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Understanding Twitter Engagement with a Click-Through Rate-based Method
September 30, 2020 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Andrea Fiandro, Jeanpierre Francois, Isabeau Oliveri, Simone Leonardi, Matteo A. Senese, Giorgio Crepaldi, Alberto Benincasa, Giuseppe Rizzo
arXiv ID
2010.06985
Category
cs.IR: Information Retrieval
Cross-listed
cs.LG,
cs.SI
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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