RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution
This is an incremental solution for a specific recommendation challenge, aimed at improving ad targeting efficiency for social media platforms.
The paper tackled predicting app installations from ad impressions in ShareChat and Moj apps, achieving a score of 6.622686 with a model that is small, scalable, and handles missing data.
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.