Journal Name:
- International Journal of Science and Engineering Investigations
Key Words:
Abstract (2. Language):
Since recommendation systems have been increasing
gradually, it is difficult for decision makers to find the
customers which interest them as well as representative lists.
How to utilize meaningful information effectively to improve
the service quality of recommendation system appears to be
very important. The purpose of this paper is to provide
recommendation system architecture to promote direct
marketing services in electronic commerce. In the proposed
architecture, a two-phase data mining process used by
association rule and clustering methods is designed to generate
a recommendation system. The process considers not only the
relationship of a cluster of customers but also the associations
among the information accessed. The recommendation
supported by the proposed system architecture would be
closely served to meet customers’ needs. This paper not only
constructs a recommendation system for decision makers to
search customers but takes the initiative in finding the most
suitable customers for them as well. Furthermore, managers are
expected to contact with core customers from a limited budget
to maintain and satisfy the requirements along with promoting
direct marketing
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FULL TEXT (PDF):
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