More likely is that Netflix realized most people, including myself, aren't on Netflix to consume text content.
In fact, the text is more likely to spoil the show. "A space freighter has to take refuge on a desolate planet. Little does its crew know that their temporary shelter is infested with horrific parasites. But you do!"
I might as well be picking my next viewing from a selection of pictures and illustrations.
I find this list fascinating, because it seems counterintuitive. I expected to find generally lower illiteracy in countries with simpler/fewer languages, but Romance languages (Italian, Spanish) top the list, while countries with multiple official languages (Switzerland, Canada) are in the middle, and at the bottom are countries with multiple languages and which are generally thought to be difficult to learn (Danish, Finnish). That seems almost backwards.
What I get from this is that when it comes to success in language learning, technical difficulty is mere rounding error compared to other factors.
It seems somewhat counter-intuitive to go to an on-demand video delivery service and want to see a lot of text though, no? People didn't go to Blockbuster to go read a description of the movie on white note card. I see this mentality a lot on HN and it seems like there's a large population of "get off my lawn" techies who only want the WWW to be text and nothing else, ever. Not trying to criticize your opinion, which I know I probably am, but I just find that is a very vocal and common trend on here. Maybe me having grown up mostly with Web 2.0 and on I just have a different set of expectations of what the WWW can provide me.
Bear in mind that in 1999 they could not have done a modern-looking website even if their designers had crystal balls and could see what the web would evolve into. The browsers did not support the fonts and styling, and most people were on dial-up so anything image-heavy would have been unusable.
The article lists that hand curated selections have been replaced by algorithmic recommendations, pointers to DVD sales on Amazon are gone, columns are gone. None of these things sound like a plus to me. Especially given how their algorithms seem to optimize for something (me spending time searching? watching particular movies that clearly aren't a match but Netflix has done incentive for me to watch? No clue) that's not me easily finding the best matching movie. Their interface at least on PS4 also makes it annoying to just read a description of a movie without anything starting to play. Their ratings seem all inflated and useless. I have to go to IMDb or rotten tomatoes to get useful ratings. The best interface for Netflix I've ever had was a Ruby script that used their API to give me a list of movies ranked by their prediction of how much I'd like them. The startling thing was that when that still worked their own interface showed me movies they predicted I'd dislike and didn't show me movies that they thought I'd love. Since the API is gone I can't confirm this anymore but it certainly feels like it.
Edit: way back they even used to have a page that was in essence a table of movies that was sortable by rating. That was so useful. Unimaginable today!
Edit 2: I'd love it if someone knew and could explain what the Netflix UI is actually optimizing for. I can't believe that it's that they cannot do better. Are they trying to hide lack of content? Are there different money implications of I watch movie A instead of movie B?
I think it's lack of content. Or lack of good content more specifically. From my perception about 20% of the titles on Netflix are in any way worth watching. The other 80% are just there taking up space in the listings to make it look like I have a lot of choices. I rarely watch anything on Netflix anymore because I feel like I've watched what's worth watching. I check it occasionally to see if there's something new, but I mostly keep the subscription because it's a family deal and others in the household still find some value in it.
The quality of Netflix's recommendation engine went downhill quickly after their move away from the 1-5 star rating system last March. I put a lot of time into picking the right values for each of the movies I watched and was constantly amazed and how good its recommendations were.
I personally liked star ratings more, but can see why they'd make the switch. Average star rating is basically a 1 dimensional model, but now what they're doing is communicating a prediction: how much will so-and-so enjoy this show.
A show can still have a lower match for all people (similar to having fewer stars). But I think I still like the (assumed) transparency of stars better.
I don't think their recommendation engine is working any less well; they've just made a higher-level strategic change in what it's trying to recommend.
Netflix used to want to give people the "perfect movie for them", expecting that eventually they would run out of perfect movies, and move onto just "pretty well-fit movies", and then run out of those too, and probably unsubscribe at that point.
Nowadays, Netflix seem to want to keep people subscribing by making them feel like they have a chance of finding the "perfect movie for them", but only after Netflix has recommended a bunch of those "pretty well-fit" and even some "not-so-well-fit" movies. This is "better" (from Netflix's perspective) for two reasons:
1. it gives people the impression that Netflix's library still has plenty of "perfect" movies to offer them (by stretching them out);
2. it gives variable-scheduled rewards, rather than constant rewards, making people more addicted.
