Blaise Kapalala Kapenda

Comparison and Optimization of the Robustness of Recommendation Models in the Face of Noised Data in E-Commerce

Bruce Mbombi Bakondolo, Télesphore Nsumbu Lukamba, Christophe Ebaka Bongelo, Jean Cibamba Kanyinda, Blaise Kapalala Kapenda, Pierre Kamuina Kambayi, Gédéon Mbala Mbuyamba & Richard Kitondua Lubanzadio · Asian Journal of Research in Computer Science · 2026

Recommendation systems play a crucial role in e-commerce, but their performance is often degraded by noisy data such as accidental clicks, erroneous implicit interactions, and ambiguous user behavior. This study compares the robustness of three recommendation approaches: collabor...