Personalized recommendation model for manga

[peachblacky]

Main point
As of now (as i see from the source code), the Recommendations block in app just suggest some bunch of random manga to scroll through.
I think it would be a great idea to make some more thoughtful algorithm to do it, for example some Linear Recommendation model (like EASE or SANSA)

Thing to take into account

I am currently working as Recommendation System Engineer, and i think i could try to approach this problem and make a cool recommendations for people to find new manga.
But to do this, a couple of thing should be connsidered

• Computational Resources. Are we constrained to only the app itself, or does the team have some sort of server/cluster, where we could set up a services to train model and run API for them?
• Does the app somehow collect statistics for users now? Like with which manga has user interacted, when that happened etc.

Would be great if someone could have a discussion with me on this point :-)