Product Recommendation System using SVD and Machine Learning techniques

E-commerce Recommendation System Machine Learning Similarity-based Collaborative Filtering Product-based Filtering

Authors

  • Joanne Lim Jo En Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
  • Chong Kae Li Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
  • Davina Lim Zhe Yen Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
  • Chan Vern Jian Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
  • Zailan Arabee Bin Abdul Salam
    zailan@apu.edu.my
    Asia Pacific University of Technology and Innovation (APU) Kuala Lumpur, Malaysia
Vol. 8 No. 1 (2024)
Original Research
January 10, 2026

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Recommendation system is commonly used in many areas. Machine learning is the new trend in the field of analysis data. In this study, recommendation system is also applied to machine learning; the AI methods implemented in this recommendation system are Collaborative Filtering and Content-based Filtering. The demonstration of the result is present in this study too. The articles reference a few papers: Crop Plantation Recommendation using Feature, Product Based Recommendation System Using Machine Learning Techniques, Product recommendation based on shared customer’s behaviour, recommender systems enhancement using deep reinforcement learning.