A Recommendation System for E-Commerce Products Using Collaborative Filtering Approaches

A Recommendation System for E-Commerce Products Using Collaborative Filtering Approaches

The objective of this article is to recommend products using association rule mining from an E-commerce site. This helps us to recommend products through utilizing the filtering concept. In this article, we use the Apriori and FP-Growth algorithms. Our model not only suggests products but also gives...

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Bibliographic Details
Main Authors: Neelamadhab Padhy, Sridev Suman, T Sanam Priyadarshini, Subhalaxmi Mallick
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Engineering Proceedings
Subjects:
E-commerce
recommendation system
Apriori algorithm
FP-Growth
association rule mining
collaborative filtering (SVD, SVD+, ALS)
Online Access:https://www.mdpi.com/2673-4591/67/1/50
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