It employs demographic data (e.g., age, profession) to infer recommendation rules based on stereotypes.
Published in Chapter:
E-Commerce Recommendation Systems
Konstantinos Markellos (University of Patras, Greece), Penelope Markellou (University of Patras, Greece), Aristotelis Mertis (University of Patras, Greece), and Angeliki Panayiotaki (University of Patras, Greece & Hellenic Ministry of Economy & Finance, Greece)
Copyright: © 2009
|Pages: 9
DOI: 10.4018/978-1-59904-845-1.ch024
Abstract
In the last decade electronic and wireless technologies have changed the way companies do business forever. E-commerce (electronic commerce) and e-business (electronic business) feature as extremely dynamic economic sectors and at the same time, as the most appealing ways of beginning or expanding a business activity. Successful companies today recognize these technologies and the Internet as mainstream to business success. Indeed, their future will continue to be promising to companies seeking means for cost cutting, enhanced productivity, improved efficiency, and increased customers’ satisfaction. On the other hand, this networked economy is notably characterized by the impersonal nature of the online environment and the extensive use of IT (information technology), as opposed to face-to-face contact for transactions.