement.
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