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RS on video games based on item-based collaborative filtering algorithm
- 1 Chengdu University of Technology, Department of Software Engineering
* Author to whom correspondence should be addressed.
Abstract
With the rapid development of the Internet and e-commerce, recommender systems have received great attention and wide application in this environment. Because it is difficult for people to choose the one that they like in the face of the dazzling array of items on the Internet, and these e-commerce sites also need to consider how to improve efficiency, the recommendation system is an excellent solution. This paper mainly reviewed the development of recommender systems, focusing on the research and experiments of a recommender system based on an item-based collaborative filtering algorithm. According to the experimental results and some previous studies, summarizing the advantages and disadvantages of this method, proposing some solutions, and pointing out some problems that will be faced by future researches on recommendation systems.
Keywords
Recommendation system, Collaborative filtering, Item-based Collaborative filtering
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Cite this article
Zhu,H. (2023). RS on video games based on item-based collaborative filtering algorithm. Applied and Computational Engineering,5,11-17.
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Volume title: Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
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