Online E-commerce Venture - Choose The Best

  • Vidya Zope
  • Divya Borse
  • Divya Kalwani
  • Drishti Parchani
  • Suraj Gangwani

Abstract

This paper entitled 'E-commerce venture -choose the best' plays a key role in the upliftment of digitization and automation of small-scale businesses. The majority of the small businesses in India don't have a website according to the survey conducted by GoDaddy-world's largest technology services provider. In short, the proposed system aims at building online e-commerce ventures to satisfy the needs of small businesses and enterprises by providing extensive machine learning features.

Keywords: Recommender system, Online business, Online system, Users, Data processing, Security, E-commerce.

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References

1. Syed Emdad Ullah,Tania Alauddin,Developing an E-commerce website - IEEE Conference Publication , 2016
2. Dr. Shahid Amin Bhat,Keshav Kansana,A Review Paper on E-Commerce, 2016
3. Jatinder Kaur,S.K. Gupta,Rajeev Kumar Bedi,Product Recommendation Systems a Comprehensive Review , 2018
4. Shahab Sohail,Rashid Ali,Product Recommendation Techniques for Ecommerce - past, present and future,2012
5. Majority of Small Businesses in India Don’t Have a Website: GoDaddy Survey Reports
6. Machine Learning For Ecommerce: How Does it Work?
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How to Cite
Zope, V., Borse, D., Kalwani, D., Parchani, D., & Gangwani, S. (2021). Online E-commerce Venture - Choose The Best. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 7(1), 38-43. https://doi.org/10.33130/AJCT.2021v07i01.009