Abstract
In this paper, we introduce an approach for clothing personalized recommendation system that is able to recommend clothing items to women, according to their fashion styles and body types. Thus, our recommendation approach includes three main modules: one for automatically identifying the fashion style, the other for detecting body type, and the third is responsible for recommending clothing categories with models linked to clothing images. Thus, it allows the women to select appropriate clothing options, considering clothing categories that include: dresses, coats, tops, sweaters, jackets. We have evaluated our recommendation approach and preliminary results indicate that it significantly supports the users with adequate clothing choices.
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References
Jagadeesh, V., Piramuthu, R., Bhardwaj, A., Di, W., Sundaresan, N.: Large scale visual recommendations from street fashion images. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2014 (2014)
He, R., McAuley, J.: Ups and downs: modeling the visual evolution of fashion trends with one-class collaborative filtering. In: 25th International World Wide Web Conference, WWW 2016 (2016)
Sha, D., Wang, D., Zhou, X., Feng, S., Zhang, Y., Yu, G.: An approach for clothing recommendation based on multiple image attributes. In: Cui, B., Zhang, N., Xu, J., Lian, X., Liu, D. (eds.) WAIM 2016. LNCS, vol. 9658, pp. 272–285. Springer, Cham (2016). doi:10.1007/978-3-319-39937-9_21
Aguiar, T.: Personal Stylist: Guia para consultores de imagem. Editora Senac São Paulo, São Paulo (2003)
Fukuda, M., Nakatani, Y.: Clothes recommend themselves: a new approach to a fashion coordinate support system. In: Proceedings of the World Congress on Engineering and Computer Science (WCECS) (2011)
Tu, Q., Dong, L.: An intelligent personalized fashion recommendation system. In: Proceedings of the International Conference on Communications, Circuits and Systems (ICCCAS), pp. 479–485 (2010)
Vogiatzis, D., et al.: Expert and community based style advice. Expert Syst. Appl. Int. J. 39(12), 10647–10655 (2012)
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de Barros Costa, E., Rocha, H.J.B., Silva, E.T., Lima, N.C., Cavalcanti, J. (2017). Understanding and Personalising Clothing Recommendation for Women. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-319-56535-4_82
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DOI: https://doi.org/10.1007/978-3-319-56535-4_82
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Online ISBN: 978-3-319-56535-4
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