Mobile application recommendation method and device fusing multi-source reliable information

The invention relates to the field of recommendation, in particular to a mobile application recommendation method and device fusing multi-source reliable information, and the method comprises the steps: obtaining a mobile application sample and corresponding extension data; function information, permission information and context text information of each interface of an application sample are extracted and input into a sub-function classifier to obtain sub-function classification, and a preference value of a user to the application is obtained by combining time information and position information of the application used by the user; acquiring popularity information of the application, acquiring reliability of each piece of popularity data through a reliability classifier, and calculating popularity of the application; recommending the application to the user according to the preference value of the user for the application and the popularity of the application; according to the method, various sub-functions