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The problem now is that Netflix doesn't have a large catalog. So all their fancy ML and algorithms can only suggest the same handful of Netflix movies and shows
by dmitriid 5y ago
The problem now is that Netflix doesn't have a large catalog. So all their fancy ML and algorithms can only suggest the same handful of Netflix movies and shows on repeat. With a handful of 10-year old movies they could get licenses to thrown into the mix.
- Ntrails 5y agoThis is definitely my experience. When your recommendations for 3 genres have 3 of the same films in the initial set... it's indicative of either a small set of options or a really shitty recommendation system
- kif 5y agoIt aligns with my experience as well. I keep getting recommendations for shows I have already disliked. If it's due to a low number of options, and not due to their recommendation system, then surely they don't need such a complex recommendation system after all.
- dmitriid 5y agoThey used to have a large catalog. But then almost everyone pulled out to start competing services. So now it's 90% Netflix films/series, 7% old movies, 3% recent-ish movies.
- exdsq 5y agoYep! Hence why I imagine a review & like/dislike system wouldn't be an order of magnitude worse than their ML system but without having to pay millions in ML salaries, complicate the pipelines, and have a crazy number of microservices. I doubt the total business value for Netflix can truly be greater than the tech investment.