Collaborative filtering recommendation algorithm optimization method, device and medium

The invention discloses an optimization method of a collaborative filtering recommendation algorithm, equipment and a medium, belongs to the technical field of big data analysis and data mining, and is used for solving the problems that an existing collaborative filtering recommendation algorithm is...

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Hauptverfasser: SHEN CHUANWANG, ZHAO HAIXING, YANG PU, SUN YONGCHAO
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses an optimization method of a collaborative filtering recommendation algorithm, equipment and a medium, belongs to the technical field of big data analysis and data mining, and is used for solving the problems that an existing collaborative filtering recommendation algorithm is low in movie recommendation accuracy and difficult to realize wide-coverage recommendation for various types of movies, and the movie recommendation efficiency is low. The technical problems that the similarity between movies is unreasonable, and it is difficult for a user to experience a better personalized movie recommendation effect are solved. The method comprises the steps of obtaining an original movie data set; carrying out co-occurrence matrix addition processing on the original movie data set to obtain a co-occurrence vector related to movie similarity recommendation; carrying out proportion calculation on the similarity between various types of movies to obtain a first recommendation similarity; carrying