Method for determining Internet surfing behavior categories of network users

The invention provides a method for determining Internet surfing behavior categories of network users. The method comprises the steps that Internet surfing behavior features of all the network users to be detected are extracted, and a user behavior feature matrix X is formed through a quantitative m...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Duan Dongsheng, Ren Yan, Tong Lingling, Cha Jiwen, Li Pengxiao, Niu Yan, Liu Xiaohui, Yi Li, Du Cuilan
Format: Patent
Sprache:chi ; eng
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Beschreibung
Zusammenfassung:The invention provides a method for determining Internet surfing behavior categories of network users. The method comprises the steps that Internet surfing behavior features of all the network users to be detected are extracted, and a user behavior feature matrix X is formed through a quantitative method of a document vector space model; according to the user behavior feature matrix X, a behavior tendency set T and a user-tendency probability distribution matrix D are obtained through a probability latent semantic analysis PLSA and an EM algorithm; according to the user behavior feature matrix X, a feature word-category probability distribution matrix C is obtained through a support vector machine (SVM) algorithm; T*C runs through matrix multiplication to obtain a tendency-category mapping matrix M; D*M runs through matrix multiplication to obtain a user-category probability distribution matrix Y; according to the probability distribution situation of any network user to be detected in the categories, the net