RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution
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Abstract (arXiv)
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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References · 4
- 2016Product-based Neural Networks for User Response Predictioncited by 145
- 2016Deep Learning over Multi-field Categorical Data: A Case Study on User Response Predictioncited by 67
- 2014An Overview of General Performance Metrics of Binary Classifier Systemscited by 3
- 2015Exploring Online Ad Images Using a Deep Convolutional Neural Network Approachcited by 1
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