A Flask based Application for Recommending the Similar Kind of Dresses

  • Abstract
  • Keywords
  • References
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  • Abstract

    The growth of online social networks and the amount of information shared through it are immense in the recent years. It provides information in all fields such as education, sports, fashion, etc and also updates us with all the latest news that is happening around the world. Some of the popular social media sites are Facebook, Twitter, Instagram and it has become a platform for people to easily communicate and share information.  Nowadays business people use social media as their means for communication. Fashion industry is one of the businesses which frequently changes and the social media is considered to be as the cheapest and easiest means to communicate. Hence an application is created which obtains the photos of the user from their facebook account and suggests the similar kind of dresses based on their collection of dresses.


  • Keywords

    Dress, social networking, fashion.

  • References

      [1] https://code.tutsplus.com/tutorials/creating-a-web-app-from-scratch-using-python-flask-and-mysql--cms-22972

      [2] https://github.com/mitsuhiko/flask-oauth/blob/master/example/facebook.py

      [3] T. Ahonen, A. Hadid, and M. Pietikainen, Face description with local binary patterns: Application to face recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence, 28(12):2037–2041, 2006

      [4] http://blog.untrod.com/2016/06/simple-similar-products-recommendation-engine-in-python.html

      [5] S.Sheeba Rani, R.Maheswari, V.Gomathy and P.Sharmila, “Iot driven vehicle license plate extraction approach” in International Journal of Engineering and Technology(IJET) , Volume.7, pp 457-459, April 2018

      [6] https://github.com/groveco/content-engine

      [7] FaizanAhamed, AaimaNajam, ZeeshanAhmed, Image based Face Recognition and Detection: “State of the Art”, International Journal of Computer Science Issues

      [8] Frejlichowski D, Czapiewski P, Hofman R. Finding Similar Clothes Based on Semantic Description for the Purpose of Fashion Recommender System. Asian Conference on Intelligent Information and Database Systems[C]. Springer Berlin Heidelberg, 2016.

      [9] R.Maheswari, S.Sheeba Rani, V.Gomathy and P.Sharmila, “Real Time Environment Simulation through Virtual Reality” in International Journal of Engineering and Technology(IJET) , Volume.7, No.7, pp 404-406, April 2018

      [10] K. T. Talele, S. Kadam, A. Tikare, Efficient Face Detection using Adaboost, “IJCA Proc on InternationalConference inComputational Intelligence”, 2012

      [11] Dipon Kumar Ghosh , Prithwika Banik , Dr. S. Balakrishnan (2018), Review-Guppy: A Decision-Making Engine for Ecommerce Products Based on Sentiments of Consumer Reviews”, International Journal of Pure and Applied Mathematics, Volume 119, No. 12, 2018, pp.1135-1141.

      [12] S. Balakrishnan, A. Jebaraj Rathnakumar and K. N. Sivabalan, “Information Security in D-Media (Digital Media)”, ARPN Journal of Engineering and Applied Sciences. May 2016, Vol. 11, No. 9, pp. 5707- 5710.




Article ID: 22080
DOI: 10.14419/ijet.v7i4.19.22080

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