Research on Collaborative Filtering Personalized Recommendation Algorithm Based on Deep Learning Optimization
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In order to improve the accuracy of the project in the recommendation process, the article compares the existing content-based and collaborative filtering recommendation calculations, makes full use of the advantages of different algorithms, and proposes a collaborative filtering personalized recommendation algorithm based on deep learning optimization. Through the deep learning training of users' preferences, the corresponding parameters are adjusted to establish a personalized recommendation method. Through experimental verification, the proposed algorithm can effectively improve the quality of personalized recommendation.
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