Fuzzy Logic Based Product Comparison for Different E-Commerce Websites

Authors

  • Devashree Pravakar School of Computer Science and Engineering, Vellore Institute of Technology, Chennai
  • Vrinda Anil Thaker School of Computer Science and Engineering, Vellore Institute of Technology, Chennai
  • Rewa Abhyankar School of Computer Science and Engineering, Vellore Institute of Technology, Chennai
  • Praveen Joe I R School of Computer Science and Engineering, Vellore Institute of Technology, Chennai

Keywords:

price comparison sites, web scraping, email alerts, rating comparison

Abstract

In recent times, there has been a surge in the number of e-commerce websites available online. This makes it difficult for a user to decide which website to use when purchasing a particular product. In addition, keeping track of the sale and offers going on in these platforms is an arduous task. Sometimes, these websites have contrasting reviews for the same product. Keeping a check on all these factors for multiple websites takes a lot of time as well as energy, and is laborious. Therefore, we have created a website that combines the results from various e-commerce platforms and showcases the result together on a single webpage. This not only helps the user to make better decisions related to their purchase but also saves their valuable time. Moreover, we have added functionalities such as email alerts that make our website a multi-purpose all rounded product.

 

Author Biographies

Devashree Pravakar, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai

 

 

Vrinda Anil Thaker, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai

 

 

Rewa Abhyankar, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai

 

 

Praveen Joe I R, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai

 

 

Published

10-06-2023

How to Cite

Pravakar, D., Thaker, V. A., Abhyankar, R., & Joe I R, P. (2023). Fuzzy Logic Based Product Comparison for Different E-Commerce Websites. E-Business Technologies Conference Proceedings, 3(1), 106–111. Retrieved from https://ebt.rs/journals/index.php/conf-proc/article/view/146

Issue

Section

Big Data and Artificial Intelligence