Collaborative filtering algorithm is the most widely used and recommended\nalgorithm in major e-commerce recommendation systems nowadays. Concerning\nthe problems such as poor adaptability and cold start of traditional\ncollaborative filtering algorithms, this paper is going to come up with improvements\nand construct a hybrid collaborative filtering algorithm model\nwhich will possess excellent scalability. Meanwhile, this paper will also optimize\nthe process based on the parameter selection of genetic algorithm and\ndemonstrate its pseudocode reference so as to provide new ideas and methods\nfor the study of parameter combination optimization in hybrid collaborative\nfiltering algorithm.
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