Collaborative Filtering Recommendation Algorithm Based on AdaBoost-Naïve Bayesian Algorithm

Zuoxi Yang; Chengzhou Fu; Ronghua Lin; Tao Peng; Yong Tang

doi:10.1007/978-3-030-15127-0_39

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Collaborative Filtering Recommendation Algorithm Based on AdaBoost-Naïve Bayesian Algorithm

Zuoxi Yang Chengzhou Fu Ronghua Lin Tao Peng Yong Tang

Year: 2019 Lecture notes in computer science Pages: 380-392 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-15127-0_39

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Keywords:

Computer science AdaBoost Collaborative filtering Naive Bayes classifier Algorithm Artificial intelligence Bayesian probability Pattern recognition (psychology) Data mining Machine learning Recommender system Support vector machine

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Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Customer churn and segmentation

Social Sciences → Business, Management and Accounting → Marketing

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Collaborative Filtering Recommendation Algorithm Based on AdaBoost-Naïve Bayesian Algorithm

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