UDM: A Unified Deep Matching Framework in Recommender Systems
Author:
Affiliation:
1. Alibaba Group, Beijing, China
2. Alibaba Group, Hangzhou, China
3. School of CS & Key Lab of High Confidence Software Technologies, Peking University & Institute of Computational Social Science, Peking University, Beijing, China
Funder
the National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3511808.3557069
Reference29 articles.
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2. Yukuo Cen Xu Zou Jianwei Zhang Hongxia Yang Jingren Zhou and Jie Tang. 2019. Representation Learning for Attributed Multiplex Heterogeneous Network. In KDD. 1358--1368. Yukuo Cen Xu Zou Jianwei Zhang Hongxia Yang Jingren Zhou and Jie Tang. 2019. Representation Learning for Attributed Multiplex Heterogeneous Network. In KDD. 1358--1368.
3. Paul Covington Jay Adams and Emre Sargin. 2016. Deep Neural Networks for YouTube Recommendations. In RecSys. 191--198. Paul Covington Jay Adams and Emre Sargin. 2016. Deep Neural Networks for YouTube Recommendations. In RecSys. 191--198.
4. Yufei Feng Fuyu Lv Weichen Shen MenghanWang Fei Sun Yu Zhu and Keping Yang. 2019. Deep Session Interest Network for Click-through Rate Prediction. In IJCAI. 2301--2307. Yufei Feng Fuyu Lv Weichen Shen MenghanWang Fei Sun Yu Zhu and Keping Yang. 2019. Deep Session Interest Network for Click-through Rate Prediction. In IJCAI. 2301--2307.
5. Deep Learning for User Interest and Response Prediction in Online Display Advertising;Gharibshah Zhabiz;DSE,2020
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