In plain words: A recommender that studies which subreddits a person visits and what those posts say, mixing quiet signals like clicks with clear ones like joins. It is meant to beat Reddit's one-size-fits-all suggestions by tailoring picks to each user.

Abstract

This paper aims to improve upon the generic recommendations that Reddit provides for its users. We propose a novel personalized recommender system that learns from both, the presence and the content of user-subreddit interaction, using implicit and explicit signals to provide robust recommendations.

Abhishek K Das, Nikhil Bhat, Sukanto Guha, Janvi Palan
arXiv:1905.01263 · cs.IR · submitted May 3, 2019
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