Machine Learning Enabled Hairstyle Recommender System Using Multilayer Perceptron
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7862-5_20
Reference21 articles.
1. Pasupa, K., Sunhem, W., & Loo, C. K. (2019). A hybrid approach to building face shape classifier for hairstyle recommender system. Expert Systems with Applications, 120, 14–32.
2. Liu, Z., Ji, Y., Hu, Y., & Zhan, T. (2019, December). Design and implementation of hair recommendation system based on face recognition. In 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019) (pp. 180–183). Atlantis Press.
3. Weerasinghe, H., & Vidanagama, D. (2020, December). Machine learning approach for hairstyle recommendation. In 2020 5th International Conference on Information Technology Research (ICITR) (pp. 1–4). IEEE.
4. Doshi, M., Shah, J., Soni, R., & Bhambar, S. (2022, January). FHP: Facial and hair feature processor for hairstyle recommendation. In 2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC) (pp. 1–4). IEEE.
5. Sunhem, W., Pasupa, K., & Jansiripitikul, P. (2016, May). Hairstyle recommendation system for women. In 2016 Fifth ICT International Student Project Conference (ICT-ISPC) (pp. 166–169). IEEE.
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