Increasing effectiveness in e-commerce: Recommendations applying intelligent agents

Silvana Vanesa Aciar; Christian Serarols-Tarrés; Marcelo Royo-Vela; Josep Lluis De La Rosa I Esteva

doi:https://doi.org/10.1504/IJBSR.2007.014774

Increasing effectiveness in e-commerce: Recommendations applying intelligent agents

Silvana Vanesa Aciar, Christian Serarols-Tarrés, Marcelo Royo-Vela, Josep Lluis De La Rosa I Esteva

Research output: Contribution to journal › Article › Research › peer-review

21 Citations (Scopus)

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. Copyright © 2007 Inderscience Enterprises Ltd.

Original language	English
Pages (from-to)	81-97
Journal	International Journal of Business and Systems Research
Volume	1
DOIs	https://doi.org/10.1504/IJBSR.2007.014774
Publication status	Published - 1 Jan 2007

Keywords

Artificial intelligence
CRM
Customer relationship management
E-commerce
IAs
Information technologies
Intelligent agents
Marketing
Multiagent systems
Recommender systems

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Cite this

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title = "Increasing effectiveness in e-commerce: Recommendations applying intelligent agents",

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. Copyright {\textcopyright} 2007 Inderscience Enterprises Ltd.",

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AU - Serarols-Tarrés, Christian

AU - Royo-Vela, Marcelo

AU - De La Rosa I Esteva, Josep Lluis

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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

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M3 - Article

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ER -

Increasing effectiveness in e-commerce: Recommendations applying intelligent agents

Abstract

Keywords

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