Do You MIND? Reflections on the MIND Dataset for Research on Diversity in News Recommendations
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| Publication date | 2023 |
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| Book title | Advances in Bias and Fairness in Information Retrieval |
| Book subtitle | 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023 : revised selected papers |
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| ISBN (electronic) |
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| Series | Communications in Computer and Information Science |
| Event | 4th International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2023, held as part of the 45th European Conference on Information Retrieval, ECIR 2023 |
| Pages (from-to) | 147-154 |
| Number of pages | 8 |
| Publisher | Cham: Springer |
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| 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. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1007/978-3-031-37249-0_12 |
| Other links | https://www.scopus.com/pages/publications/85169031434 |
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