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arXiv · 1511.06247

Predicting online user behaviour using deep learning algorithms

Armando Vieira
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Abstract

We propose a robust classifier to predict buying intentions based on user behaviour within a large e-commerce website. In this work we compare traditional machine learning techniques with the most advanced deep learning approaches. We show that both Deep Belief Networks and Stacked Denoising auto-Encoders achieved a substantial improvement by extracting features from high dimensional data during the pre-train phase. They prove also to be more convenient to deal with severe class imbalance.

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Armando Vieira. 2015-11-19. Predicting online user behaviour using deep learning algorithms. https://arxiv.org/abs/1511.06247

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