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A Multi Intelligent Agent-based Approach for Optimizing Commercial Recommendations

by Chaimae Lamaakchaoui, Abdellah Azmani, Mustapha El Jarroudi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 18
Year of Publication: 2014
Authors: Chaimae Lamaakchaoui, Abdellah Azmani, Mustapha El Jarroudi
10.5120/19013-0537

Chaimae Lamaakchaoui, Abdellah Azmani, Mustapha El Jarroudi . A Multi Intelligent Agent-based Approach for Optimizing Commercial Recommendations. International Journal of Computer Applications. 108, 18 ( December 2014), 28-32. DOI=10.5120/19013-0537

@article{ 10.5120/19013-0537,
author = { Chaimae Lamaakchaoui, Abdellah Azmani, Mustapha El Jarroudi },
title = { A Multi Intelligent Agent-based Approach for Optimizing Commercial Recommendations },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 18 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 28-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number18/19013-0537/ },
doi = { 10.5120/19013-0537 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:43:20.150948+05:30
%A Chaimae Lamaakchaoui
%A Abdellah Azmani
%A Mustapha El Jarroudi
%T A Multi Intelligent Agent-based Approach for Optimizing Commercial Recommendations
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 18
%P 28-32
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the present paper a model of a multi agent based system is presented, which helps marketers on the one hand to address its products to the best targets and in the another hand to generate relevant product recommendations for customers that best match their interests and needs. To achieve this, the system is based on six agents. Each one of them has a specified role but can also communicate with other agents to share knowledge and achieve common goals. In order to generate relevant recommendations and target the best customers, the system uses different types of parameters (the customer's parameters, product's parameters, parameters of the context and the constraints).

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Index Terms

Computer Science
Information Sciences

Keywords

Multi-agent intelligent agent customer satisfaction recommendation customer interest customer need customer profile.

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