Netflix tests human-driven curation with launch of ‘Collections’

Netflix tests human-driven curation with launch of ‘Collections’

5 years ago
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https://techcrunch.com/2019/08/23/netflix-tests-human-driven-curation-with-launch-of-collections/

Netflix is testing a new way to help users find TV shows and movies they’ll want to watch with the launch of a “Collections” feature, currently in testing on iOS devices. While Netflix today already offers thematic suggestions of things to watch, based on your Netflix viewing history, Collections aren’t only based on themes. According to Netflix, the titles are curated by experts on the company’s creative teams, and are organized into these collections based on similar factors — like genre, tone, storyline, and character traits.

This human-led curation is different from how Netflix typically makes its recommendations. The streaming service is famous for its advanced categorization system, where there are hundreds of niche categories that go beyond broad groupings like “Action,” “Drama,” “Sci-Fi,” “Romance,” and the like. These narrower subcategories allow the streamer to make more specific and targeted recommendations.

Netflix tests human-driven curation with launch of ‘Collections’

Aug 23, 2019, 6:30pm UTC
https://techcrunch.com/2019/08/23/netflix-tests-human-driven-curation-with-launch-of-collections/ > Netflix is testing a new way to help users find TV shows and movies they’ll want to watch with the launch of a “Collections” feature, currently in testing on iOS devices. While Netflix today already offers thematic suggestions of things to watch, based on your Netflix viewing history, Collections aren’t only based on themes. According to Netflix, the titles are curated by experts on the company’s creative teams, and are organized into these collections based on similar factors — like genre, tone, storyline, and character traits. > This human-led curation is different from how Netflix typically makes its recommendations. The streaming service is famous for its advanced categorization system, where there are hundreds of niche categories that go beyond broad groupings like “Action,” “Drama,” “Sci-Fi,” “Romance,” and the like. These narrower subcategories allow the streamer to make more specific and targeted recommendations.