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- W2783007838 abstract "In mobile application, the push notification is an important function to make users consume an item (eg. movie, novel). If a mobile application sends too many notifications to users without considering their preferences, it can cause them to turn off the notification or even deleting the mobile application. Thus, we develop a framework that selects a set of users who are likely to react to the push notification. To the best of our knowledge, we first apply recommendation techniques (i.e., collaborative filtering and content-based models) to the problem of discovering the target of push notification." @default.
- W2783007838 created "2018-01-26" @default.
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- W2783007838 date "2017-12-01" @default.
- W2783007838 modified "2023-09-27" @default.
- W2783007838 title "A study on intelligent personalized push notification with user history" @default.
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- W2783007838 doi "https://doi.org/10.1109/bigdata.2017.8258081" @default.
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