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Accounting for long-term user interaction with an application in selection of content associated with the application by an online system

机译:在通过在线系统选择与应用程序相关联的内容时考虑到用户与应用程序的长期交互

摘要

An online system generates one or more models that determine a likelihood of a user interacting with an application over a particular time interval after installing the application. To generate the one or more models, the online system obtains information describing a user's interaction with the application that occurred greater than a threshold time period prior to a time for which user interaction with the application is to be determined. Example user interactions with the application include: usage of the application, numbers of particular interactions with the application, an amount of compensation the application receives from the user, interactions with other users of the application via the application, and any other suitable interactions. Various engagement metrics may be predicted by the one or more models such as an amount of time spent using the application, particular actions taken in the application, and revenue generated by the user in the application.
机译:在线系统生成一个或多个模型,这些模型确定用户在安装应用程序后的特定时间间隔内与应用程序进行交互的可能性。为了生成一个或多个模型,在线系统获得描述用户与应用的交互的信息,该信息发生在比要确定用户与应用的交互的时间之前的阈值时间段长的时间。用户与应用程序的示例交互包括:应用程序的使用,与应用程序的特定交互的次数,应用程序从用户那里收到的补偿金额,通过应用程序与应用程序的其他用户的交互以及任何其他合适的交互。可以通过一个或多个模型来预测各种参与度,例如使用该应用程序所花费的时间,该应用程序中采取的特定动作以及该应用程序中用户所产生的收入。

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