RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution

• URL: http://arxiv.org/abs/2401.06830v1
• Date: Fri, 12 Jan 2024 10:14:10 GMT
• Title: RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution
• Authors: Maxime Manderlier and Fabian Lecron
• Abstract summary: The RecSys Challenge 2023, presented by ShareChat, consists to predict if an user will install an application on his smartphone after having seen advertising impressions in ShareChat & Moj apps. This paper presents the solution of 'Team UMONS' to this challenge, giving accurate results with a relatively small model that can be easily implemented in different production configurations.
• Score: 2.0564549686015594
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: The RecSys Challenge 2023, presented by ShareChat, consists to predict if an user will install an application on his smartphone after having seen advertising impressions in ShareChat & Moj apps. This paper presents the solution of 'Team UMONS' to this challenge, giving accurate results (our best score is 6.622686) with a relatively small model that can be easily implemented in different production configurations. Our solution scales well when increasing the dataset size and can be used with datasets containing missing values.

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