These days my biggest gripe is that they put unrelated ragebait or clickbait videos in search results that I very clearly did not search for - often about American politics.
These days my biggest gripe is that they put unrelated ragebait or clickbait videos in search results that I very clearly did not search for - often about American politics.
Now the "related" section is gone in favor of "recommended" samey clickbait garbage. The relations between human interests are too esoteric for current ML classifiers to understand. The old Markov-chain style works with the human, and lets them recognize what kind of space they've gotten themselves into, and make intelligent decisions, which ultimately benefit the system.
If you judge the system by the presence of negative outliers, rather than positive, then I can understand seeing no difference.
I would go further and say that it is impossible. Human interests are contextual and change over time, sometimes in the span of minutes.
Imagine that all the videos on the internet would be on one big video website. You would watch car videos, movie trailers, listen to music, and watch porn in one place. Could the algorithm correctly predict when you're in the mood for porn and when you aren't? No, it couldn't.
The website might know what kind of cars, what kind of music, and what kind of porn you like, but it wouldn't be able to tell which of these categories you would currently be interested in.
I think current YouTube (and other recommendation-heavy services) have this problem. Sometimes I want to watch videos about programming, but sometimes I don't. But the algorithm doesn't know that. It can't know that without being able to track me outside of the website.
Theres a general problem in the tech world where people seem to inexplicably disregard the issue of non-reducibility. The point about the algorithm lacking access to necessary external information is good.
A dictionary app obviously can't predict what word I want to look up without simulating my mind-state. A set of probabilistic state transitions is at least a tangible shadow of typical human mind-states who make those transitions.
* They could let me directly enter my interests instead of guessing
* They could classify videos by expertise (tags or ML) and stop recommending beginner videos to someone who expresses an interest in expert videos.
* They could let me opt out of recommending videos I've already watched
* They could separate sites into larger categories and stop recommending things not in that category. For me personally, when I got to youtube.com I don't want music but 30-70% of the recommendations are for music. If the split into 2 categories (videos.youtube.com - no music) and (music.youtube.com - only music) they'd end up recommending far more to me that I'm actually interested in at the time. They could add other broad categories like (gaming.youtube.com, documentaries.youtube.com, science.youtube.com, cooking.youtube.com, ...., as deep as they want). Classifying a video could be ML or creator decided. If you're only allowed one category they would be incentive to not mis-classify. If they need more incentive they could dis-recommend your videos if you mis-classify too many/too often).
* They could let me mark videos as watched and actually track that the same as read/unread email. As it is, if you click "not interested -> already watched" they don't mark the video as visibly watched (the red bar under the video). Further, if you start watching again you lose the red-bar (it gets reset to your current position). I get that tracking where you are in a video is something that's different for email vs video but at the same time (1) if I made it to 90% of the way through then for me at least, that's "watched" - same as "read" for email and I'd like it "archived" (don't recommend this to me again) even if I start watching it again (same as reading an email marked as "read)
>let me directly enter my interests
Someone probably changed the engine that shows videos for you - exactly as with search.
Or when they would show more than 3 results before spamming irrelevant videos.
Or when they didn't show 3 unskippable ads in a 5 minute video.
Or when they had a dislike button so you would know to avoid wasting time on low quality videos.
Wait what?! You "Consume Content" on a COMPUTER? What are you some kinda grandpa? Why aren't you consuming content from your phone like everyone else? Or casting it from your phone to your SMART TV! Great way to CONSUME CONTENT!
CONSUME CONTENT CONSUME CONTENT CONSUME CONTENT CONSUME CONTENT CONSUME CONTENT CONSUME CONTENT CONSUME CONTENT CONSUME CONTENT CONSUME CONTENT
I don't know about the TV though.
> Or when they didn't show 3 unskippable ads in a 5 minute video.
On desktop Chrome, a modern ad-blocking browser extension will block 100% of YouTube adverts. I haven't watched one, literally, in years. I don't watch YouTube from a mobile phone, but I think the situation is different. (Can anyone else comment about the mobile experience?)I also use Firefox for Android, which has Addon support. Ublock Origin works on the phone and disables a a lot of the ad horror.
It feels a bit funny asking this, since we're talking about Google (i.e. YouTube), but did you mean ;) PipeTube? I know there is a PeerTube too.
If I entirely avoid watching any popular videos, the recommendations are quite good and don’t seem to include anything like what you are seeing. If I don’t entirely avoid them, then I do get what you are seeing (among other nonsense).