Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement-Reference-Cited by-同舟云学术

Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement

Published:2021-07-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Cheng Mingyue¹,Yuan Fajie²,Liu Qi¹,Ge Shenyang³,Li Zhi¹,Yu Runlong¹,Lian Defu¹,Yuan Senchao¹,Chen Enhong¹

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. Westlake University & Tencent Inc., Hangzhou, China

3. JD Inc, Beijing, China

Funder

This research was partially supported by grants from the National Key Research and Development Program of China (No. 2018YFC0832101), and the National Natural Science Foundation of China (Grants No. 61922073, U20A20229, 61976198 and 62022077), and the Fundamental Research Funds for the Central Universities.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404835.3462863

Reference59 articles.

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2. Immanuel Bayer Xiangnan He Bhargav Kanagal and Steffen Rendle. 2017. A generic coordinate descent framework for learning from implicit feedback. In WWW. 1341--1350. Immanuel Bayer Xiangnan He Bhargav Kanagal and Steffen Rendle. 2017. A generic coordinate descent framework for learning from implicit feedback. In WWW. 1341--1350.

3. Yoshua Bengio Jean-Sébastien Senécal etal 2003. Quick Training of Probabilistic Neural Nets by Importance Sampling.. In AISTATS. 1--9. Yoshua Bengio Jean-Sébastien Senécal et al. 2003. Quick Training of Probabilistic Neural Nets by Importance Sampling.. In AISTATS. 1--9.

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