Indian Journal of Science and Technology

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With growing usage of computer applications there is growing dependence of business over computer aided services like e-mails. The CRM or E-Mail based marketing companies are becoming pervasive. There is always a greater need to prioritize the e-mails which has direct impact on the ROI - Return on Investment to run these companies in a way that to customers satisfied. In this paper, a method is proposed to prioritize the unread E-Mails based on users' interest and priority. This is implemented in this system using agent technology. The Agent mechanism is guided using JADE Middleware and it's underlying architecture. The Intelligent agent used here can learn the interest and priority of the user and use this knowledge to rearrange the unread mails. The Text corpus in the mail would undergo tokenization and each token would be matched with knowledgebase by the agent. The 90 percent precision of the prioritization. Thereby, the E-Mails are ranked according to interest and priority of the user.

Keywords

Intelligent Agent, Tokenization, E-Commerce, Artificial Intelligence
User