Abstract
The fashion domain has been one of the most growing areas of e-commerce, hence the issue of facilitating cloth searching in fashion-related websites becomes an important topic of research. The paper deals with measuring the similarity between items of clothing and between complete outfits, based on the semantic description prepared by users and experts according to a previously developed fashion ontology. Proposed approach deals with different types of attributes describing clothes and allows for calculating similarity between the whole outfits in a domain-aware manner. Exemplary results of experiments performed on real clothing datasets are presented.
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References
Chen, H., Gallagher, A., Girod, B.: Describing clothing by semantic attributes. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part III. LNCS, vol. 7574, pp. 609–623. Springer, Heidelberg (2012)
Chen, Q., Li, J., Liu, Z., Lu, G., Bi, X., Wang, B.: Measuring clothing image similarity with bundled features. Int. J. Cloth. Sci. Technol. 25(2), 119–130 (2013)
Di, W., Wah, C., Bhardwaj, A., Piramuthu, R., Sundaresan, N.: Style finder: Fine-grained clothing style detection and retrieval. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 8–13. IEEE (2013)
Finnie, G., Sun, Z.: Similarity and metrics in case-based reasoning. Int. J. Intell. Syst. 17(3), 273–287 (2002)
Liao, T.W., Zhang, Z., Mount, C.R.: Similarity measures for retrieval in case-based reasoning systems. Appl. Artif. Intell. 12(4), 267–288 (1998)
Liu, Z., Wang, J., Chen, Q., Lu, G.: Clothing similarity computation based on tlac. Int. J. Cloth. Sci. Technol. 24(4), 273–286 (2012)
Zhang, W., Begole, B., Chu, M., Liu, J., Yee, N.: Real-time clothes comparison based on multi-view vision. In: Second ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2008, pp. 1–10. IEEE (2008)
Acknowledgements
The project “Construction of innovative recommendation based on users styles system prototype: FireStyle” (original title: “Zbudowanie prototypu innowacyjnego systemu rekomendacji zgodnych ze stylami uytkownikw: FireStyle”) is co-founded by European Union (project number: UDA-POIG.01.04.00-30-196/12, value: 14.949.474,00 PLN, EU contribution: 7.879.581,50 PLN, realization period: 01.2013–10.2014). European funds – for the development of innovative economy (Fundusze Europejskie – dla rozwoju innowacyjnej gospodarki).
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Frejlichowski, D., Czapiewski, P., Hofman, R. (2016). Finding Similar Clothes Based on Semantic Description for the Purpose of Fashion Recommender System. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_2
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DOI: https://doi.org/10.1007/978-3-662-49381-6_2
Publisher Name: Springer, Berlin, Heidelberg
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