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Research on Parameter Optimization in Collaborative Filtering Algorithm
2018
Communications and Network
Collaborative filtering algorithm is the most widely used and recommended algorithm in major e-commerce recommendation systems nowadays. Concerning the problems such as poor adaptability and cold start of traditional collaborative filtering algorithms, this paper is going to come up with improvements and construct a hybrid collaborative filtering algorithm model which will possess excellent scalability. Meanwhile, this paper will also optimize the process based on the parameter selection of
doi:10.4236/cn.2018.103009
fatcat:za4ikbod4nburdgqhaamwcbyae