Neglect Application for Block the Unwanted Notification

Lomesh Pelne, Suraj Kale, Rajat Kubde, Vrushabh Bhusari, Vandana Choubey
International Journal of Computational and Electronic Aspects in Engineering
Volume 2: Issue 2, June 2021, pp 24-27

Author's Information
Suraj Kale1 
Corresponding Author
1Student, Department of Computer Engineering, Smt. Radhikatai Pandav College of Engineering, Nagpur, India
nnandapure@gmail.com

 Lomesh Pelne1, Rajat Kubde1, Vrushabh Bhusari1
1Student, Department of Computer Engineering, Smt. Radhikatai Pandav College of Engineering, Nagpur, India

 Vandana Choubey2
2Assistant Professor, Department of Computer Engineering, Smt. Radhikatai Pandav College of Engineering, Nagpur, India

Research Article -- Peer Reviewed
First online on – 18 June 2021

Open Access article under Creative Commons License

Cite this article –Lomesh Pelne, Suraj Kale, Rajat Kubde, Vrushabh Bhusari, Vandana Choubey“Neglect Application for Block the Unwanted Notification”, International Journal of Computational and Electronic Aspects in Engineering, RAME Publishers, vol. 2, issue 2, pp. 24-27, 2021.
https://doi.org/10.26706/ijceae.2.2.20210409

Abstract:-
Each of these notifications can provide added value in terms of content for smartphone users, but they can also cause disruption and interruption. As a result, advertisers must understand how the frequency with which messages are delivered affects consumer acceptance. The Prisma method is used to conduct the systematic review, which identifies a total of 18,725 potentially relevant scientific papers. Push notifications are appropriate for encouraging users to use an app and establish new habits, according to the 17 research articles included in the qualitative synthesis. App usage rises with frequency, with very active users tolerating higher rates. At the same time, it is demonstrated that too high is not a good thing. Because a frequency can be perceived as bothersome, users should be given the option to choose the frequency with which they get information. Notifications. A research gap has been found, especially in studies that look at observed app user behavior rather than behavior reported through questionnaires examine the interaction between notification frequency, content, and presentation.
Index Terms:-
Machine Learning, Deep Learning, Convolutional Network, CNN, Gender Estimator, Age Predictor, Emotion Detector, Python

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