Not likely, but we could do something close, maybe...
Start tracking downloads of anime music videos and pageviews.
Link this data to the anime music video itself.
By treating each data property as a distinguished element in a group, we can use discrete group mapping to analyse the relationships between certain characteristics. That said, it works without any previous data on group bindings, it extrapolates the data statistically. In simple terms:
Keep track of the music videos that one person downloads. Then look at the other people who have downloaded that video. See what they've downloaded, and apply 4096 points to the analysis metric of that video. Continue down a few generations applying fewer points as you go along.
Map the videos to the music, indeed, keep track of the music in the videos that people download. Link that to videos groups, and to users.
There. statistical data on what people like.
And what is this algorithm good for?
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