It’s Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation

Alongside natural language processing and computer vision, large learning models have found their way into e-commerce. Especially, for recommender systems and click-through rate prediction, these models have shown great predictive power. In this work, we aim to predict the probability that a custome...

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Bibliographic Details
Main Authors: Miguel Alves Gomes, Richard Meyes, Philipp Meisen, Tobias Meisen
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Journal of Theoretical and Applied Electronic Commerce Research
Subjects:
Online Access:https://www.mdpi.com/0718-1876/19/1/8