Application recommendation method and device and server equipment

Abstract

The invention discloses an application recommendation method and device and server equipment. The method comprises the steps that according to a behavior data list of application acquisition terminal equipment recently browsed and downloaded by terminal equipment, the list comprises a plurality of first application identifications and nearest behavior time of first applications; according to the degree of association between the first applications and second applications in a preset application bank, multiple corresponding second applications are obtained from the preset application bank to form an alternative application assembly; according to current time, the nearest behavior time of the first applications is unified to obtain initial weighted values of the first applications; according to the degree of association of the second applications, the first application identifications corresponding to the degree of the associations and the initial weighted values of the first applications, an application recommendation list is generated, the application recommendation list is sent to the terminal equipment to allow the terminal equipment to show the application recommendation list. According to the technical scheme, individualized recommendation can be achieved, and recommendation efficiency of the applications is effectively improved.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to an application recommendation method and device, and server equipment. Background technique [0002] With the continuous development of intelligent terminals and the continuous increase of people's demand for Internet applications, various applications used on terminals gradually come into people's field of vision, which facilitates people's lives. [0003] In the prior art, a large number of applications have already been logged on the platforms of major smart terminals, and the number of applications is very large, and there are also many new applications. Usually, end devices have no way of understanding these applications, and of course they will not download and use them. Each application provider recommends its new application or frequently used application to the terminal device through the application recommendation server, and introduces the functions of th...

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Problems solved by technology

[0004] In the process of implementing the present invention, the inventors found at least the following problems in the prior art: the existing application recommendation method is entirely based on the frequency of application use by the application provider through the application recommendation server or the new application that the application provider wants to promote , to recommend applications to terminal devices, and these recommended applications are often not the applications required by the terminal device. Therefore, the application recommendation efficiency in the prior art solution is low

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