Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation-Reference-Cited by-同舟云学术

Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM Conference on Recommender Systems
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Author:

Gong Zhen¹^ORCID,Wu Xin²^ORCID,Chen Lei²^ORCID,Zheng Zhenzhe³^ORCID,Wang Shengjie²^ORCID,Xu Anran³^ORCID,Wang Chong²^ORCID,Wu Fan³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Shanghai Jiao Tong University, China

2. Bytedance Inc., USA

3. Shanghai Jiao Tong University, China

Funder

National Key R&D Program of China

Shanghai Science and Technology fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604915.3608773

Reference42 articles.

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3. Beyond Globally Optimal

4. An Analysis for Unreplicated Fractional Factorials

5. Jason Brownlee. 2020. Imbalanced classification with Python: better metrics balance skewed classes cost-sensitive learning. Machine Learning Mastery. Jason Brownlee. 2020. Imbalanced classification with Python: better metrics balance skewed classes cost-sensitive learning. Machine Learning Mastery.

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