Exploring potential biases towards blockbuster items in ranking-based recommendations

Author:

Yalcin EmreORCID

Funder

Cumhuriyet Üniversitesi

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference62 articles.

1. Abdollahpouri H (2020) Popularity bias in recommendation: A multi-stakeholder perspective. arXiv preprint arXiv:2008.08551

2. Abdollahpouri H, Mansoury M (2020) Multi-sided exposure bias in recommendation. arXiv preprint arXiv:2006.15772

3. Abdollahpouri H, Burke R, Mobasher B (2017) Controlling popularity bias in learning-to-rank recommendation. In: Proceedings of the 11th ACM Conference on Recommender Systems, pp 42–46, https://doi.org/10.1145/3109859.3109912

4. Abdollahpouri H, Burke R, Mobasher B (2018) Popularity-aware item weighting for long-tail recommendation. arXiv preprint arXiv:1802.05382

5. Abdollahpouri H, Burke R, Mobasher B (2019) Managing popularity bias in recommender systems with personalized re-ranking. arXiv preprint arXiv:1901.07555

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