A Study on Product Recommendation System based on Deep Learning and Collaborative Filtering
Author:
Affiliation:
1. Govt. College of Engineering,Department of Computer Science & Engineering,Amravati,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10117587/10117572/10117628.pdf?arnumber=10117628
Reference10 articles.
1. Self Attentive Product Recommender – A Hybrid Approach with Machine Learning and Neural Network
2. RecNN: A Deep Neural Network based Recommendation System
3. Deep learning with consumer preferences for recommender system
4. A Recommender System Based on Deep Neural Network and Matrix Factorization for Collaborative Filtering
5. Deep Learning Based Recommender Systems
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1. E-commerce-based Smart Recommendation System using element-by-element collaborative filtering following with the Machine Learning Technology;2024 International Conference on Communication, Computing and Internet of Things (IC3IoT);2024-04-17
2. Collaborative Filtering Recommendation Systems Based on Deep Learning: An Experimental Study;Lecture Notes in Networks and Systems;2024
3. Personalized product ranking system for enhanced user experience;MATEC Web of Conferences;2024
4. Product Recommendation using Deep Learning in Computer Vision;2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS);2023-08-25
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