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Recommendation Algorithm Based on probabilistic matrix factorization with Adaboost

Computers, Materials & Continua 2020年第11期65卷 1591-1603页

作者： Hongtao Bai Xuan Li Lili He Longhai Jin Chong Wang Yu Jiang College of Computer Science and Technology Jilin UniversityChangchun130012China Symbol Computation and Knowledge Engineer of Ministry of Education Jilin UniversityChangchun130012China Department of Engineering Mechanics State Marine Technical University of St.PetersburgSt.Petersburg190008Russia

A current problem in diet recommendation systems is the matching of food preferences with nutritional requirements,taking into account individual characteristics,such as body weight with individual health conditions,such as *** dietary recommendations employ association rules,content-based collaborative filtering,and constraint-based methods,which have several *** limitations are due to the existence of a special user group and an imbalance of non-simple *** use of traditional dietary recommendation algorithm researches,we combine the Adaboost classifier with probabilistic matrix *** present a personalized diet recommendation algorithm by taking advantage of probabilistic matrix factorization via Adaboost.A probabilistic matrix factorization method extracts the implicit factors between individual food preferences and nutritional *** this,we can make use of those features with strong influence while discarding those with little *** incorporating these changes into our approach,we evaluated our algorithm’s *** results show that our method performed better than others at matching preferred foods with dietary requirements,benefiting user health as a *** algorithm fully considers the constraint relationship between users’attributes and nutritional characteristics of *** many complex factors in our algorithm,the recommended food result set meets both health standards and users’dietary preferences.A comparison of our algorithm with others demonstrated that our method offers high accuracy and interpretability.

关键词： Recommendation probabilistic matrix factorization Adaboost characteristics correlation

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