Personalized Push Notifications for News Recommendation

被引：0
|
作者：
Loni, Babak [1 ]
Schuth, Anne [1 ]
de Haas, Lucas [1 ]
Jansze, Jeroen [1 ]
Visser, Vasco [1 ]
van der Wees, Marlies [1 ]
机构：
[1] DPG Media, Amsterdam, Netherlands
来源：
2ND WORKSHOP ON ONLINE RECOMMENDER SYSTEMS AND USER MODELING, VOL 109 | 2019年 / 109卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Push notifications on mobile devices are an important way for users to stay up to date with news. Push notifications can also be a major source of annoyance for users: being interrupted at the wrong time for something you do not care about is frustrating. It is crucial to ensure the right push is sent to the right user at the right moment. In this paper we address this problem of personalized push notifications. We introduce our streaming push personalization pipeline, describe how we personalize pushes, discuss challenges, and end with open questions.
引用
收藏
页码：36 / 45
页数：10
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