FashionReGen: LLM-Empowered Fashion Report Generation-Reference-Cited by-同舟云学术

FashionReGen: LLM-Empowered Fashion Report Generation

Published:2024-05-13 Issue: Volume: Page:991-994
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Container-title:Companion Proceedings of the ACM Web Conference 2024
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Author:

Ding Yujuan¹^ORCID,Ma Yunshan²^ORCID,Fan Wenqi¹^ORCID,Yao Yige¹^ORCID,Chua Tat-Seng²^ORCID,Li Qing¹^ORCID

Affiliation:

1. The Hong Kong Polytechnic University, Hong Kong, Hong Kong

2. National University of Singapore, Singapore, Singapore

Funder

SHTM Interdisciplinary Large Grant

PolyU Distinguished Postdoctoral Fellowship

National Natural Science Foundation of China

Internal Research Funds from the Hong Kong Polytechnic University

General Research Funds from the Hong Kong Research Grants Council

Research Collaborative Project of Polyu

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589335.3651232

Reference6 articles.

1. Liying Cheng Xingxuan Li and Lidong Bing. 2023. Is GPT-4 a Good Data Analyst?. In EMNLP (Findings). ACL 9496--9514.

2. Computational Technologies for Fashion Recommendation: A Survey

3. Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media

4. Personalized fashion outfit generation with user coordination preference learning

5. Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, and Tat-Seng Chua. 2020. Knowledge Enhanced Neural Fashion Trend Forecasting. In ICMR. ACM, 82--90.

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