I'm betting the new algorithm works much better at keeping people subscribed, despite seeming to work worse. Netflix is a very data-driven company, and wouldn't have switched to an algorithm that could be observed to hurt.
I think that can backfire. For a while, my "Top Pick For You" was the Emoji Movie. That just makes me assume that I've ran out of good (or even mediocre) things to watch on Netflix.
i think a simpler explanation is that they believe binge-watching long shows leads to better retention (they’ve said this) and as a result changed their algorithm to prioritize items which people keep watching, not items which people will rate highly.
Netflix basically wants to be a black box where people enter and are entertained for two hours a day forever. mind-expanding or emotionally affecting movies don’t really do that.
I have to second this. I used to watch some really "mindfucked" movies on Netflix. I think I watched The Cube, The Zero Theorem, and Brazil, partly because Netflix had recommended them to me. Now? Those movies don't even show up in the entire recommendation list. In fact, most of what shows up is series I know I won't like. I still subscribe but it's a letdown how the recommendation system incentives have changed.
1-5 star rating system works out when you have a lot of data; and don't work out at all when you have poor ones.
Now, that rating only makes sense given the clustered group of people with similar taste. It's also adds complexity of the clustering said group.
Furthermore, I think people generally are not always the best critic. I totally can picture people being precise in their rating getting the most of the the recommendation engine, and the sloppy getting poor recommendations.
In that case, I can't blame Netflix for wanting to trim down the complexity for making it easier for the audience and themselves.
Alt right people were giving Amy Schumer's standup 1 star. I remember watching it thinking it was good, not amazing, but certainly not 1 start standup compared to most of the filth out there.
Not just “alt-right” people. Quite a lot of groups have expressed their dislike lately. Personally, I find her incredibly bland, and I can’t say for sure that I didn’t leave one star for The Leather Special.
Do they need a manual rating now with so many subscribers? If lots of people give up watching something after 15 minutes then it could be considered "not very good", and if people watch something multiple times then it could be "very good". Yes there are holes (people may give up on something good because they don't like the genre) but in general?
I still really like Netflix, but the increased force-feeding of their own content doesn't excite me about the future. I would switch to a competing service if it offered a wider selection of movies, but without any Netflix content. If I found a streaming service that had nearly every movie ever produced, I would pay a much larger subscription fee.
As an outsider looking in i can't help wonder if it lost something on the way.
The impression i had of Netflix from back when was that it had all this weird and wacky stuff reaching back to the straight-to-VHS rental era.
This because at that time the big studios allowed Netflix to digitize a crapload of their back catalog for a song, because they didn't have the first clue if anyone would have any interest in it at all.
But in recent years the studios have learned, and wants to cut out the middleman. Thus Netflix has moved on to producing their own stuff, while what used to be on Netflix may be on any number of studio services (if said services ever get off the ground, thanks to their paralyzing fear of pirates).
For the time being, I still use netflix, amazon, and hulu streaming services. If you've ever used the apps for any of those services on roku, apple tv, or a smart tv, you're likely frustrated by how difficult it is to find something relevant to watch. I often think, "Who thought this UI was good?" That thought leads to, "What if the interface is purposely bad?" and "Why doesn't Hulu want me to find anything to watch?"
I don't know how licensing works with these streaming services. I'm beginning to think that because these companies license content from third parties, they have an incentive to discourage people from watching anything. Maybe if you don't watch, then they pay less in licensing fees. The ideal profit scenario is for you to subscribe to Netflix's service, but not consume any content. If you pay Netflix, but never watch anything, they don't have to expend the costs to deliver content to you (licensing and bandwidth). This gives Netflix an incentive to create algorithms that obfuscate content rather than a smart algorithm that suggests relevant content.
Does anyone else get this feeling? Does anyone know if licensing agreements are set up on a pay-per-play basis between studios and netflix?
"Its recommendations, now powered by algorithms, were curated by staffers then. Collections of movies grouped by common themes included Complicated Couples, Serious Spy Action, High-Tech Horrors, and Bad People, Great Movies—precursors to the remarkably specific personalized rows of categories now featured on Netflix. "
I for one pine for the days where I could find an individual with similar sensibilities - or better yet NEW sensibilities that I did not know shared, and follow their curation...rather than having some engineered algorithm suggest music and movies to me.
Thankfully there are many wonderful radio stations and bloggers who still exist. I find SV has done a terrible job replacing them and for that I am grateful.
Netflix recommendations are so bad they are downright comical and make me laugh every day. I can't believe their developers get paid 300K+. For that kind of salary and the work they put out, they have got to be the world's most unproductive employees.
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[ 49.7 ms ] story [ 1413 ms ] threadFor the public at large? https://en.wikipedia.org/wiki/Functional_illiteracy#Prevalen...
In fact, the text is more likely to spoil the show. "A space freighter has to take refuge on a desolate planet. Little does its crew know that their temporary shelter is infested with horrific parasites. But you do!"
I might as well be picking my next viewing from a selection of pictures and illustrations.
It's just television.
What I get from this is that when it comes to success in language learning, technical difficulty is mere rounding error compared to other factors.
Edit: way back they even used to have a page that was in essence a table of movies that was sortable by rating. That was so useful. Unimaginable today!
Edit 2: I'd love it if someone knew and could explain what the Netflix UI is actually optimizing for. I can't believe that it's that they cannot do better. Are they trying to hide lack of content? Are there different money implications of I watch movie A instead of movie B?
It is almost impossible to find the foreign movies I care about.
Sometimes I find them by language, other times by the name, and worse just scrolling hoping that they get suggested again to me.
Still a happy subscriber, just a little less so.
A show can still have a lower match for all people (similar to having fewer stars). But I think I still like the (assumed) transparency of stars better.
Netflix used to want to give people the "perfect movie for them", expecting that eventually they would run out of perfect movies, and move onto just "pretty well-fit movies", and then run out of those too, and probably unsubscribe at that point.
Nowadays, Netflix seem to want to keep people subscribing by making them feel like they have a chance of finding the "perfect movie for them", but only after Netflix has recommended a bunch of those "pretty well-fit" and even some "not-so-well-fit" movies. This is "better" (from Netflix's perspective) for two reasons:
1. it gives people the impression that Netflix's library still has plenty of "perfect" movies to offer them (by stretching them out);
2. it gives variable-scheduled rewards, rather than constant rewards, making people more addicted.
I'm betting the new algorithm works much better at keeping people subscribed, despite seeming to work worse. Netflix is a very data-driven company, and wouldn't have switched to an algorithm that could be observed to hurt.
Netflix basically wants to be a black box where people enter and are entertained for two hours a day forever. mind-expanding or emotionally affecting movies don’t really do that.
Now, that rating only makes sense given the clustered group of people with similar taste. It's also adds complexity of the clustering said group.
Furthermore, I think people generally are not always the best critic. I totally can picture people being precise in their rating getting the most of the the recommendation engine, and the sloppy getting poor recommendations.
In that case, I can't blame Netflix for wanting to trim down the complexity for making it easier for the audience and themselves.
Alt right people were giving Amy Schumer's standup 1 star. I remember watching it thinking it was good, not amazing, but certainly not 1 start standup compared to most of the filth out there.
The impression i had of Netflix from back when was that it had all this weird and wacky stuff reaching back to the straight-to-VHS rental era.
This because at that time the big studios allowed Netflix to digitize a crapload of their back catalog for a song, because they didn't have the first clue if anyone would have any interest in it at all.
But in recent years the studios have learned, and wants to cut out the middleman. Thus Netflix has moved on to producing their own stuff, while what used to be on Netflix may be on any number of studio services (if said services ever get off the ground, thanks to their paralyzing fear of pirates).
I don't know how licensing works with these streaming services. I'm beginning to think that because these companies license content from third parties, they have an incentive to discourage people from watching anything. Maybe if you don't watch, then they pay less in licensing fees. The ideal profit scenario is for you to subscribe to Netflix's service, but not consume any content. If you pay Netflix, but never watch anything, they don't have to expend the costs to deliver content to you (licensing and bandwidth). This gives Netflix an incentive to create algorithms that obfuscate content rather than a smart algorithm that suggests relevant content.
Does anyone else get this feeling? Does anyone know if licensing agreements are set up on a pay-per-play basis between studios and netflix?
I for one pine for the days where I could find an individual with similar sensibilities - or better yet NEW sensibilities that I did not know shared, and follow their curation...rather than having some engineered algorithm suggest music and movies to me.
Thankfully there are many wonderful radio stations and bloggers who still exist. I find SV has done a terrible job replacing them and for that I am grateful.