Intellectual Movie Recommendation System Using Supervised Machine Learning Method

Author:

Kumari PritiORCID,Dubey VandanaORCID

Publisher

Springer Nature Singapore

Reference23 articles.

1. Katore LS, Umale JS (2015) Comparative study of recommendation algorithms and systems using WEKA. Int J Comput Appl 110(3):14–17

2. Tewari AS, Kumar A, Barman AG (2014) Book recommendation system based on combine features of content based filtering. In: Collaborative filtering and association rule mining. IEEE, pp 500–503, 978-1-4799-2572-8

3. Mohamed MH, Khafagy MH, Ibrahim MH (2019) Recommender systems challenges and solutions survey. In: Proceedings of the 2019 international conference on innovative trends in computer engineering (ITCE) 2019 Feb 2. IEEE, pp 149–155

4. Gunawardana A, Shani G, Yogev S (2022) Evaluating recommender systems. Recommender systems handbook. Springer, New York, NY, pp 547–601

5. https://grouplens.org/datasets/movielens/. Accessed Dec 2022

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