Security Model and Recommendation System for Online Businesses

Authors

  • Divya Jatain Assistant Professor, Department of Computer Science & Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India

Keywords:

Collaborative filtering, Unsupervised Machine Learning, Nodejs, Websocket association

Abstract

Electronic Commerce is interaction of carrying on with work through PC organizations. An individual sitting on his seat before PC can get to every one of the offices of the web to trade the items. Not at all like conventional business that is completed genuinely with exertion of an individual to proceed to get items, web-based business has made it more straightforward for human to diminish actual work and to save time. In this undertaking we look to carry out an internet-based clothing store. As we know that each business these days is moving towards web-based business model, so remembering that we look to carry out an internet-based store utilizing web advancement tech stack and innovations. The fundamental target of this application is to make it intelligent and its convenience. We trust that this undertaking, whenever carried out, an association can keep up with mechanized records in secure information bases without repetitive sections.

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Published

07-12-2022

Issue

Section

Articles

How to Cite

[1]
D. Jatain, “Security Model and Recommendation System for Online Businesses”, IJRESM, vol. 5, no. 12, pp. 12–15, Dec. 2022, Accessed: Dec. 21, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/2461