MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction-Reference-Cited by-同舟云学术

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 38th International Conference on Data Engineering (ICDE)
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Author:

Guo Wei¹,Zhang Can²,He Zhicheng¹,Qin Jiarui³,Guo Huifeng¹,Chen Bo¹,Tang Ruiming¹,He Xiuqiang¹,Zhang Rui

Affiliation:

1. Huawei Noah's Ark Lab

2. National University of Singapore

3. Shanghai Jiao Tong University

Publisher

IEEE

Link

Reference54 articles.

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