Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System
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 integ...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Algorithms |
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| Online Access: | https://www.mdpi.com/1999-4893/18/1/28 |
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| _version_ | 1832589432560025600 |
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| author | Mohamed Shili Salah Hammedi Mahmoud Elkhodr |
| author_facet | Mohamed Shili Salah Hammedi Mahmoud Elkhodr |
| author_sort | Mohamed Shili |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-dab1020275c34b3facc6ae2a2aacfee6 |
| institution | Kabale University |
| issn | 1999-4893 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj-art-dab1020275c34b3facc6ae2a2aacfee62025-01-24T13:17:32ZengMDPI AGAlgorithms1999-48932025-01-011812810.3390/a18010028Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation SystemMohamed Shili0Salah Hammedi1Mahmoud Elkhodr2Innov’COM Laboratory, National Engineering School of Carthage, University of Carthage, Charguia II, Carthage 2035, TunisiaNetworked Objects, Control, and Communication Systems (NOCCS) Laboratory, ENISo, University of Sousse, Sousse 4011, TunisiaSchool of Engineering and Technology, Central Queensland University, Rockhampton 4701, AustraliaThe 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.https://www.mdpi.com/1999-4893/18/1/28e-commerceGISmobile agentsJADEcustomers |
| spellingShingle | Mohamed Shili Salah Hammedi Mahmoud Elkhodr Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System Algorithms e-commerce GIS mobile agents JADE customers |
| title | Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System |
| title_full | Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System |
| title_fullStr | Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System |
| title_full_unstemmed | Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System |
| title_short | Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System |
| title_sort | spatial intelligence in e commerce integrating mobile agents with giss for a dynamic recommendation system |
| topic | e-commerce GIS mobile agents JADE customers |
| url | https://www.mdpi.com/1999-4893/18/1/28 |
| work_keys_str_mv | AT mohamedshili spatialintelligenceinecommerceintegratingmobileagentswithgissforadynamicrecommendationsystem AT salahhammedi spatialintelligenceinecommerceintegratingmobileagentswithgissforadynamicrecommendationsystem AT mahmoudelkhodr spatialintelligenceinecommerceintegratingmobileagentswithgissforadynamicrecommendationsystem |