This paper presents the POLINKS solution to the RecSys Challenge 2020 that ranked 6th in the final leaderboard. We analyze the performance of our solution that utilizes the click-through rate value to address the challenge task, we compare it with a gradient boosting model, and we report the quality indicators utilized for computing the final leaderboard.
Cite
@article{arxiv.2010.06985,
title = {Understanding Twitter Engagement with a Click-Through Rate-based Method},
author = {Andrea Fiandro and Jeanpierre Francois and Isabeau Oliveri and Simone Leonardi and Matteo A. Senese and Giorgio Crepaldi and Alberto Benincasa and Giuseppe Rizzo},
journal= {arXiv preprint arXiv:2010.06985},
year = {2020}
}