With Best Recommendations. Basic Principles of Algorithmic Recommendation Systems for Public Service Media Offerings

In the 56th edition of the publication “Grimme-Preis”, PD 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.