Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing information overload. However, when users join a new online platform, recommendation systems often struggle to understand their preferences. With no prior interactions in the new environment, these “cold-start” users are difficult to serve accurately.Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing information overload. However, when users join a new online platform, recommendation systems often struggle to understand their preferences. With no prior interactions in the new environment, these “cold-start” users are difficult to serve accurately.Consumer & Gadgets[#item_full_content]