How can we build an alternative recommendation algorithm to the dominant GAFAM models?
Type de matériel :
TexteLangue : français Détails de publication : 2022.
Ressources en ligne : Abrégé : Finding one’s way through the mass of films legally available online is now a major cultural and commercial issue. To capture the attention of their audiences, the major online players have invested considerable resources in designing recommendation algorithms that are supposed to help users with their viewing choices. As an alternative to the dominant GAFAM models, the documentary film platform Tënk is experimenting with a new and ethical algorithm that promotes the variety of works and is in line with cinephile practices.
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Finding one’s way through the mass of films legally available online is now a major cultural and commercial issue. To capture the attention of their audiences, the major online players have invested considerable resources in designing recommendation algorithms that are supposed to help users with their viewing choices. As an alternative to the dominant GAFAM models, the documentary film platform Tënk is experimenting with a new and ethical algorithm that promotes the variety of works and is in line with cinephile practices.
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