Social network spam filtering method based on distributed matrix decomposition feature extraction
A social network and matrix decomposition technology, applied in the field of network garbage filtering, can solve the problems of coexistence of true and false data, massive and rapid dissemination, unbounded quantity, unreliability, etc.
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[0068] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.
[0069] The present invention is a social network spam filtering method based on distributed matrix decomposition feature extraction, such as figure 1 As shown, including the following steps:
[0070] Step S1: Construct a social network user-attribute matrix. The construction method of the social network user-attribute matrix is as follows:
[0071] Assuming there are n users and m attributes, the social network user-attribute matrix is constructed as a set of n users in the known social network And m attribute sets , A ij Represent user u i Pair attribute v j The metric value of the social network user-attribute matrix A A R n X m :
[0072]
[0073] Since in a social network, attributes are diverse, and each user usually has only a few attributes, the social network user-attribute matrix is a sparse matrix.
[0074] Step S2: Perform feature ext...
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