Quantification of the Impact of Popularity Bias in Multi-stakeholder and Time-Aware Environments-Reference-Cited by-同舟云学术

Quantification of the Impact of Popularity Bias in Multi-stakeholder and Time-Aware Environments

Published:2021 Issue: Volume: Page:78-91
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Guíñez Francisco^ORCID,Ruiz Javier^ORCID,Sánchez María Ignacia^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-78818-6_8

Reference37 articles.

1. Abdollahpouri, H.: Popularity bias in recommendation: a multi-stakeholder perspective. Ph.D. thesis (2020). https://doi.org/10.13140/RG.2.2.18789.63202

2. Abdollahpouri, H., et al.: Multistakeholder recommendation: survey and research directions. User Model. User-Adap. Inter. 30(1), 127–158 (2020)

3. Abdollahpouri, H., Mansoury, M., Burke, R., Mobasher, B.: The impact of popularity bias on fairness and calibration in recommendation. arXiv e-prints arXiv:1910.05755 (2019)

4. Abdollahpouri, H., Mansoury, M., Burke, R., Mobasher, B.: The unfairness of popularity bias in recommendation, August 2019

5. Adomavicius, G., Tuzhilin, A.: Context-aware recommender systems. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 217–253. Springer, Boston, MA (2011). https://doi.org/10.1007/978-0-387-85820-3_7

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