Deep Interest Network for Click-Through Rate Prediction

Guorui Zhou
Guorui Zhou
Xiaoqiang Zhu
Xiaoqiang Zhu
Chenru Song
Chenru Song
Ying Fan
Ying Fan
Han Zhu
Han Zhu
Yanghui Yan
Yanghui Yan
Junqi Jin
Junqi Jin

KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining London United Kingdom August, 2018, pp. 1059-1068, 2018.

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摘要

Click-through rate prediction is an essential task in industrial applications, such as online advertising. Recently deep learning based models have been proposed, which follow a similar Embedding&MLP paradigm. In these methods large scale sparse input features are first mapped into low dimensional embedding vectors, and then transformed i...更多

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