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RECOMMENDATION SYSTEM AND USER INTERFACE DESIGN FOR EXPERIMENTAL FILM STREAMING SERVICE

Author

Term

4. term

Education

Publication year

2018

Submitted on

Pages

69

Abstract

Re:Voir er en distributør af eksperimentelle film, der planlægger en abonnementsbaseret streamingtjeneste. Dette projekt undersøger, hvad der kendetegner eksperimentelle film, og hvordan de kan samles i tydelige kategorier. Vi gennemgår den nyeste forskning i anbefalingssystemer (software, der foreslår titler til seere) og studerer førende tjenester som Netflix og YouTube. Med afsæt i disse indsigter foreslår vi en anbefalingsløsning skræddersyet til eksperimentel film og skitserer en praktisk implementeringsramme baseret på tidligere forskning, hvor generelle metoder tilpasses efter behov. Målet er at hjælpe Re:Voir med at bygge et anbefalingssystem, der matcher katalogets og publikums behov. Fordi Re:Voir betjener et nichemarked, anbefaler vi en bottom-up strategi: begynd enkelt, indsamle data effektivt og udbyg analysen gradvist. Afslutningsvis præsenterer vi et brugergrænsefladedesign baseret på aktuelle tendenser.

Re:Voir is an experimental film distributor planning a subscription streaming service. This project examines what defines experimental films and how to group them into clear categories. We review current research on recommender systems (software that suggests titles to viewers) and study leading services like Netflix and YouTube. Drawing on these insights, we propose a recommendation approach tailored to experimental film and outline a practical implementation framework based on prior research, adapting general methods where appropriate. The goal is to help Re:Voir build a recommender that matches the needs of its catalogue and audience. Because Re:Voir serves a niche market, we recommend a bottom-up strategy: start simple, gather data efficiently, and progressively deepen analysis. Finally, we present a user interface design informed by current trends.

[This abstract was generated with the help of AI]