PrefMiner: Mining User’s Preferences for Intelligent Mobile Notification Management

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

PrefMiner: Mining User’s Preferences for Intelligent Mobile Notification Management. / Mehrotra, Abhinav; Hendley, Robert; Musolesi, Mirco.

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) . Association for Computing Machinery , 2016. p. 1223-1234 .

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Mehrotra, A, Hendley, R & Musolesi, M 2016, PrefMiner: Mining User’s Preferences for Intelligent Mobile Notification Management. in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) . Association for Computing Machinery , pp. 1223-1234 , 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) , Heidelberg, Germany, 12/09/16. https://doi.org/10.1145/2971648.2971747

APA

Mehrotra, A., Hendley, R., & Musolesi, M. (2016). PrefMiner: Mining User’s Preferences for Intelligent Mobile Notification Management. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) (pp. 1223-1234 ). Association for Computing Machinery . https://doi.org/10.1145/2971648.2971747

Vancouver

Mehrotra A, Hendley R, Musolesi M. PrefMiner: Mining User’s Preferences for Intelligent Mobile Notification Management. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) . Association for Computing Machinery . 2016. p. 1223-1234 https://doi.org/10.1145/2971648.2971747

Author

Mehrotra, Abhinav ; Hendley, Robert ; Musolesi, Mirco. / PrefMiner: Mining User’s Preferences for Intelligent Mobile Notification Management. Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) . Association for Computing Machinery , 2016. pp. 1223-1234

Bibtex

@inproceedings{c3025913a2b249e6913f3f310b148f68,
title = "PrefMiner: Mining User{\textquoteright}s Preferences for Intelligent Mobile Notification Management",
abstract = "Mobile notifications are increasingly used by a variety of applications to inform users about events, news or just to send alerts and reminders to them. However, many notifications are neither useful nor relevant to users{\textquoteright} interests and, alsofor this reason, they are considered disruptive and potentially annoying.In this paper we present the design, implementation and evaluation of PrefMiner, a novel interruptibility management solution that learns users{\textquoteright} preferences for receiving notifications based on automatic extraction of rules by mining their interaction with mobile phones. The goal is to build a system that is intelligible for users, i.e., not just a “black-box” solution. Rules are shown to users who might decide to accept or discard them at run-time. The design of PrefMiner is based on a large scale mobile notification dataset and its effectiveness is evaluated by means of an in-the-wild deployment.",
author = "Abhinav Mehrotra and Robert Hendley and Mirco Musolesi",
year = "2016",
month = sep,
day = "17",
doi = "10.1145/2971648.2971747",
language = "English",
pages = "1223--1234 ",
booktitle = "Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016)",
publisher = "Association for Computing Machinery ",
note = "2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) ; Conference date: 12-09-2016 Through 16-09-2016",

}

RIS

TY - GEN

T1 - PrefMiner: Mining User’s Preferences for Intelligent Mobile Notification Management

AU - Mehrotra, Abhinav

AU - Hendley, Robert

AU - Musolesi, Mirco

PY - 2016/9/17

Y1 - 2016/9/17

N2 - Mobile notifications are increasingly used by a variety of applications to inform users about events, news or just to send alerts and reminders to them. However, many notifications are neither useful nor relevant to users’ interests and, alsofor this reason, they are considered disruptive and potentially annoying.In this paper we present the design, implementation and evaluation of PrefMiner, a novel interruptibility management solution that learns users’ preferences for receiving notifications based on automatic extraction of rules by mining their interaction with mobile phones. The goal is to build a system that is intelligible for users, i.e., not just a “black-box” solution. Rules are shown to users who might decide to accept or discard them at run-time. The design of PrefMiner is based on a large scale mobile notification dataset and its effectiveness is evaluated by means of an in-the-wild deployment.

AB - Mobile notifications are increasingly used by a variety of applications to inform users about events, news or just to send alerts and reminders to them. However, many notifications are neither useful nor relevant to users’ interests and, alsofor this reason, they are considered disruptive and potentially annoying.In this paper we present the design, implementation and evaluation of PrefMiner, a novel interruptibility management solution that learns users’ preferences for receiving notifications based on automatic extraction of rules by mining their interaction with mobile phones. The goal is to build a system that is intelligible for users, i.e., not just a “black-box” solution. Rules are shown to users who might decide to accept or discard them at run-time. The design of PrefMiner is based on a large scale mobile notification dataset and its effectiveness is evaluated by means of an in-the-wild deployment.

U2 - 10.1145/2971648.2971747

DO - 10.1145/2971648.2971747

M3 - Conference contribution

SP - 1223

EP - 1234

BT - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016)

PB - Association for Computing Machinery

T2 - 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016)

Y2 - 12 September 2016 through 16 September 2016

ER -