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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Бібліографічні деталі
Автори:	Neelamadhab Padhy, Sridev Suman, T Sanam Priyadarshini, Subhalaxmi Mallick
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2024-09-01
Серія:	Engineering Proceedings
Предмети:	E-commerce recommendation system Apriori algorithm FP-Growth association rule mining collaborative filtering (SVD, SVD+, ALS)
Онлайн доступ:	https://www.mdpi.com/2673-4591/67/1/50
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A Recommendation System for E-Commerce Products Using Collaborative Filtering Approaches

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