 Increasing effectiveness in e-commerce: recommendations applying intelligent agentsSilvana Vanesa Aciar, Christian Serarols-Tarres, Marcelo Royo-Vela and Josep Lluis De la Rosa i Esteva International Journal of Business and Systems Research, 2007, vol. 1, issue 1, 81-97 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. Keywords: relational marketing; artificial intelligence; customer relationship management; CRM; e-commerce; electronic commerce; recommender systems; intelligent agents; IAs; multi-agent systems; information technology; agent-based systems; customer behaviour; purchase recommendations. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbsre:v:1:y:2007:i:1:p:81-97 Access Statistics for this article More articles in International Journal of Business and Systems Research from Inderscience Enterprises Ltd |
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