06/08/2026
Do recommendation systems really know what you like? A research by Professors Guo Xunhua, Chen Guoqing and team shows that behavior is shaped not only by personal preferences, but also by factors such as product visibility and social influence. By separating these effects, the researchers developed an -powered recommendation approach that delivers more accurate, transparent, and personalized recommendations. The findings offer valuable insights for building smarter recommendation systems and improving customer experiences in digital commerce. Read more: https://bit.ly/4f17kqK