Abstract
The email urgency reply prediction (EURP) is a way of handling, and determining em ails that require imperative reply with respect to time. Over the past few years, email has become the preferred medium of communication for many businesses and individuals. As a growing portion of our lives is captured over email exchanges, the phenomenon of the overcrowded and unmanaged inbox is becoming an increasingly serious impediment to communications and productivity. This research work focuses on the broader goal of providing users with effective applications to determine mails that require urgent replies-the task of urgency reply prediction has a sustainable economic benefits to both private and public sectors.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Information Society (i-Society 2011) |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 418-422 |
| Number of pages | 5 |
| ISBN (Electronic) | 9780956426383 |
| ISBN (Print) | 9781612841489, 9780956426383 |
| DOIs | |
| Publication status | Published - 8 Aug 2011 |
Keywords
- email machine learning
- expectation learning
- keyword index
- prediction
- unsupervised machine learning
- email urgency reply prediction
- EURP
- email handling
- email determination
- sustainable economic benefits
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