Application recommendation method and server

Abstract

An embodiment of the invention provides an application recommendation method and a server. The method comprises the steps of: determining download frequency and user operation frequency of each application in a plurality of to-be-recommended applications; converting the download frequency and the user operation frequency of each application to the same order of magnitude, and obtaining the order of magnitude of the download frequency and the order of magnitude of the user operation frequency of each application; combining the order of magnitude of the download frequency of each application with a set download weight to obtain the download ordering weight value of each application, and combining the order of magnitude of the user operation frequency of each application with a set operation weight value to obtain the operation ordering weight value of each application; combining the download ordering weight value and the operation ordering weight value of each application to obtain the ordering weight value of each application; and determining the recommendation position order of each application in an application recommendation interface according to the ordering weight value of each application, and recommending the to-be-recommended applications in the application recommending interface by the recommendation position order. According to the method, the reasonable degree of application recommendation position setting is increased and the rationality of application recommendation is improved.

Description

technical field [0001] The invention relates to the technical field of information recommendation, in particular to an application recommendation method and server. Background technique [0002] With the popularization of smart operating systems such as Android (Android) and IOS, more and more applications are loaded on terminal equipment, so how to better provide application download services for terminal equipment is more and more important; The platform is a main way for terminal devices to download applications. The application download platform can sort the applications and display them on the application recommendation interface (the application recommendation interface includes the home page interface of the application download platform or the classification interface under specific categories, etc.); figure 1 Shown is a schematic diagram of an application recommendation interface. The application download platform can sort the applications on the homepage and displa...

AI Technical Summary

Problems solved by technology

[0004] The inventors of the present invention found in the research process that the applications ranked first in the recommendation position should be applications with high popularity and popularity at the user level, while the existing application recommendation methods may have a high number of downloads of applications However, it does not mean that the application has high popularity and popularity at the user level, especially when an application has a high number of downloads, but the number of downloads does not have high popularity and popularity at the user level. applications, occupy the top recommendation position for a long time, resulting in unreasonable application recommendation; therefore, the application recommendation position set by the existing application recommendation method is very likely to be different from the popularity and popularity of the application at the user level. Therefore, how to improve the rationality of application recommendation bit setting and improve the rationality of application recommendation has become a problem to be considered by those skilled in the art

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