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Providing an expected duration for processing an Email

IP.com Disclosure Number: IPCOM000245152D
Publication Date: 2016-Feb-14
Document File: 2 page(s) / 27K

Publishing Venue

The IP.com Prior Art Database

Abstract

Due to the plethora of emails in recent years managing one email box effectively has become increasingly challenging. This is especially true in the enterprise as people (especially managers) receive hundreds of emails every day. Our invention offers a way to estimate the expected duration of processing all these emails for a particular user and based on features of the unread emails. This expected duration is displayed to the email user helping him to better schedule his day. We suggest an email client system that tracks the time the user spends reading the emails and also replying to them or labeling them and then uses this data globally to estimate email processing durations.

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Providing an expected duration for processing an Email

Due to the plethora of emails in recent years managing one email box effectively has become increasingly challenging. This is especially true in the enterprise as people (especially managers) receive hundreds of emails every day. This makes planning a daily schedule difficult as the time to spend on reading and answering all the emails is unknown in advance. This invention offers a way to estimate the expected duration of processing all these emails for a particular user and based on features of the unread emails. This expected duration is displayed to the email user helping him to better schedule his day.

The email client needs to track the time the user spends reading the emails and also replying to them or labeling them.

In addition, the system collects features about each email.

Features include (but are not limited to) sender, people copied, organization relations between the user and the sender, priority, total number of recipients, words that appear in the email, number of words in email (and so on).

Based on these features, and the actual time spent processing the email (including reading/writing/labeling) the system performs Regression Analysis and then uses it to predict future time estimates based on email features.

This estimate can then be provided on a per email basis as well as overall, for all the unread emails.

Collecting the time spent on processing an email

A possible embodiment for this is by incrementing a time counter from the mo...