TY - JOUR
T1 - Increasing effectiveness in e-commerce: Recommendations applying intelligent agents
AU - Aciar, Silvana Vanesa
AU - Serarols-Tarrés, Christian
AU - Royo-Vela, Marcelo
AU - De La Rosa I Esteva, Josep Lluis
PY - 2007/1/1
Y1 - 2007/1/1
N2 - 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. Copyright © 2007 Inderscience Enterprises Ltd.
AB - 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. Copyright © 2007 Inderscience Enterprises Ltd.
KW - Artificial intelligence
KW - CRM
KW - Customer relationship management
KW - E-commerce
KW - IAs
KW - Information technologies
KW - Intelligent agents
KW - Marketing
KW - Multiagent systems
KW - Recommender systems
U2 - https://doi.org/10.1504/IJBSR.2007.014774
DO - https://doi.org/10.1504/IJBSR.2007.014774
M3 - Article
VL - 1
SP - 81
EP - 97
JO - International Journal of Business and Systems Research
JF - International Journal of Business and Systems Research
SN - 1751-200X
ER -