Personalized product ranking system for enhanced user experience

Personalized product ranking system for enhanced user experience

Businesses looking to engage and satisfy their online audience must prioritize the user experience in the quickly changing digital landscape. In order to address this challenge, this project proposes and implements a sophisticated algorithmic solution designed to produce extremely accurate and user-...

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Bibliographic Details
Main Authors: Santhosh Puri, Ashweej Ailineni, Agarwal Gireesh, Dilip Raj Gandla
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:MATEC Web of Conferences
Subjects:
personalized recommendations
data science
machine learning
user-centric
product rankings
user pref- erences
dynamic simulation environment
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2024/04/matecconf_icmed2024_01077.pdf

Internet

https://www.matec-conferences.org/articles/matecconf/pdf/2024/04/matecconf_icmed2024_01077.pdf

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