Understanding Twitter Engagement with a Click-Through Rate-based Method
Andrea Fiandro, Jeanpierre Francois, Isabeau Oliveri, Simone Leonardi, Matteo A. Senese, Giorgio Crepaldi, Alberto Benincasa, Giuseppe Rizzo
arXiv:2010.06985v1
Originality Synthesis-oriented
AI Analysis
This is an incremental solution for a specific recommendation systems challenge.
The paper tackled the RecSys Challenge 2020 by presenting the POLINKS solution, which used click-through rate to rank 6th on the final leaderboard and compared performance with a gradient boosting model.
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.