Enhancing Apparel Data Based on Fashion Theory for Developing a Novel Apparel Style Recommendation System

  • Congying GuanEmail author
  • Shengfeng Qin
  • Wessie Ling
  • Yang Long
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 747)


Smart apparel recommendation system is a kind of machine learning system applied to clothes online shopping. The performance quality of the system is greatly dependent on apparel data quality as well as the system learning ability. This paper proposes (1) to enhance knowledge-based apparel data based on fashion communication theories and (2) to use deep learning driven methods for apparel data training. The acquisition of new apparel data is supported by apparel visual communication and sign theories. A two-step data training model is proposed. The first step is to predict apparel ATTRIBUTEs from the image data through a multi-task CNN model. The second step is to learn apparel MEANINGs from predicted attributes through SVM and LKF classifiers. The testing results show that the prediction rate of eleven predefined MEANING classes can reach the range from 80.1% to 93.5%. The two-step apparel learning model is applicable for novel recommendation system developments.


Apparel recommendation Body Style Visual communication system Apparel data Deep learning 


  1. 1.
    Vuruskan, A., et al.: Intelligent fashion styling using genetic search and neural classification. Int. J. Cloth. Sci. Technol. 27(2), 283–301 (2015)CrossRefGoogle Scholar
  2. 2.
    Liu, S., et al.: Hi, magic closet, tell me what to wear! In: Proceedings of the 20th ACM International Conference on Multimedia. ACM (2012)Google Scholar
  3. 3.
    Vaccaro, K., et al.: The elements of fashion style. In: Proceedings of the 29th Annual Symposium on User Interface Software and Technology. ACM (2016)Google Scholar
  4. 4.
    Kalantidis, Y., Kennedy, L., Li, L.-J.: Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos. In: Proceedings of the 3rd ACM Conference on International Conference on Multimedia Retrieval. ACM (2013)Google Scholar
  5. 5.
    Jagadeesh, V., et al.: Large scale visual recommendations from street fashion images. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM (2014)Google Scholar
  6. 6.
    Landia, N. Building recommender systems for fashion: industry talk abstract. In: Proceedings of the Eleventh ACM Conference on Recommender Systems. ACM (2017)Google Scholar
  7. 7.
    Bracher, C., Heinz, S., Vollgraf, R.: Fashion DNA: merging content and sales data for recommendation and article mapping. arXiv preprint arXiv:1609.02489 (2016)
  8. 8.
    de Barros Costa, E., et al.: Understanding and personalising clothing recommendation for women. In: Rocha, Á., et al. (eds.) Recent Advances in Information Systems and Technologies, vol. 1, pp. 841–850. Springer International Publishing, Cham (2017)Google Scholar
  9. 9.
    Kim, D., Kwon, Y.-B., Park, J.: A scoring model for clothes matching using color harmony and texture analysis. In: Graphics Recognition. New Trends and Challenges, pp. 218–227. Springer (2013)Google Scholar
  10. 10.
    Cheng, C.-I., Liu, D.S.-M.: An intelligent clothes search system based on fashion styles. In: 2008 International Conference on Machine Learning and Cybernetics. IEEE (2008)Google Scholar
  11. 11.
    Iwata, T., Wanatabe, S., Sawada, H.: Fashion coordinates recommender system using photographs from fashion magazines. In: IJCAI Proceedings-International Joint Conference on Artificial Intelligence. Citeseer (2011)Google Scholar
  12. 12.
    Barnard, M.: Fashion Theory: A Reader. Routledge, New York (2007)Google Scholar
  13. 13.
    McNeil, P., Karaminas, V.: The Men’s Fashion Reader. Berg Publishers, Oxford (2009)Google Scholar
  14. 14.
    Barnard, M.: Fashion as Communication. Psychology Press, Campbell (2002)Google Scholar
  15. 15.
    Blanc, O.: From battlefield to court: the invention of fashion in the fourteenth century. In: Encountering Medieval Textiles and Dress, pp. 157–172. Springer (2002)Google Scholar
  16. 16.
    Karaminas, V., Übermen: masculinity, costume, and meaning in comic book superheroes. In: McNeil, P., Karaminas, V. (eds.) The Men’s Fashion Reader. Berg Publishers (2009)Google Scholar
  17. 17.
    Edwards, T.: Men in the Mirror: Men’s Fashion, Masculinity, and Consumer Society. Bloomsbury Publishing, London (2016)Google Scholar
  18. 18.
    Rouse, E.: Understanding Fashion. BSP Professional Books, Oxford (1989)Google Scholar
  19. 19.
    Fiore, A.M.: Understanding Aesthetics for the Merchandising and Design Professional. Fairchild Books, New York (2010)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Congying Guan
    • 1
    Email author
  • Shengfeng Qin
    • 1
  • Wessie Ling
    • 1
  • Yang Long
    • 2
  1. 1.School of DesignNorthumbria UniversityNewcastle upon TyneUK
  2. 2.Open Lab, School of ComputingNewcastle UniversityNewcastle upon TyneUK

Personalised recommendations