Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
Smita Jawale Rahul Meher Avani Mehta Trupthi Shetty
Abstract
Recommendation Systems Have Become Popular Over Past Few Decades As They Deal With The Large Amount Of Information. They Provide A Mechanism To Assist Users In Categorizing Users With Similar Interests. This Makes Recommender Systems An Important Chunk Of
Keywords
Collaborative Filtering
Content-based Filtering
Hybrid Approach
Movie Database.
Paper ID
IJSARTV3I38737
Publication Date
March 30, 2017
Research Area
Computer Engineering