Quality Metrics in Recommender Systems: Do We Calculate Metrics Consistently?-Reference-Cited by-同舟云学术

Quality Metrics in Recommender Systems: Do We Calculate Metrics Consistently?

Published:2021-09-13 Issue: Volume: Page:
ISSN:
Container-title:Fifteenth ACM Conference on Recommender Systems
language:
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Author:

Tamm Yan-Martin¹,Damdinov Rinchin¹,Vasilev Alexey¹

Affiliation:

1. Sber AI Lab, Russian Federation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3460231.3478848

Reference44 articles.

1. Vito Walter Anelli Alejandro Bellogín Antonio Ferrara Daniele Malitesta Felice Antonio Merra Claudio Pomo Francesco Maria Donini and Tommaso Di Noia. 2021. Elliot: a comprehensive and rigorous framework for reproducible recommender systems evaluation. arXiv preprint arXiv:2103.02590(2021). Vito Walter Anelli Alejandro Bellogín Antonio Ferrara Daniele Malitesta Felice Antonio Merra Claudio Pomo Francesco Maria Donini and Tommaso Di Noia. 2021. Elliot: a comprehensive and rigorous framework for reproducible recommender systems evaluation. arXiv preprint arXiv:2103.02590(2021).

2. Rocío Cañamares Pablo Castells and Alistair Moffat. 2020. Offline evaluation options for recommender systems. Information Retrieval Journal(2020) 1–24. Rocío Cañamares Pablo Castells and Alistair Moffat. 2020. Offline evaluation options for recommender systems. Information Retrieval Journal(2020) 1–24.

3. Debiased offline evaluation of recommender systems

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