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Abstract:
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Nowadays, the use of the advertising emails is
widely used in commercials. Often advertising emails are sent
to unwanted recipients that might be from not up-to-date
recipient list. Such events can lead to boredom and annoyance
to the recipients. As the consequences, the recipients might
permanently deny to accept these emails or even worse the
email owner business or product image could be damaged.
Therefore, we propose Framework of Marketing or Newsletter
Sender Reputation System (FMNSRS) by using sender reputation
algorithm based on the centralized user feedback database
to solve the problems previously mentioned. The FMNSRS can
create the centralized lists of both the marketing and newsletter
senders and the recipients. These lists are periodically updated.
In addition, we use the sender reputation system to calculate
the score of each sender by several feedback from the clients to
classify senders in order for the recipients can choose to receive
advertising emails from the high reputation score senders. For
the framework validation, the results show that the FMNSRS
can improve the sending capability of the marketing or newsletter
email systems. Also, the FMNSRS can accurately detect the
marketing or newsletter emails approximately 73.30% more
than the traditional framework. |