The user preference is dynamic and requires drift detection to capture changes for delivering relevant recommendations. A sequential recommender system with drift detection was proposed. where drift points are indicated by comparing characteristics of consecutive items. The model leverages drift points to retrieve only interactions with preferences relevant to the current user prefere... https://parisnaturalfoodes.shop/product-category/8-light-blond/