الملخص
The increasing demand for personalized advertising based on user preferences is driving a surge in popularity. Social networks utilize millions of user’ data to suggest ads based on specific criteria. However, many of these ads can be uninteresting. This paper presents a collaborative advertisement recommendation system that leverages users’ preferences along with geographic and demographic data to deliver engaging ads. The system employs the K-dtree algorithm to efficiently organize users into interest-based communities and model complex patterns within those communities to enhance ad relevance. The dataset, collected via Hazmit provides a rich source of information. The system’s performance was evaluated based on precision, recall, F-score, and accuracy metrics, as well as running time measurements. The results highlighted the superior effectiveness of the K-dtree-based approach in accurately targeting the right customers for advertisements. Overall, the K-dtree method improves ad targeting accuracy, especially for food and demographics, but struggles with news due to subjectivity and regional biases.
الكلمات المفتاحية
بيانات النشر
- المعرّف الرقمي
- 10.56632/bct.2025.4102
- المجلة
- مجلة الأعمال والاتصال والتكنولوجيا, 4(1), 18-31
- الناشر
- كلية الخليج
- وصول مفتوح
- وصول مفتوح ذهبي
اقتبس هذه المقالة
APA 7
Boughareb, D., Bensalah, H., & Kouahla, Z. (2025). Collaborative Advertisement Recommendation System Leveraging User Preferences, Geography, and Demographics. Journal of Business, Communication and Technology, 4(1), 18-31. https://doi.org/10.56632/bct.2025.4102
MLA 9
Boughareb, Djalila, et al. "Collaborative Advertisement Recommendation System Leveraging User Preferences, Geography, and Demographics." Journal of Business, Communication and Technology, vol. 4, no. 1, 2025, pp. 18-31. https://doi.org/10.56632/bct.2025.4102.
شيكاغو (المؤلف–التاريخ)
Boughareb, Djalila, Hazem Bensalah, and Zineddine Kouahla. 2025. "Collaborative Advertisement Recommendation System Leveraging User Preferences, Geography, and Demographics." Journal of Business, Communication and Technology 4 (1): 18-31. https://doi.org/10.56632/bct.2025.4102.
هارفارد
Boughareb, D., Bensalah, H. and Kouahla, Z. (2025) 'Collaborative Advertisement Recommendation System Leveraging User Preferences, Geography, and Demographics', Journal of Business, Communication and Technology, 4(1), pp. 18-31. doi:10.56632/bct.2025.4102.
فانكوفر
Boughareb D, Bensalah H, Kouahla Z. Collaborative Advertisement Recommendation System Leveraging User Preferences, Geography, and Demographics. Journal of Business, Communication and Technology. 2025;4(1):18-31. doi:10.56632/bct.2025.4102
IEEE
D. Boughareb, H. Bensalah, and Z. Kouahla, "Collaborative Advertisement Recommendation System Leveraging User Preferences, Geography, and Demographics," Journal of Business, Communication and Technology, vol. 4, no. 1, pp. 18-31, 2025, doi: 10.56632/bct.2025.4102.