Abstract: A method and a device for recommendation of media content are described. The method includes: calculating scores of media content labels in a computer media content library; in descending order of the scores, selecting a first threshold media content label as a candidate media content label; for the candidate media content label, finding out a media content corresponding to the candidate media content label from the media content library; for the media content corresponding to the candidate media content label, in descending order of the amount of page views, selecting a second threshold media content as a media content to be recommended corresponding to the candidate media content label; and recommending the media content to be recommended corresponding to the candidate media content label to a user. The method and device can recommend popular media contents to users, and reduce the style difference between the media contents.

Abstract: The described technology provides a method and device for data screening, and solves the technical problem that the user needs to return to the check box interface to reset the screen element and thus the operation steps are cumbersome. The method for data screening comprises: screening raw data according to a first screen element to obtain a first result subset, the first result subset belonging to the raw data and being corresponding to the first screen element; displaying the first result subset and an element list and receiving a second screen element selected by a user according to the element list; screening the first result subset according to the second screen element to obtain a second result subset, the second result subset belonging to the raw data and being corresponding to the second screen element; displaying the second result subset. The described technology is mainly applied during the process of data statistics and screening.

Abstract: Devices and methods are provided for preventing user churn, wherein the methods include: collecting target user data corresponding to one or more target users associated with a target application program (101), the target user data including user basic attribute information, user behavioral indicator information and user active indicator information; determining a target user type of the one or more target users based on at least information associated with the target user data of the one or more target users (102), the target user type including a normal active user, an approximately silent user and a silent user; and in response to the target user type of the one or more target users being an approximately silent user, pushing first data for promoting activeness to the one or more target users associated with the target application program (103).

Abstract: A method and a device for recommendation of media content are described. The method includes: calculating scores of media content labels in a computer media content library; in descending order of the scores, selecting a first threshold media content label as a candidate media content label; for the candidate media content label, finding out a media content corresponding to the candidate media content label from the media content library; for the media content corresponding to the candidate media content label, in descending order of the amount of page views, selecting a second threshold media content as a media content to be recommended corresponding to the candidate media content label; and recommending the media content to be recommended corresponding to the candidate media content label to a user. The method and device can recommend popular media contents to users, and reduce the style difference between the media contents.

Abstract: A method and server for processing report data are disclosed according to the disclosure. The method includes: receiving a download identifier in a download area of a browser, where the download identifier is dragged into the download area by a drag operation; generating a first report data based on the received download identifier and displaying the first report data in the download area of the browser, the first report data being associated with the download identifier; receiving a delete operation for the download identifier, generating the second report data based on a remained download identifier and displaying the second report data in the download area, where the second report data is formed by screening the first report data and corresponds to the remained download identifier; sending the second report data based on a received downloading request.

Abstract: The described technology provides a method and device for data screening, and solves the technical problem that the user needs to return to the check box interface to reset the screen element and thus the operation steps are cumbersome. The method for data screening comprises: screening raw data according to a first screen element to obtain a first result subset, the first result subset belonging to the raw data and being corresponding to the first screen element; displaying the first result subset and an element list and receiving a second screen element selected by a user according to the element list; screening the first result subset according to the second screen element to obtain a second result subset, the second result subset belonging to the raw data and being corresponding to the second screen element; displaying the second result subset. The described technology is mainly applied during the process of data statistics and screening.