Probability matrix decomposition recommendation method
A technology of probability matrix decomposition and recommendation method, which is applied in the fields of human-computer interaction, software engineering, and Internet cross-technology applications, and can solve problems such as low prediction accuracy, cold start, and sparse scoring.
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[0037] In the online social network, the present invention provides users with accurate recommendation scores in combination with related data such as user ratings on commodities and relationships between users. The following is based on figure 1 The present invention is described in more detail with embodiment, the graphical model of this method is as figure 2 shown.
[0038] 1. Obtain the user trust relationship matrix T and user product rating matrix R of the user in the online social network; the user trust relationship matrix T represents the trust relationship between users, and the user product rating matrix R represents the value of all users. product ratings;
[0039] 2. The user specifies the number of hidden features d based on experience, and then randomly generates a hidden user feature matrix U with d rows and m columns and a hidden trust relationship feature matrix Z with d rows and m columns according to the obtained number of users m. Ensure that the mean ...
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