COMPARATIVE ANALYSIS OF REGRESSION AND COLLABORATIVE FILTERING MODELS FOR RECOMMENDATION SYSTEMS: AN EMPIRICAL STUDY

COMPARATIVE ANALYSIS OF REGRESSION AND COLLABORATIVE FILTERING MODELS FOR RECOMMENDATION SYSTEMS: AN EMPIRICAL STUDY

Recommendation systems are very crucial for enhancing the utility of a given product and or service for a specific user in different fields. This paper focuses on the comparison of various filtering techniques in order to determine their effectiveness in identifying the preferences of the user. The...

Full description

Saved in:
Bibliographic Details
Main Authors: Nisha Bali, Kulvinder Singh, Sanjeev Dhawan
Format: Article
Language:English
Published: Institute of Mechanics of Continua and Mathematical Sciences 2025-02-01
Series:Journal of Mechanics of Continua and Mathematical Sciences
Subjects:
collaborative filtering
recommendation system
user-based
item-based
model comparison.
Online Access:https://jmcms.s3.amazonaws.com/wp-content/uploads/2025/02/17070726/jmcms-2502027-COMPARATIVE-ANALYSIS-OF-REGRESSION-NB-1.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://jmcms.s3.amazonaws.com/wp-content/uploads/2025/02/17070726/jmcms-2502027-COMPARATIVE-ANALYSIS-OF-REGRESSION-NB-1.pdf

Similar Items