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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
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Series: | Journal of Theoretical and Applied Electronic Commerce Research |
Subjects: | |
Online Access: | https://www.mdpi.com/0718-1876/19/1/8 |