Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship

Author:

Ferraro Andres1,Ferreira Gustavo1,Diaz Fernando2,Born Georgina3

Affiliation:

1. McGill University, Canada

2. Google, Canada and Canadian CIFAR AI Chair, Canada

3. University College London, United Kingdom

Funder

European Research Council

CIFAR

Publisher

ACM

Reference44 articles.

1. Algorithmic Effects on the Diversity of Consumption on Spotify

2. Public service media utilities: Rethinking search engines and social networking as public goods;Andrejevic Mark;Media International Australia,2013

3. Georgina Born . 2006. Digitising Democracy . In What can be done?: making the media and politics better, John Lloyd and Jean Seaton (Eds.). Oxford : Blackwell , 102–23. Georgina Born. 2006. Digitising Democracy. In What can be done?: making the media and politics better, John Lloyd and Jean Seaton (Eds.). Oxford: Blackwell, 102–23.

4. Georgina Born. 2018. Principles of Public Service for the 21st Century. In A Future for Public Service Television Des Freedman and Vana Goblot (Eds.). [The MIT Press]. https://doi.org/10.7551/mitpress/9781906897710.003.0015 Georgina Born. 2018. Principles of Public Service for the 21st Century. In A Future for Public Service Television Des Freedman and Vana Goblot (Eds.). [The MIT Press]. https://doi.org/10.7551/mitpress/9781906897710.003.0015

5. Georgina Born. 2018. Taking the Principles of Public Service Media into the Digital Ecology. In A Future for Public Service Television Des Freedman and Vana Goblot (Eds.). [The MIT Press] 181–190. https://doi.org/10.7551/mitpress/9781906897710.003.0025 Georgina Born. 2018. Taking the Principles of Public Service Media into the Digital Ecology. In A Future for Public Service Television Des Freedman and Vana Goblot (Eds.). [The MIT Press] 181–190. https://doi.org/10.7551/mitpress/9781906897710.003.0025

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1. Measuring Commonality in Recommendation of Cultural Content to Strengthen Cultural Citizenship;ACM Transactions on Recommender Systems;2024-03-07

2. Hot topics of quantitative-empirical research related to digitalization in cultural education: a mapping review;Zeitschrift für Erziehungswissenschaft;2023-12-04

3. MuRS: Music Recommender Systems Workshop;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

4. Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms;Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization;2023-06-18

5. On Capturing Functional Style of Texts with Part-of-speech Trigrams;Communications in Computer and Information Science;2023

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