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Reminder or follow-up Date Generation Engine For Messages Disclosure Number: IPCOM000248010D
Publication Date: 2016-Oct-17
Document File: 2 page(s) / 58K

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The Prior Art Database


When someone has received an email and read it, they may easily forget to respond unless it is manually flagged. This article proposes a method for identifying emails which are likely to require a response so that the recipient can be actively alerted even if they have not set a reminder.

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Reminder or follow-up Date Generation Engine For Messages

Sometimes it is hard to prioritise the answering of messages (for example, email, text messages etc) based on how urgent they are. After they have been read once, they no longer notify people of their existence, and they can get forgotten in a large inbox.

    Some people like to have reminders to respond to messages - and will set them themselves, through use of a 'follow-up' email folder, for example. But this is a manual step.

    In addition, in some professions, like the medical or legal professions, responses to messages are required by a particular date and time, and the consequences of missing them can be serious.

    This article solves the problem of users having to manually evaluate which emails they need to reply to and when they need to do it by, using an autonomous system to perform this process for them.

    The article describes a Date Generation Engine, which works on receipt of an incoming email, to determine a date by which the email needs to be replied to. It focuses on analysis of the incoming/outgoing emails, along with combining different types of cognitive analysis to determine the likely urgency of that message and any requirement for a response, and then reminding the reader until the response action is taken.

    Some existing systems allow for notification of a requirement of a response when the message is sent. Other systems allow for content analysis when the message is received to determine perceived importance and allow for highlighting a message that requires action only before it is read. Key differences of this system from existing systems are as follows:

    - Identification of a date by which a response is required, without this having to be set by the sender. The identification is done through cognitive analysis, combining content analysis and user behaviour.

    - Links with external systems, for example compliance databases, user registry and social media identifiers to understand more about the relationship between receiver and sender, and the subject matter wrt SLAs / legal/corporate requirements.

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