Content area

Abstract

The evolving capabilities of Geographic Information Systems (GISs) are transforming various industries, including e-commerce, by providing enhanced spatial analysis and precision in customer targeting, and improving the ability of recommender systems. This paper proposes a novel framework that integrates mobile agents with GISs to deliver real-time, personalized recommendations in e-commerce. By utilizing the OpenStreetMap API for geographic mapping and the Java Agent Development Environment (JADE) platform for mobile agents, the system leverages both geospatial data and customer preferences to offer highly relevant product suggestions based on location and behaviour. Mobile agents enable real-time data collection, processing, and interaction with customers, facilitating dynamic adaptations to their needs. The combination of GISs and mobile agents enhances the system’s ability to analyze spatial data, providing tailored recommendations that align with user preferences and geographic context. This integrated approach not only improves the online shopping experience but also introduces new opportunities for location-specific marketing strategies, boosting the effectiveness of targeted advertising. The validation of this system highlights its potential to significantly enhance customer engagement and satisfaction through context-aware recommendations. The integration of GISs and mobile agents lays a strong foundation for future advancements in personalized e-commerce solutions, offering a scalable model for businesses looking to optimize marketing efforts and customer experiences.

Details

1009240
Business indexing term
Identifier / keyword
Title
Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System
Author
Shili, Mohamed 1   VIAFID ORCID Logo  ; Hammedi, Salah 2   VIAFID ORCID Logo  ; Elkhodr, Mahmoud 3   VIAFID ORCID Logo 

 Innov’COM Laboratory, National Engineering School of Carthage, University of Carthage, Charguia II, Carthage 2035, Tunisia; [email protected] 
 Networked Objects, Control, and Communication Systems (NOCCS) Laboratory, ENISo, University of Sousse, Sousse 4011, Tunisia; [email protected]; Electrical Engineering Department, National School of Engineers of Monastir, University of Monastir, Monastir 5019, Tunisia 
 School of Engineering and Technology, Central Queensland University, Rockhampton 4701, Australia 
Publication title
Algorithms; Basel
Volume
18
Issue
1
First page
28
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
19994893
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-01-07
Milestone dates
2024-11-28 (Received); 2024-12-30 (Accepted)
Publication history
 
 
   First posting date
07 Jan 2025
ProQuest document ID
3159222905
Document URL
https://www.proquest.com/scholarly-journals/spatial-intelligence-e-commerce-integrating/docview/3159222905/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-01-24
Database
2 databases
  • Coronavirus Research Database
  • ProQuest One Academic