The correlation indicator, Maximum Information Coefficient (MIF), which can pervasively measure the nonlinear relationship, is introduced to solve the problem of inaccurate selection of the near-neighbor set of the target users. The indicator is employed to measure the similarity between users. First, the near-neighbor set target users is selected based on a given threshold. Then, the personalized SVM prediction model is built with the attained near-neighbor set as the training set to carried out scoring prediction for the interesting items of ...
