Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System
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| Gepubliceerd in: | Algorithms vol. 18, no. 1 (2025), p. 28 |
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| Andere auteurs: | , |
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MDPI AG
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| Online toegang: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231333 |2 nlm | ||
| 100 | 1 | |a Shili, Mohamed |u Innov’COM Laboratory, National Engineering School of Carthage, University of Carthage, Charguia II, Carthage 2035, Tunisia; <email>mohamed.shili@fst.utm.tn</email> | |
| 245 | 1 | |a Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Digital mapping | ||
| 653 | |a Customer services | ||
| 653 | |a Software | ||
| 653 | |a Agents (artificial intelligence) | ||
| 653 | |a Internet | ||
| 653 | |a Collaboration | ||
| 653 | |a Recommender systems | ||
| 653 | |a Spatial analysis | ||
| 653 | |a Communication | ||
| 653 | |a Context | ||
| 653 | |a Electronic commerce | ||
| 653 | |a Customization | ||
| 653 | |a Data collection | ||
| 653 | |a Distributed processing | ||
| 653 | |a Customers | ||
| 653 | |a Geography | ||
| 653 | |a Spatial data | ||
| 653 | |a Marketing | ||
| 653 | |a Design | ||
| 653 | |a Geographic information systems | ||
| 653 | |a Real time | ||
| 653 | |a Inventory | ||
| 700 | 1 | |a Hammedi, Salah |u Networked Objects, Control, and Communication Systems (NOCCS) Laboratory, ENISo, University of Sousse, Sousse 4011, Tunisia; <email>salah.hammedi@enim.u-monastir.tn</email>; Electrical Engineering Department, National School of Engineers of Monastir, University of Monastir, Monastir 5019, Tunisia | |
| 700 | 1 | |a Elkhodr, Mahmoud |u School of Engineering and Technology, Central Queensland University, Rockhampton 4701, Australia | |
| 773 | 0 | |t Algorithms |g vol. 18, no. 1 (2025), p. 28 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3159222905/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3159222905/fulltextwithgraphics/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3159222905/fulltextPDF/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |