Building a Recommendation System for E-Commerce Using Machine Learning and Big Data Technologies-Reference-Cited by-同舟云学术

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Building a Recommendation System for E-Commerce Using Machine Learning and Big Data Technologies

Published:2023 Issue: Volume: Page:376-387
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Fatić Naida^ORCID,Krupić Mirza^ORCID,Jukić Samed^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-43056-5_27

Reference21 articles.

1. McAuley, J.: Amazon review data. https://jmcauley.ucsd.edu/data/amazon/. 10 Jan 2023

2. Product Management Exercises: How many reviews are left on Amazon on a given Monday? https://www.productmanagementexercises.com/4604/how-many-reviews-are-left-on-amazon-on-a-given-monday. 8 Jan 2023

3. Miryala, G., Gomes, R., Dayananda, K.: Comparative analysis of movie recommendation system using collaborative filtering in spark engine. J. Global Res. Comput. Sci. 8(10), 10–14 (2017)

4. Biswas, P.K., Liu, S.: A hybrid recommender system for recommending smartphones to prospective customers. Expert Sys. Appl. 208, 118058 (2022)

5. Roy, D., Dutta, M.: A systematic review and research perspective on recommender systems. J. Big Data 9(1), 1 (2022)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recommendation System Enhanced by Big Data Analytics;2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN);2024-05-03

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