Geographic recommender systems in e-commerce based on population.
Ontology highlight
ABSTRACT: Technological advancements have significantly enhanced e-commerce, helping customers find the best products. One key development is recommendation systems, which personalize the shopping experience and boost sales. This paper explores a novel geographic recommendation system that uses demographic data, such as population density, age, and income, to refine recommendations. By integrating geographic and demographic information, like the population size of a country, businesses can tailor their offerings to regional preferences. This targeted approach aims to make recommendations more relevant by considering the behaviors and needs of different geographic areas. We sourced population data from The National Institute of Statistics (Tunisia, INS). This approach improves the importance of produ
SUBMITTER: Shili M
PROVIDER: S-EPMC11784866 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature
ACCESS DATA