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System and Method to Use Predictive Analytics to Determine Email Attachments Storage

IP.com Disclosure Number: IPCOM000250003D
Publication Date: 2017-May-15
Document File: 2 page(s) / 120K

Publishing Venue

The IP.com Prior Art Database

Abstract

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Method and System for Configuring Email Attachments based on Analysis of User Behavior

A method and system for configuring email attachments based on analysis of user behavior is disclosed. Depending on the probability of opening the email attachment, the email attachment is retained in an email server or a link to the email attachment stored in a local server is provided.

Disclosed is a method and system for configuring email attachments based on analysis of user behavior.

In an embodiment, the method and system is as shown in the Figure. An email with an attachment sent to a recipient may be received by an email application. An analytics engine may predict the probability of the recipient opening the email attachment by analyzing the behavior of the recipient. The analytics engine may be located on the same server as the email server. Alternatively, the analytics engine may be located on another server. The analytics engine may predict whether the recipient opens the attachment based on the parameters associated with the recipient such as, but not limited to, email preferences, office presence, history and behavioral pattern, frequency of opening of attachments sent by a sender, volume of email in the recipient’s inbox and the calendar appointments of the recipient. The analytics engine may also predict the probability of the recipient opening the attachments based on the parameters associated with the email such as, but not limited to, the age of the email, pre-existence of the email attachment, size of the email attachment, file type of the email attachment, sender of the email, recipients of the email, time of day email was sent and contents of the email.

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After analyzing the parameters, the analytics engine may arrive at predictions and conclusions associated with the opening of the email attachment. The analytics engine updates a self-learning repository with the predictions. Over a period of time, the analytics engine refers the self-learning repository in order to reduce an...