Research Article
Transfer Learning for Collaborative Filtering Using a Psychometrics Model
Algorithm 2
Transfer learning based on multidimensional psychometrics model (TLMPM).
Input: The data of the source domain denoted by and the training data set of the target domain denoted by . | Output: Parameters , , , and () of the target domain. | () Learn the parameters of the source domain by algorithm CFMPM using , and get parameters () of the | source domain. | () Set parameters () of the target domain equal to the parameters () of the source domain, | respectively. | () Initialize parameters , , , , and of the target domain. | () For each iteration | () Randomly permutate the data in . | () For each in . | () Compute by (15); | () Compute (; ) by (16); | () Update the parameters according to (17)–(19). | () End for | () Decrease , ; they are multiplied by 0.9. | () End for |
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