Earlier quoted context omitted.
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 jus…
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.
How useful was the Netflix Prize challenge for Netflix?
181–190 of 205 posts
Re: How useful was the Netflix Prize challenge for Netflix?
#182Earlier quoted context omitted.
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.
Re: How useful was the Netflix Prize challenge for Netflix?
#183I 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 - 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
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
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?
Re: How useful was the Netflix Prize challenge for Netflix?
#184Earlier quoted context omitted.
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"…
Related: Has anyone figured out how they determine the trending section? It seems some shows have been trending for years.
Re: How useful was the Netflix Prize challenge for Netflix?
#185Earlier quoted context omitted.
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…
> 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. Gues…
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.
Re: How useful was the Netflix Prize challenge for Netflix?
#186I 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 - 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
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 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 browsin…
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.
Re: How useful was the Netflix Prize challenge for Netflix?
#187I 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 - 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
>- If I watched a movie 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.
Re: How useful was the Netflix Prize challenge for Netflix?
#188Earlier quoted context omitted.
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 rel…
>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…
Re: How useful was the Netflix Prize challenge for Netflix?
#189Earlier quoted context omitted.
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
Re: How useful was the Netflix Prize challenge for Netflix?
#190Earlier quoted context omitted.
>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…
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.