Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System-Reference-Cited by-同舟云学术

Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

He Bowei¹^ORCID,He Xu²^ORCID,Zhang Renrui³^ORCID,Zhang Yingxue⁴^ORCID,Tang Ruiming²^ORCID,Ma Chen¹^ORCID

Affiliation:

1. City University of Hong Kong, Hong Kong, Hong Kong

2. Huawei Noah's Ark Lab, Shenzhen, China

3. The Chinese University of Hong Kong, Hong Kong, Hong Kong

4. Huawei Noah's Ark Lab Montreal, Montreal, PQ, Canada

Funder

CityU New Research Initiatives (Start-up Grant)

CityU Strategic Research Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615135

Reference48 articles.

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4. Andrew Brock , Theodore Lim , James M Ritchie , and Nick Weston . 2017. Smash: one-shot model architecture search through hypernetworks. arXiv preprint arXiv:1708.05344 ( 2017 ). Andrew Brock, Theodore Lim, James M Ritchie, and Nick Weston. 2017. Smash: one-shot model architecture search through hypernetworks. arXiv preprint arXiv:1708.05344 (2017).

5. StreamRec

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