1. A method for pushing information, comprising: obtaining and storing a microblog message published through an Instant Messaging client by a user; scanning the stored microblog message and obtaining one or more keyword(s) of the microblog message according to a preset extracting policy; and determining an application scene of the user according to the obtained keyword(s), matching the application scene with the corresponding prestored help information thereof, and obtaining and pushing the matched help information; wherein the determining the application scene of the user according to the obtained keyword(s), the matching the application scene with the corresponding prestored help information thereof, and the obtaining and pushing the matched help information comprise: in the keyword lists corresponding to various application scenes, determining one keyword list that most matches the obtained keyword(s), and setting an application scene corresponding to the determined keyword list as the application scene of the user; and determining the first level of the menus of the help information corresponding to the application scene of the user; according to the one or more keyword(s) comprised in the first level of the menus, traversing the obtained keyword(s) and determining the first level to which the obtained keyword(s) belong(s); according to keywords comprised in a second level of the menus of the help information, traversing the obtained keyword(s) and determining the second level to which the obtained keyword(s) belong(s); continuing traversing till the obtained keyword(s) include(s) no keyword of any corresponding menu; and pushing the help information corresponding to the upper level menu of the last determined menu.
1. A method for pushing information, comprising: obtaining and storing a microblog message published through an Instant Messaging client by a user; scanning the stored microblog message and obtaining one or more keyword(s) of the microblog message according to a preset extracting policy; and determining an application scene of the user according to the obtained keyword(s), matching the application scene with the corresponding prestored help information thereof, and obtaining and pushing the matched help information; wherein the determining the application scene of the user according to the obtained keyword(s), the matching the application scene with the corresponding prestored help information thereof, and the obtaining and pushing the matched help information comprise: in the keyword lists corresponding to various application scenes, determining one keyword list that most matches the obtained keyword(s), and setting an application scene corresponding to the determined keyword list as the application scene of the user; and determining the first level of the menus of the help information corresponding to the application scene of the user; according to the one or more keyword(s) comprised in the first level of the menus, traversing the obtained keyword(s) and determining the first level to which the obtained keyword(s) belong(s); according to keywords comprised in a second level of the menus of the help information, traversing the obtained keyword(s) and determining the second level to which the obtained keyword(s) belong(s); continuing traversing till the obtained keyword(s) include(s) no keyword of any corresponding menu; and pushing the help information corresponding to the upper level menu of the last determined menu. 5. The method according to claim 1 , further comprising: according to location information or a user ID comprised in a microblog message body of the microblog message, obtaining a stored basic profile of the user; rematching the obtained basic profile of the user with the help information obtained by the matching, and pushing the help information obtained by the rematching.