Abstract
Users of computing devices, e.g., smartphones, wearables, tablets, personal computers, etc. that choose to be notified about incoming messages, e.g., email are often overwhelmed with notifications. Currently, there is no differentiation between notifications for high priority and low priority messages. Too many notifications can overwhelm or distract users. The techniques of this disclosure selectively provide notifications about email messages that are determined to be of priority or importance. The techniques utilize a trained machine-learning model that determines notification thresholds based on user preferences and user-permitted factors. Implementation of these techniques can reduce interruptions and distractions.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Matta, Annika; Keiler, Hannah; Klett-Wilkinson, Carmen; Bank, Jacob; Sohn, Timothy; Roy, Kaushik; and Zhou, Yi, "Selective notifications based on message priority determination", Technical Disclosure Commons, (January 23, 2018)
https://www.tdcommons.org/dpubs_series/1031