Personalized Push Notifications for News Recommendation

Babak Loni, Anne Schuth, Lucas van de Haas, Jeroen Jansze, Vasco Visser, Marlies van der Wees
Proceedings of the 2nd Workshop on Online Recommder Systems and User Modeling, PMLR 109:36-45, 2019.

Abstract

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.

Cite this Paper

BibTeX
@InProceedings{pmlr-v109-loni19a, title = {Personalized Push Notifications for News Recommendation}, author = {Loni, Babak and Schuth, Anne and van de Haas, Lucas and Jansze, Jeroen and Visser, Vasco and van der Wees, Marlies}, booktitle = {Proceedings of the 2nd Workshop on Online Recommder Systems and User Modeling}, pages = {36--45}, year = {2019}, editor = {Vinagre, João and Jorge, Alípio Mário and Bifet, Albert and Al-Ghossein, Marie}, volume = {109}, series = {Proceedings of Machine Learning Research}, month = {19 Sep}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v109/loni19a/loni19a.pdf}, url = {https://proceedings.mlr.press/v109/loni19a.html}, abstract = {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.} }
Endnote
%0 Conference Paper %T Personalized Push Notifications for News Recommendation %A Babak Loni %A Anne Schuth %A Lucas van de Haas %A Jeroen Jansze %A Vasco Visser %A Marlies van der Wees %B Proceedings of the 2nd Workshop on Online Recommder Systems and User Modeling %C Proceedings of Machine Learning Research %D 2019 %E João Vinagre %E Alípio Mário Jorge %E Albert Bifet %E Marie Al-Ghossein %F pmlr-v109-loni19a %I PMLR %P 36--45 %U https://proceedings.mlr.press/v109/loni19a.html %V 109 %X 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.
APA
Loni, B., Schuth, A., van de Haas, L., Jansze, J., Visser, V. & van der Wees, M.. (2019). Personalized Push Notifications for News Recommendation. Proceedings of the 2nd Workshop on Online Recommder Systems and User Modeling, in Proceedings of Machine Learning Research 109:36-45 Available from https://proceedings.mlr.press/v109/loni19a.html.

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