Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks-Reference-Cited by-同舟云学术

Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks

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

Zhu Yongchun¹,Xie Ruobing²,Zhuang Fuzhen³,Ge Kaikai²,Sun Ying⁴,Zhang Xu²,Lin Leyu²,Cao Juan⁴

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, & Tencent, Beijing, China

2. Tencent, Beijing, China

3. Beihang University, Beijing, China

4. Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China under Grant

Publisher

ACM

Link

Reference48 articles.

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