Abstract: A method and a system for processing recommended software are disclosed. A cluster analysis module performs a cluster analysis for users based on software using information reported by the users, and determines a software list corresponding to each user cluster, and sort software in the software list according to using condition of the software. A recommendation module determines a user cluster that is the most relevant to a specific user based on software using information of the specific user, and selects top N pieces of software from a software list corresponding to the user cluster to recommend the selected top N pieces of software to the specific user, where N is a predefined value.

Abstract: A method and a system for processing recommended software are disclosed. A cluster analysis module performs a cluster analysis for users based on software using information reported by the users, and determines a software list corresponding to each user cluster, and sort software in the software list according to using condition of the software. A recommendation module determines a user cluster that is the most relevant to a specific user based on software using information of the specific user, and selects top N pieces of software from a software list corresponding to the user cluster to recommend the selected top N pieces of software to the specific user, where N is a predefined value.

Abstract: A method and a system for processing recommended software are disclosed. A cluster analysis module performs a cluster analysis for users based on software using information reported by the users, and determines a software list corresponding to each user cluster, and sort software in the software list according to using condition of the software. A recommendation module determines a user cluster that is the most relevant to a specific user based on software using information of the specific user, and selects top N pieces of software from a software list corresponding to the user cluster to recommend the selected top N pieces of software to the specific user, where N is a predefined value.

Abstract: A method and a system for processing recommended software are disclosed. A cluster analysis module performs a cluster analysis for users based on software using information reported by the users, and determines a software list corresponding to each user cluster, and sort software in the software list according to using condition of the software. A recommendation module determines a user cluster that is the most relevant to a specific user based on software using information of the specific user, and selects top N pieces of software from a software list corresponding to the user cluster to recommend the selected top N pieces of software to the specific user, where N is a predefined value.

Abstract: A software installation method, device and system. The method includes: downloading a software installation package; detecting type of the software installation package; installing the software installation package in a parallel software installation mode if the type of the software installation package is not Microsoft Installer (MSI) type; and installing the software installation package in a serial software installation mode if the type of the software installation package is the MSI type.

Abstract: A method for proving a quick launch access includes: acquiring position information of a Taskbar in an operation interface; creating a self-defined quick launch window, and providing a quick launch access in the self-defined quick launch window; arranging the self-defined quick launch window adjacent to a Start menu bar in the operation interface according to the position information of the Taskbar; and detecting a change of the Taskbar periodically, and adjusting a position of the self-defined quick launch window according to the change of the Taskbar. Further, a device for providing a quick launch access and a storage medium are provided. With the technical solution stated above, the user operation can be improved efficiency.