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[REQUEST] Data for testing the accuracy of a new recommendation algorithm requested (lemmy.world)

submitted 8 months ago* (last edited 8 months ago) by [email protected] to c/[email protected]

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Hello Lemmings,

I've been working on a new anime recommendation algorithm the past 4 months and now I pretty much have the algorithm done.

To test the accuracy of the algorithm, I am requesting any MyAnimeList user with 50+ completed animes to post their MyAnimeList username along with their overall top 3 genres in descending order. This will then be compared to what the algorithm guessed.

Thanks in advance.

Edit: Thanks a lot, guys. I finally released the project! You can find it here: https://github.com/Asudox/anote

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[–] [email protected] 2 points 8 months ago* (last edited 8 months ago)

The thing is anime.plus is more of a statistic tool than a recommendation algorithm. I can't comment on their recommendation algorithm since it's written in PHP and I don't know PHP at all (my algorithm is written in Rust btw). What I noticed is that they mixed in themes to genres. Probably because of MAL's poor labeling.

I've also been trying to add some rather stalker-like factors into my algorithm just to test, such as your average watch time of 12 episode animes and changing the weights according to that. However, it became complex pretty soon and my algorithm slowed down to 1 millisecond from 500 microseconds, so yeah. It also didn't have that much of an impact and I figured out that it is rather dumb since liking a certain genre does not mean everyone will binge-watch the anime like I do.