Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
Krishna Agrawal Shubham Bhavsar Mrunali Inamdar Anagha Chaudhari
Abstract
A Recommender System Aims To Provide Users With Personalized Online Product Or Service Recommendations To Handle The Increasing Online Information Overload Problem And Improve Customer Relationship Management. Given The Huge Amount And Heterogeneity Of On
Keywords
Music
User Based
Item Based
Content-based Recommendation
Collaborative Filtering
Deep Content-based.
Paper ID
IJSARTV5I531358
Publication Date
May 6, 2019
Research Area
Information Technology