Abstract
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.
Keywords
Publication details
- DOI
- 10.56632/bct.2025.4102
- Journal
- Journal of Business, Communication and Technology, 4(1), 18-31
- Publisher
- Gulf College
- Open access
- Gold open access
Cite this article
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.
Chicago (author–date)
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.
Harvard
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.
Vancouver
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.