Element 68Element 45Element 44Element 63Element 64Element 43Element 41Element 46Element 47Element 69Element 76Element 62Element 61Element 81Element 82Element 50Element 52Element 79Element 79Element 7Element 8Element 73Element 74Element 17Element 16Element 75Element 13Element 12Element 14Element 15Element 31Element 32Element 59Element 58Element 71Element 70Element 88Element 88Element 56Element 57Element 54Element 55Element 18Element 20Element 23Element 65Element 21Element 22iconsiconsElement 83iconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsiconsElement 84iconsiconsElement 36Element 35Element 1Element 27Element 28Element 30Element 29Element 24Element 25Element 2Element 1Element 66

Mit besten Empfehlungen. Grundprinzipien algorithmischer Empfehlungssysteme für öffentlich-rechtliche Medienangebote

Mit besten Empfehlungen. Grundprinzipien algorithmischer Empfehlungssysteme für öffentlich-rechtliche Medienangebote

In the 56th edition of the publication "Grimme-Preis", Dr. Jan-Hinrik Schmidt writes about algorithmic recommendation systems in public media and the issues involved.

To the publication (pdf)

Abstract
Algorithmic recommendation systems characterise our everyday use of the Internet. Be it Google or Amazon, Facebook or YouTube, Spotify or Netflix: they all combine innovative algorithms with comprehensive databases to filter information and content of all kinds and present it to us in tailor-made, mostly personalised recommendations, hit lists or streams. In this way, they provide orientation in the flood of information that has long since become unmanageable for the individual and thus shape the expectations that users also have of other offers and platforms - such as the public service media libraries.

Schmidt, J.-H. (2020): Mit besten Empfehlungen. Grundprinzipien algorithmischer Empfehlungssysteme für öffentlich-rechtliche Medienangebote [With Best Recommendations. Basic Principles of Algorithmic Recommendation Systems for Public Service Media Offerings]. In: Grimme No. 56, 2020. pp. 12-13.

Mit besten Empfehlungen. Grundprinzipien algorithmischer Empfehlungssysteme für öffentlich-rechtliche Medienangebote

In the 56th edition of the publication "Grimme-Preis", Dr. Jan-Hinrik Schmidt writes about algorithmic recommendation systems in public media and the issues involved.

To the publication (pdf)

Abstract
Algorithmic recommendation systems characterise our everyday use of the Internet. Be it Google or Amazon, Facebook or YouTube, Spotify or Netflix: they all combine innovative algorithms with comprehensive databases to filter information and content of all kinds and present it to us in tailor-made, mostly personalised recommendations, hit lists or streams. In this way, they provide orientation in the flood of information that has long since become unmanageable for the individual and thus shape the expectations that users also have of other offers and platforms - such as the public service media libraries.

Schmidt, J.-H. (2020): Mit besten Empfehlungen. Grundprinzipien algorithmischer Empfehlungssysteme für öffentlich-rechtliche Medienangebote [With Best Recommendations. Basic Principles of Algorithmic Recommendation Systems for Public Service Media Offerings]. In: Grimme No. 56, 2020. pp. 12-13.

About this publication

Year of publication

2020

RELATED KEYWORDS

Newsletter

Subscribe to our newsletter and receive the Institute's latest news via email.

SUBSCRIBE!