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Research on movie recommendation algorithms based on machine learning
- 1 Taiyuan University of Technology, School of Software, Software Engineering, Taiyuan, China, 030000
* Author to whom correspondence should be addressed.
Abstract
In recent years, the number of movies released worldwide has grown exponentially. Due to the large number of movies, it is difficult for users to find movies that match their preferences. Therefore, with the development of Internet technology, it has become an important research direction how to filter out the movies that users are interested in from the massive movie data. This paper mainly focuses on the film recommendation algorithms based on machine learning, including the traditional collaborative filtering algorithm, rating-based sorting recommendation algorithm and content-based recommendation algorithm. By conducting a detailed analysis of the principles, advantages and disadvantages, as well as application scenarios of these recommendation algorithms, this paper aims to identify methods that best fit current movie recommendation systems. The objective is to improve the real-time and personalized recommendation, while providing users with better film recommendation services.
Keywords
Movie recommendations, machine learning, collaborative filtering, recommendation algorithm
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Cite this article
Wang,K. (2024). Research on movie recommendation algorithms based on machine learning. Applied and Computational Engineering,71,7-13.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 6th International Conference on Computing and Data Science
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