Mattias Frey Reihenfolge der Bücher

Focusing on curation-style video on demand services, this book examines MUBI, a leading independent platform that emphasizes human-generated recommendations over algorithms. It explores how MUBI addresses concerns about digital content consumption, promoting quality and discovery amidst a cultural surplus. Utilizing a comprehensive methodology, including interviews and audience studies, the analysis sheds light on MUBI's role in content aggregation and community building. The work serves as a case study for understanding the impact of major tech companies on art cinema and media diversity.

Introduction -- Why we need film and series suggestions -- How algorithmic recommender systems work -- Cracking the code, part I : developing Netflix's recommendation algorithms -- Cracking the code, part II : unpacking Netflix's myth of big data -- How real people choose films and series -- Afterword : robot critics vs. human experts -- Appendix : designing the empirical audience study.