Personalized clothing recommendation fusing the 4-season color system and users’ biological characteristics-Reference-Cited by-同舟云学术

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Personalized clothing recommendation fusing the 4-season color system and users’ biological characteristics

Published:2023-07-11 Issue:5 Volume:83 Page:12597-12625
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Su Xueping^ORCID,Duan Jiawei,Ren Jie,Li Yunhong,Danner Michael,Rätsch Matthias,Peng Jinye

Funder

national natural science foundation of china

specialized research fund for the doctoral program of higher education of china

natural science foundation of shaanxi province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16014-4.pdf

Reference35 articles.

1. Ahonen T, Hadid A, Pietikainen M (2006) Face description with local binary patterns: application to face recognition. IEEE Trans Pattern Anal Mach Intell 28(12):2037–2041

2. Alzahrani T, Al-Nuaimy W, Al-Bander B (2019) “Hybrid Feature Learning and Engineering Based Approach for Face Shape Classification,” in International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS), pp. 1–4 https://doi.org/10.1109/ISACS48493.2019.9068910

3. Bansode NK, Sinha PK (2016) Face shape classification based on region similarity, correlation and fractal dimensions. Int J Comput Sci Issue (IJCSI) 13(1):24

4. Chen W, Huang P, Xu J, et al. (2019) “Personalized outfit generation for fashion recommendation at alibaba ifashion,” in Proc. of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2662–2670 https://doi.org/10.1145/3292500.3330652

5. Chen Y, Zhang Y, Huang Z, et al. (2021) CelebHair: a new large-scale dataset for hairstyle recommendation based on CelebA. arXiv preprint arXiv:2104.06885 https://doi.org/10.1007/978-3-030-82153-1_27

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