Neighborhood-based mobile subscriber basic attribute forecasting method

• Main Authors: XIA YONG, QIN ZHEN, CHENG HONG RONG
• Format: Patent
• Language: English
• Published: 14.01.2015
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention relates to a neighborhood-based mobile subscriber basic attribute forecasting method for forecasting basic attributes, such as age and gender, of a subscriber by analyzing a browse content of the mobile subscriber. The method comprises the following steps: classifying the browse behaviors of the subscriber, started from a browse log of the subscriber, thereby acquiring a click matrix of the subscriber; acquiring a relation feedback matrix of the subscriber by adopting an SVD method; analyzing the relation between the browse behaviors of the subscriber and the subscriber, thereby forecasting the basic attribute of the subscriber through the browse behaviors of the subscriber; adopting an SVM model for realizing the classifying forecasting for the basic attribute of the subscriber. According to the invention, the gender of the subscriber is treated as male and female two-classification problem and the age division is treated as multi-classification problem. The method disclosed by the embodiment of the invention has the beneficial effects that the basic attributes, such as gender and age, of the subscriber can be forecast by analyzing the browse behaviors of the mobile subscriber, the accuracy of the forecasting for the age is above 80% and the accuracy of the forecasting for the gender is above 85%.