Interactive evolutionary algorithms (IEAs) coupled with a data-driven user surrogate model (USM) have recently been proposed for enhancing personalized recommendation performance. