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by koonsolo 1813 days ago
I don't get why they wanted to go all out on AI for this. I use Netflix, and a simple algorithm would already be an improvement:

- If I watched a movie and gave it a thumbs down, don't recommend it

- If I watched a movie < 1 month ago, don't recommend it

- If I browsed over a movie 50 times, read the info, and still didn't play it, stop recommending it.

- If I watched the last episode, remove the "new episodes" banner.

WTF

21 comments

Completely agree. I am constantly baffled at the bullshit Netflix suggests me.

I just went to the frontpage of my Netflix and...:

- "My list" recommends 3 series where I have alread watched the last episode

- "Only on Netflix" recommends another two series, I have already wathed.

- A section displayed is "Watch together for older kids" - I dont have kids, never watched any kids stuff on my account.

- "Documentaries" contains six suggestions, 3 of which I have already watched on netflix".

- I am suggested several shows, which are good - but I have already watched outside Netflix earlier - and there is no way to tell Netflix (none that I know of, anyway)

9 out of 10 times when I go to Netflix, I intend to continue watching a series - but Netflix makes me scroll past SEVEN sections of recommendations to get to "Continue watching.." before showing me the series I have watched 1-2 episodes of most days for the past two weeks.

Maybe they are just too busy making sure all new series are woke-i-fied to care about how this simple stuff works?

"My list" is not algorithmically generated; it's a list of shows you have chosen to add to it. It would be nice if have you the option to remove a show from it when you finished it but very annoying if it did it automatically behind your back. Although clearly the real problem here is that "my list" isn't a clear enough description to show you manually control it (but I don't have a better suggestion).
Although clearly the real problem here is that "my list" isn't a clear enough description to show you manually control it (but I don't have a better suggestion).

That's the hard part about designing software for anyone - there is no average user & you can't really make assumptions about their understanding of your system. After all, I think the intention of "My list" is clear and fairly obvious, so that makes 3 people with 3 different ideas about the feature.

Shows need to stay in "my list" in case there's another season later.
>- "Only on Netflix" recommends another two series, I have already wathed.

I think the only on Netflix part works as part of positive reinforcement - it always shows me stuff it knows I watched all the way through (hence I must have liked it) mixed with things I haven't watched or haven't watched in a long time.

Thus when I see that section it is reminding me they have stuff I liked that I can only get there so please don't ever change account, and here is some more of that stuff only we got - try it out!

I always took the "older kids" thing to mean "adults interested in cartoons" rather than "teenagers".
Related: Has anyone figured out how they determine the trending section?

It seems some shows have been trending for years.

Probably a mix of what people are watching and what netflix wants you to watch. The netflix originals are undoubtedly pushed up the trending list.
> Maybe they are just too busy making sure all new series are woke-i-fied to care about how this simple stuff works?

Or maybe it's not as simple as you think? "Baffled" is a strong word. It's the same "baffled" that Amazon can't find all the fake reviews. The same "baffled" that Facebook can't delete all your photos, everywhere, when you close an account.

Maybe things at scale are more challenging? These are some of the most valuable companies in the world. I'm sure they're happy to throw buckets of money at you if you can solve these "simple" problems for them.

The Netflix catalogue, and the movie rental/streaming ecosystem in general, was completely different when the AI challenge was going on. It was a DVD postal service. Your ratings mattered, and almost any movie you wanted was available. No one was bored scrolling Netflix trying to decide how to kill two hours before bed.

They are clearly not using the ratings based automatic recommendations any more. It's not even relevant given the limited and generally low-quality content available. It's just about keeping enough people paying.

The current "Netflix Optimization Problem" is how to spend the minimum amount on content but still keep you subscribing.

The Netflix prize also put Netflix on the map in terms of being a company that solves hard problems. We are still talking about it today and you'd better believe it has inspired talented people to work at Netflix; they could easily blow $1M on recruiting people and have much less to show for it. It's why Netflix is part of "FAANG".

Reed Hastings genius is that he led Netflix through a number of transitions between fundamentally different businesses: he built a strong brand with the DVD-based business without permission from the studios, transferred that brand to streaming when the studios saw it as "free money". By the time the studios understood what it was worth Netflix decided it was cheaper to buy than rent. (just as a consequence of having more customers)

The new frontier is that they use your engagement data not just to "suggest" the next movie but to design movies that will keep you engaged.

It's a little bit scary with these services that are "all you can eat" games for $10 a month because you're giving up "voting with your dollar" but creating a trail of engagement that will be fed back into satisfying your narcissism. Taking screenshots and videos of games seems fun and harmless at first but somebody knows I had a big crush on Nikola and Chiara from Valkyria Chronicles 4.

> The new frontier is that they use your engagement data not just to "suggest" the next movie but to design movies that will keep you engaged.

Personally, the opposite has been happening in my recommendations. I've been switching over to Netflix less and less as its library thins, and the replacements seem not as compelling... can't even remember the last time I watched a full movie or TV show season on Netflix.

Guess I'm not the target demographic :( but it's not like I personally pay 'the Netflix bill' anyway.

Toddlers seems to enjoy the procedurally generated content though; maybe they're mistaking toddlers randomly bashing their screen for audience engagement?

"Appealing to narcissism" is dead easy on one level (avoids all sorts of problems that you could encounter with people otherwise), and very hard on another level.

If you are always "present" and engaged then the target is going to do most of the work themselves. If "the lights are on and nobody is home" when you try to take a step forward, you really take 10 steps back.

>They are clearly not using the ratings based automatic recommendations any more. It's not even relevant given the limited and generally low-quality content available. It's just about keeping enough people paying.

For those of us old enough to remember, it's not much different than going to Blockbuster. All of the new releases were along the walls with lots of copies to support the high demand. That's where everyone started when entering the store. If you found what you wanted, you grabbed a copy and left. In the middle of the store, the shelves were full of stuff you'd never heard of with one, maybe two, copies available. Both of those copies were covered in dust. You'd see people doing the physical version of endlessly scrolling to ultimately settle on "something" just to not be scrolling any more.

Really, the only difference now is at least you don't have drive somewhere to do the scrolling. I'd also say that there's at least the advantage of being able to do it in your PJs, but Blockbuster (any video rental place really) was the first public place that I noticed it became acceptable to not have to get dressed to visit.

The difference now is that, for 2 or 3 dollars, you can individually rent and stream most movies instantly. No need to pay a subscription that requires you to scroll through a small low-quality subset on a irritating interface.
Speaking specifically of the US market (I don't know where you are), the list of available titles for transactional rental at any time is a tiny subset of all movies that exist on digital due to windowing (licensing) restrictions. By far, most movies are not available for rental.
It's true. But most movies that people actually want to see, are.

I worked in a video store, back when there were such things, and can attest that the vast majority of people wanted the new thing and ignored the back catalog. It was my job to get them interested in the back catalog. I didn't do very well.

I joined Netflix because they had that back catalog available. But now that I'm old and grumpy, I've seen most of what I want to see in that back catalog, too. There's a ton of stuff in that category of "I'm sure it's great but I just don't want to work that hard". Also... most of that back catalog is crap, just under Sturgeon's Law.

Sadly, Netflix has figured that out, and gotten rid of most of its back catalog of DVDs. I hope the real film buffs have some other place to go get it.

That's fair. Maybe an order of magnitude difference between what's available on say Netflix streaming and what's available for individual rental, and maybe another order of magnitude for all movies? There sure are a lot of movies. I'm not sure where the Netflix DVD rental falls, especially if you account for movies that are technically available but with so few copies that it may take months to actually come to you.
> The Netflix catalogue, and the movie rental/streaming ecosystem in general, was completely different when the AI challenge was going on.

With Netflix producing its own content now, and with the cost of acquiring content rights much higher than it used to be (all major streaming platforms want to offer great content), I'm wondering how much the business imperative impacts the recommendations we get -> eg. Netflix giving priority to its own content over licensed shows/movies.

I suspect their algorithm is stuck in a local minimum, where it has proven to itself that, if a movie is presented to you hundreds of time, there will be a moment where you click, either inadvertently or because there is nothing else presented to you, and it counts as a validation of their engine. It is so optimized for this that it doesn’t try just presenting all movies anymore - which is a recurrent problem in A/B testing in general.

Yes, Netflix’ engine is the reason I left Netflix…

> Yes, Netflix’ engine is the reason I left Netflix

That seems rather odd to me. I can believe it was a final straw after other reasons like running out of content you particularly want (absolutely or in comparison with other services), but not it begin "the" reason.

I don't particularly pay attention to the recommendations on either Netflix or Amazon, instead picking up things I might like to try from external sources (friends & family, discussions or records in various media, having liked something or some part of it looking into what else the performers/writers/directors/other have done it are involved in now, sometimes the does own external advertising).

I feel that the recommendation systems are more optimised for people who use TV/movies as background noise rather than actively watching. That would explain re-recommending long running series that they have already watched, amongst other things people have mentioned in this discussion.

Maybe my behaviour is a vestige from the life of piracy back when content was less readily available otherwise (somehow region locked, or simply not available on local channels yet, etc, so I often couldn't get things I cared about more legitimately for many months, if ever, and back in the scheduled TV days things were often in at inconvenient times). I seek out what I want rather than waiting for it to be handed to me by the service(s).

I cancelled Netflix subscription because I was not finding anything worth watching.

I tried downvoting unwanted featured movies, they continued to be featured.

Once my listing was filled solely with already watched or downvoted movies I cancelled account.

I suspect that Netflix had some movies that I would gladly watch, but if they show what I explicitly marked as invented...

They need to buy better old movies.

Their catalogue of award winning, or good movies is very low.

I think the problem is the studios figured why rent them to Netflix when we can put up our own OnDemand service?

So, Netflix was at a conundrum, "How do we get material so people won't leave, and we can raise our prices?"

Overpaid Netflix MBA, "I got it! Let's throw money at directors, and writers. The directors will make make our movies because we pay well. The writers will churn out cliched filled scripts, and put every plot twist into everything they write. The average viewer isn't here to watch quality, we will give them a huge bat of lousy material. It will be like feeding the hogs with slop?"

Amazon Prime video seems to have a better library for those that appreciate good movies.

I did like The Twillight Zone, and Star Trek, when I had Netflix though.

(Years ago Netflix offered every episode of the Zone, and Trek. I got every silgle episode through the mail, and copied to dvd using---dvd something? They come in handy if xfinity goes out.

Oh yea, Xfinity was charging a family member $260 a month. I painfully got. down to 130 a month. She was loosing $1390 a year for probally a decade--with pretty much the same plan.

Xfinity should be broken up, or better regulated by authorities. I literally gave up trying to rectify the situation talking to three people who could barely speak english. The last Ecuadorean guy's english was so bad, I gave up, and just picked the cheapest plan on Comcast, and prayed the bill would go down.

A Xfinity employee told me the current business plan is just "milk" long term customers with confusing bills, and deals. They don't care about cord cutters. They know they will always have a large percent of people who will just pay because their isn't a real option in their county, and many older people are not computer savvy.

Hell I'm computer savvy, but their application interface is purposely confusing. I could sware they are randomenly switching prices over the phone, and through their application. I hope someone outs them if my hunch is right.

> They need to buy better old movies.

I believe it's much more in their interest to buy old TV shows. A good movie will keep you occupied for what, two hours? Seinfeld: almost 19 days of watch time. Friends: over 5 days. Community was barely ever popular before Netflix bought it, now there's plenty of people that enjoyed it for 2 days and 7 hours of watch time (its subreddit went from 266k on April 2020 to 482k right now).

I believe it's also in their interest to spread out stories that are realistically one-movie-long into 5-6 slightly drawn out 40-50 min episodes.

I just wish they fucking stick to them instead of cancelling them after like two seasons. Orange Is The New Black is the only original of theirs I know of that goes above two days of airtime.

I watch good movies many times. I keep them on a loop while studying, or working. In college, I always had an Oliver Stone film on. At the time the duality between good, and evil, was always on my mind.

I must have watched Wall Street, and Platoon, a few hundred times.

I won't even estimate how many times I have watched Hictchcock films.

And the number of times I have watched Giant, or Citizen Cane, is embarrassing.

I have old movies playing all the time. I don't actually watch them, but I find them comforting in a weird way, esoecially black, and white films. I think the old, good movies take a part of my brain away from reality? I listen to them while working,

Yes--how can I find Platoon comforting? At that point in my life, Charlie Sheen's character, and his father's, reminded me there are moral people still left. Maybe only in fantasy though?

I get what you are saying though. I have The Andy Griffith show on all the time.

(fun murky fact, I think true, fact about the Andy Griffith show. They didn't bother to copyright the episodes. For years people could sell copies of the show without copyright concerns. I think it's copy written now though.)

> I suspect that Netflix had some movies that I would gladly watch

No so sure about that, in my experience they really don't have a deep licence pool any more, at least not for movies.

For me, the reason was partially the engine, partially their active work at confusing me.

I would keep seeing stuff I don’t want to watch, and they would keep switching out thumbnails to trick me into thinking it’s something I haven’t encountered. Both of those combined made browsing a chore, and I simply had no interest in using something that’s actively working against me (which is also the reason I went from being an active FB user to only using it for groups and messaging, so it’s not as if "actively working against me" is a Netflix exclusive)

A more minor reason is the lack of information displayed, but I could have handled that.

The most annoying thing about these streaming platforms is no IMDB rating being displayed. I have to type in every suggestion one by one which is annoying, or use a third party search engine. It'd be such a huge UX boost to simply include the rating, and better yet allow filtering by rating, I really don't get it. Perhaps they're trying to build network effects around their own rating system but it really detracts from the UX.
Maybe it's because filtering by rating would expose how shallow the catalogue is?

At least in my locale a good way to be reminded of this is searching for any movie you'd like to watch but isn't on the front page of netflix, typically they won't have it.

I think you are right. My impression is that all the UI is dedicated to fool the user perception of the catalog, to make it look better than it is.
They made a change at some point (2017?) so as not to show movie ratings. I figured the reason was to give low rated movies a chance because I won't necessarily dislike a movie with IMDB rating 5.2/10. I've seen excellent movies with rating < 6.0 and lousy movies with rating > 7.5 It's just that my taste sometimes doesn't match with IMBD users.
> I really don't get it

Presumably poorly rated movies are a lot cheaper to license; and when you're licensing 2/10 rated movies, user satisfaction is a lot higher if you don't show the ratings.

IMDb is owned by Amazon. Amazon Prime shows IMDb ratings in its app.
They display IMDB rating only for some titles and it has to pass certain level of rating ( 6 +)
And at least when I'm on it through my browser, I need to actually click on the title to see the rating, which makes it difficult to use it to filter out junk quickly.
You can add IMDB ratings with extensions. https://chrome.google.com/webstore/detail/trim-imdb-ratings-...
In the end they will promote what they WANT to be popular, so our suggested titles will still be a mess of shit we already watched or disliked with a button.

Shows with 10 seasons you hated and disliked after 5 minutes will still be in our "continue watching" or suggested.

> In the end they will promote what they WANT to be popular

This is a hugely important point. I'm completely uninterested in most netflix originals, but I understand why they're going to continue to recommend them to me.

Which only goes to show that recommendation systems need to be separated from the vendors whose wares are being recommended. There's a huge conflict of interest here - so of course recommendations will be biased towards what the platform makes most money on. This applies not just to Netflix, but also YouTube.

As it is, these systems are just in-house banner ads in disguise, and as trustworthy as any other ad.

For a recommendation system to work in the interest of its users, its profits would have to be completely uncorrelated to the recommendations it gives. In a more sane world, platforms would have to accept such third-party recommendation systems as first-class citizens, to be used in lieu of whatever the platform offers.

What Netflix wants to be popular also tramples over what I am already watching. I find that the UI gets in the way of enjoying several programs that I am part way through by pushing something new. If they want to continue to make series and only get me to watch half of the episodes then the algorithm is spot on.

That said, Amazon Prime video is so much worse. It suggests that I would like to watch series 1 of a show when I have watched it and am part way through season 2.

To their defense - their catalog in some countries (like mine) is so small that I was able to just ... browse through the whole offer in 10 minutes.

I've managed to binge-watch everything I liked in two months (while working full time remotely) and cancel Prime.

With such a small catalog suggestions will mostly be wrong, as there isn't enough content to fill the whole suggestions tab :)

Which makes you wonder why they even bother with suggestions in the first place, instead of doing the obvious thing: giving you a searchable list of all movies they have for your region.

Given that the former is a major engineering project, while the latter is a junior-level interview question, one has to assume they're trying to confuse their users on purpose.

Nah, it's presumably because they just lift and shift the US code to whatever new region they're in, without actually investing any thought into it.

This is a recurrent problem with US based services, as residents of the USA tend to forget that they are a very large country.

iirc amazon video owns their own recommendations distinct from the rest of the company, where previously recommendations were generated from the standard retail systems. I'm convinced that they got worse when this change was made but this is purely anecdotal.
I'd like a way to filter out the Netflix Originals too.
The problem with this is that Netflix Originals apparently gets slapped on stuff that Netflix bought post-production or financed as a co-production.
What Netflix is doing is hiding the fact that they have very little new content. If they implemented all your suggestions, I'd have about 3 titles to watch, which I would like, but they're worried that I'd cancel the subscription.
Maybe I'm an outlier, but I don't care that much about new content, I care about good content. For quite a while I thought Netflix had a very small catalog, until I started deliberately going to specific categories that the recommendation engine never show me, then I realized that there is actually a fairy extensive back catalog of shows that are interesting, especially various shows in non-English languages.
The kind of content that works well for Netflix does not work so well for me. They introduce just enough content that works for me that I don’t cancel the subscription.

I still find it a marvel that despite the majority of content introduced being not for me, I have been able to watch something unseen approximately every night and have given up on so little. In that sense, it is better than TV – even if the impression I get from the new content I scroll past is that it appears to be following all the same trends that made TV less appealing to me.

The most irritating consequence of this content problem for me is that nothing remains in the same place. Is continue watching going to be one, two or even three down button presses tonight? The reward is occasionally something gets suggested that is worth watching that would have been found anyway within a few minutes of searching.

I would imagine what they’re doing makes sense for the majority, but it would be wonderfully nice if there were some kind of alternate "advanced" mode for people who understand the lack of content where all this suggested and popular stuff went away and the search filter improved.

There’s not enough content for completely new listings every time, and people do watch things repeatedly, especially TV shows.
I get the value of rewatching stuff, but some people take it to an extreme and I suspect these were the same people whose parents let them watch the same children’s show/movie over and over and over.
My understanding is that children rewatching things over and over is healthy for them, as it aids in things like language learning.

Anecdotally, in my own experience learning a second language, the online part of the course will play an audio or video clip, then play it again and have you answer questions on it, then do it again having you fill out missing words in a transcript, then play it again as you read the text along. I've found this extremely helpful to tune my ears.

I was one of those kids and hate rewatching things now.
I’m glad you got out of it
Keep in mind the prize started before streaming did. You did not have the same data points they do today, as they were reading the thumbs up/down from DVDs shipping. Nor was the UI full of the same level of marketing as it is today, especially for all their original content, as none of that existed.
I think we all have personal preferences; for example:

If I watched a movie and gave it a thumbs down, don't recommend it

I sometimes click thumbs down by accident, or upon rewatching change my opinion.

If I watched a movie < 1 month ago, don't recommend it

I like to rewatch movies, sometimes more than once in a month.

If I browsed over a movie 50 times, read the info, and still didn't play it, stop recommending it.

I have a terrible habit of browsing Netflix and watching trailers right before falling asleep, and I'm sure I've done this to the same titles over and over again.

If I watched the last episode, remove the "new episodes" banner.

I'm not in front of Netflix right now; what happens if new episodes are added while you're watching the series?

The engine would be better not doing silly things just because of a "sometimes" fetish or bad faith.

It's also trivial to put all of the things you watched recently into their own subcategory in case you want to watch them again, which is in fact something that Netflix already does. It's called "Watch It Again". There's no reason to pollute recommendations for that.

> I sometimes click thumbs down by accident

The recommendation engine should be obeying your explicit actions, not trying to subvert them. Accidentally clicking thumbs down is an outlier action that is trivial for you to rectify on your own as soon as it happens.

> or upon rewatching change my opinion.

Intentionally rewatching a movie that you expressly disliked is an outlier position.

> I like to rewatch movies, sometimes more than once in a month.

Netflix already has a personal queue+favorites list called "My List" that you can add things to. If it has been less than a month since you last watched something, the reason you're watching it again so soon is because it's on your mind already and you don't need the recommendation engine for that.

Your reference is whatever crap Netflix currently uses. The algorithm they were using at the time of the prize was actually good to begin with. I think they may also have a smaller catalog of movies now. So that wouldn't help.
Yes, the streaming movie catalogue today is probably <1% of the DVD catalogue from the AI challenge days.
The DVD catalogue is still available. They even have an app for impulse adds :) https://dvd.netflix.com/App
Yeah. I finally gave up on it last year not because of the catalogue, but because the turnaround got too slow. Individually renting movies to stream is better all-around.
It's still working out ok for us. We're doing the 2 DVDs at a time, and while I understand netflix always was suspected of "rate-limiting" people who had too much churn, we must not be anywhere near that since turnaround is still just a few of days. We're not impulse watchers so it's fine.

It's still tons cheaper than individual stream rentals, there's more device flexibility, a lot more choice, doesn't require blackbox DRM on the devices (they are probably going to force secure enclaves on linux for their DRM at some point once the kernel patches propagate).

How the heck youtube algo is so good? Just start with incognito tab and once it hints your interest he can put you in Rabit Hole.

I really dislike it. I wanted it to be more like netflix so I don't get suck in.

YouTube's is rubbish for discovery though I think, it just sucks you deeper and deeper into what you're already interested in.
Since Youtube's inception I have never wanted to watch a single video that was suggested. I am really baffled how anybody can consider it good.

Could be a location issue since I am not in the US.

You just need to watch few videos. Than it'll make suck you. I don't think it depends on the location.

Just browse some of your interest and you'll be in rabit hole. I don't know its so addictive for me.

All these rules determine what it shouldn't recommend. What rules would you use to determine what it should recommend?

Would you agree that these rules will quickly become unwieldy and a pain to maintain? And that these will be personalized to your taste but not to someone else's?

Wouldn't it be great if you didn't have to maintain those rules and if the system were tailored to every user? Congratulations, you've just realized you'd like to use ML/AI.

Based on the previous posts rules, for me it would be: Recommend anything else you have that's not excluded by those rules. And give me a "remove" like Amazon does and I'll be happy.

I don't actually want recommendations, I want a catalog with exclusions.

Eventually, you will be presented a blank page with a bit of text "You have consumed all of the internet. There is no more for you." You can read into that however dark you want to take it.
- Do you really get recommenditions for movies you already watched or down voted? I'm not aware of that happening to me. It's not it the case that you use multiple different profiles within a single account? I sometimes see that for shows we finished, yet people tend to rewatch episodes...

- Removing a movie based on "not payed X times" would remove all popular movies for all users in a multiple of X steps.

-I agree with the new episodes banner.

I'm not sure about down voted ones, but I can confirm that I sometimes get already watched movies recommended again (even in recommendation mails).
>- If I watched a movie < 1 month ago, don't recommend it

yeah some movies might be more likely to be rewatchable quicker by a larger amount of the population, and some people might be more likely to be able to rewatch movies they like more quickly than a month - and those people might have preferences that indicate their liking to rewatch more often.

Thus it might be nice to do AI on this.

All the AI you need for this is an input box:

  Wait [  ] months before recommending again a show
  I already watched.
Alas, giving users control is anathema to this industry.
as I said >yeah some movies might be more likely to be rewatchable quicker by a larger amount of the population,

>Wait [ ] months before recommending again a show I already watched.

does not handle that scenario, furthermore I am perhaps more pessimistic about user self knowledge than you are. I would probably make that box some high number but I am a sucker for rewatching some movies very often.

Netflix already gives you a way to add things to a personal list of things you want to watch soon and already has a category for things that you've already seen and enjoyed in case you want to watch them again. There's no need to pollute the general recommendations to scratch this itch.
Why would you need to be recommended a movie you already watched? You know about it and if you want to watch it again just search for it. Recommendations should be for discovery of new content.
There's movies you watched and there's movies you never watched and/or never heard of. Its that latter group that the netflix prize was designed for.

The former group is just simple filters as you point out - which informs the ranking of the second group.

Yes, I got annoyed, too, by the suggestions on Netflix.

However, what they do might actually work for them, i.e.

(1) The HN is probably not representative of their audience as a whole (2) What they do now might be RoE accretive for them, but not so great even for a wider section of their customers

Could still be suboptimal and probably is...

I wonder if there's space for a proper, quality recommendation engine for Netflix. In my books, it would do exactly what you described here, plus provide way for user to input persistent constraints (e.g. "Don't show me movies from 'Horror' genre") and queries (e.g. "genre: sci-fi, after: 2010").

How could it work with Netflix without their explicit support? For the movie database, I assume there's some data source somewhere that lists all the movies and series Netflix currently has in any given region. As for ingesting watching history, it could parse Content Interaction History exported from Netflix via their GDPR Subject Access Request flow. Sure, they have up to 30 days to process such request, but I'd happily accept a recommendation system I have to manually update every month, over the disaster Netflix has been offering to its users.

The great thing with these transparent parameters is that it can be user-adjusted to people's preferences. For example, maybe don't recommend if watched < x months ago.
You forgot the "Hidden Gems" section with movies that you had already watched and even rated.
I’d settle for being able to filter out movies that are not available in my language.
i wish they would expand out their browsing and browsing by genre too!