Increasing effectiveness in e-commerce: recommendations applying intelligent agents
by Silvana Vanesa Aciar, Christian Serarols-Tarres, Marcelo Royo-Vela, Josep Lluis De la Rosa i Esteva
International Journal of Business and Systems Research (IJBSR), Vol. 1, No. 1, 2007

Abstract: The efficient management of the information regarding customers, consumers or other users, in massive markets, is a necessary condition for the implementation of Customer Relationship Management (CRM) processes or relational marketing. A new approach of information technologies to consumer data should generate an analysis of customers' behaviour, by synthesising key abstract information that will facilitate and improve the customisation of services and will lead to a gain in sales. Recommender Systems and Multiagent Systems (MAS) are the information technologies applied in this paper, jointly with a new methodology that allows, thanks to a greater efficiency, the selection of the most relevant sources of consumers' information to carry out recommendations of purchases to consumers.

Online publication date: Wed, 08-Aug-2007

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business and Systems Research (IJBSR):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com