Replicability in Cutting-Edge RecSys
August 02, 2024
October 17, 2024
In recent years, our focus has been on addressing the critical issue of replicability in research papers about Recommender Systems. This is a key area of concern, as it directly impacts the reliability and trustworthiness of our findings. Our goal is to develop a novel RecSys architecture, including those based on LLMs, that can be replicated with consistent results. If this is not possible, we are committed to releasing a standard pipeline that can be used to reproduce our results.
Goal
Replicating experiments of popular Recommender Systems approaches with the goal to make a publication at the next ACM RecSys conference.