I am very interest in this. Deep NN are quite an interesting subject and something I'm personally quite curious about.
I also use youtube recommendations quite a lot for some fairly specialize interests [which I'll keep unstated for now]. My current impression has been that the recommendation system has only gotten worse in the last ten years and is now nearly broken (I get recommendations from third party websites now).
As I recall things, Youtube removed most user recommendation controls 5-10 years ago and the guesses it makes still haven't made up for this loss.
But there are other things I find even harder to understand. I find that when I'm not logged in, after choosing 5-10 videos, youtube will start to recommend good stuff, indeed things that I'd like on my regular recommendation list but which I never do see there.
My impression of my regular recommendations is that serves nothing but crudes averages, videos that I just assume someone pays Google to recommend. ("Sports" "celebrity fails", etc).
Which brings me to shock that the cream of the cream of AI somehow deploys this to me. I get that Convnets have made quantum leaps in image recognition competitions. AlphaGo was a clear advance. But where is the progress here? If the recommendation engine is categorizing videos, either the categorizations don't correspond to my experiences or its using the categorizations incorrectly. Broadly, my impression is the algorithm is swayed by whether a video is broadly popular rather than whether its in a given category. And I work hard to prune every off-topic suggested video or suggested topic, yet I get what seems like poor to worthless quality recommendations.
I am very interest in this. Deep NN are quite an interesting subject and something I'm personally quite curious about.
I also use youtube recommendations quite a lot for some fairly specialize interests [which I'll keep unstated for now]. My current impression has been that the recommendation system has only gotten worse in the last ten years and is now nearly broken (I get recommendations from third party websites now).
As I recall things, Youtube removed most user recommendation controls 5-10 years ago and the guesses it makes still haven't made up for this loss.
But there are other things I find even harder to understand. I find that when I'm not logged in, after choosing 5-10 videos, youtube will start to recommend good stuff, indeed things that I'd like on my regular recommendation list but which I never do see there.
My impression of my regular recommendations is that serves nothing but crudes averages, videos that I just assume someone pays Google to recommend. ("Sports" "celebrity fails", etc).
Which brings me to shock that the cream of the cream of AI somehow deploys this to me. I get that Convnets have made quantum leaps in image recognition competitions. AlphaGo was a clear advance. But where is the progress here? If the recommendation engine is categorizing videos, either the categorizations don't correspond to my experiences or its using the categorizations incorrectly. Broadly, my impression is the algorithm is swayed by whether a video is broadly popular rather than whether its in a given category. And I work hard to prune every off-topic suggested video or suggested topic, yet I get what seems like poor to worthless quality recommendations.