Abstract
Growth of male fashion industry and escalating popularity of affordable street fashion wear has created a demand for the intervention of effective data analytics and recommender systems for male street wear. This motivated us to undertake extensive image collection of male subjects in casual wear and pose; assiduously annotate and carefully select discriminating features. We build up a classifier which predicts accurately the attractive quotient of an outfit. Further, we build a recommendation system - MalOutRec - which provides pointed recommendation of changing a part of the outfit in case the outfit looks unattractive (e.g. change the existing pair of trousers with a recommended one). We employ an innovative methodology that uses personalized pagerank in designing MalOutRec - experimental results show that it handsomely beats the metapath based baseline algorithm.
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Notes
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Collection of dress items, which aligns a person’s composite appearance with a desired social group, can be defined as a conformative outfit. A collection of dress items that are used to project a person’s unique identity, differentiating them from their peer group members in the society, can be defined as an individualistic outfit. The set of clothing items that projects a balance between social acceptance and unique personal identity can be defined as an average outfit [15].
References
Difference Between Mens and Womens Clothes. https://www.slideshare.net/coughwalrus92/difference-between-mens-and-womens-clothes
Cao, Y., Xu, J., Liu, T.Y., Li, H., Huang, Y., Hon, H.W.: Adapting ranking SVM to document retrieval. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 186–193 (2006)
Fouss, F., Pirotte, A., Renders, J.M., Saerens, M.: Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation. IEEE Trans. Knowl. Data Eng. 19(3), 355–369 (2007)
Hall, M.A.: Correlation-based feature selection for machine learning (1999)
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, pp. 1925–1934. ACM (2014)
Kiapour, M.H., Han, X., et al.: Where to buy it: matching street clothing photos in online shops. In: International Conference on Computer Vision (2015)
Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. J. ACM 46(5), 604–632 (1999)
Kohavi, R., John, G.H.: Wrappers for feature subset selection. Artif. Intell. 97(1), 273–324 (1997)
Leach, R.: Why men’s fashion is not like women’s fashion. http://www.telegraph.co.uk/men/fashion-and-style/10749463/Why-mens-fashion-is-not-like-womens-fashion.html
Lee, D., Park, S.E., Kahng, M., Lee, S., Lee, S.: Exploiting contextual information from event logs for personalized recommendation. In: Lee, R. (ed.) Computer and Information Science 2010. SCI, vol. 317, pp. 121–139. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15405-8_11
Lee, H., Lee, S.: Style recommendation for fashion items using heterogeneous information network. In: Poster Proceedings of the 9th ACM Conference on Recommender Systems (2015)
Lee, S., Song, S.I., Kahng, M., et al.: Random walk based entity ranking on graph for multidimensional recommendation. In: 5th ACM Conference on Recommender Systems, pp. 93–100. ACM (2011)
Liu, S., Song, Z., Liu, G., Xu, C., Lu, H., Yan, S.: Street-to-shop: cross-scenario clothing retrieval via parts alignment and auxiliary set. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 3330–3337 (2012)
Meng, X., Shi, C., Li, Y., Zhang, L., Wu, B.: Relevance measure in large-scale heterogeneous networks. In: Chen, L., Jia, Y., Sellis, T., Liu, G. (eds.) APWeb 2014. LNCS, vol. 8709, pp. 636–643. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11116-2_61
Niinimäki, K.: Green aesthetics in clothing. Artifact 3(3), 3.1–3.13 (2014)
Reilly, A., Rudd, N.A.: Shopping behaviour among gay men: issues of internalized homophobia and self-esteem. Int. J. Consum. Stud. 31(4), 333–339 (2007)
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Banerjee, D., Ganguly, N., Sural, S., Rao, K.S. (2018). One for the Road: Recommending Male Street Attire. In: Phung, D., Tseng, V., Webb, G., Ho, B., Ganji, M., Rashidi, L. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2018. Lecture Notes in Computer Science(), vol 10939. Springer, Cham. https://doi.org/10.1007/978-3-319-93040-4_45
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