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Last Updated: 18 July 2022

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Employment of Machine Learning and Data Mining Technique in Hybrid Recommender System: A Comprehensive Survey

The Recommender system has become a popular data filtering device that minimizes data entry for web users, making it a dependable data filtering device. Hybrid recommender systems consolidate at least two recommendation algorithms in order to improve overall system performance while still maintaining strategic constraints from specific limitations and issues of pure recommender systems. The more significant part of the investigations is related to collaborative filtering with another machine learning tactic. The Hybrid recommender system is a hot topic in the digital age, and it represents newer challenges to the researcher, including parallel hybrid algorithm, cross recommendation, and scalability.

Source link: https://doi.org/10.1007/978-981-19-0098-3_49

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions