A social recommendation method based on the spread of social influence
A recommended method and influential technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of sparse data sets and only consider influence, and achieve the effect of improving accuracy and accuracy
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[0039] In this example, figure 1 As shown, a social recommendation method based on social influence propagation is to comprehensively consider the contribution of social influence propagation and user history rating items to the user fusion feature matrix, which alleviates the data set sparsity problem in the traditional recommendation model, and user Precise item recommendation; the steps are as follows:
[0040] Step 1. Construct the user's rating matrix R for items and the social relationship matrix S between users:
[0041] Let U denote the user set, and U={u 1 ,...,u a ,...,u e ,...,u N},u a Indicates the ath user, u e Represents the eth user, a≠e, 1≤a, e≤N, N represents the total number of users; let V represent the item set, and V={v 1 ,...,v i ,...,v M},v i Represents the i-th item, 1≤i≤M, M represents the total number of items; let r ai Indicates the ath user u a For the ith item v i The rating value of the user's rating matrix for the item is R={r ai} ...
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