Abstract
In this paper, the algorithm of late factor model is used to calculate the satisfaction degree of the target user to the product to be tested by using the known conditions obtained from big data, so as to design the most ideal user experience. Taking the user experience of app as an example, some known user experience values are hidden, and then the calculated values are calculated by the algorithm. Through the comparison of the two, the minimum relative error between the predicted user experience and the real value is only 0.617%, and the maximum is no more than 2.957%.
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