Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation-Reference-Cited by-同舟云学术

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation

Published:2024-03-04 Issue: Volume: Page:
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Container-title:Proceedings of the 17th ACM International Conference on Web Search and Data Mining
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Author:

Wang Yuhao¹^ORCID,Liu Ziru¹^ORCID,Wang Yichao²^ORCID,Zhao Xiangyu¹^ORCID,Chen Bo³^ORCID,Guo Huifeng²^ORCID,Tang Ruiming²^ORCID

Affiliation:

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

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

3. Huawei Noah's Ark Lab, Shanghai, China

Funder

SIRG - CityU Strategic Interdisciplinary Research Grant

APRC - CityU New Research Initiatives

Hong Kong ITC Innovation and Technology Fund Midstream Research Programme for Universities Project

Huawei Innovation Research Program

CityU - HKIDS Early Career Research Grant

Hong Kong Environmental and Conservation Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616855.3635807

Reference48 articles.

1. Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017. Wasserstein generative adversarial networks. In International conference on machine learning. PMLR, 214--223.

2. Application of the logistic function to bio-assay;Berkson Joseph;Journal of the American statistical association,1944

3. Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, and Mubarak Shah. 2023. Diffusion models in vision: A survey. IEEE Transactions on Pattern Analysis and Machine Intelligence (2023).

4. Qiang Cui Tao Wei Yafeng Zhang and Qing Zhang. 2020. HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation. In ORSUM@ RecSys.

5. Diffusion models beat gans on image synthesis;Dhariwal Prafulla;Advances in Neural Information Processing Systems,2021

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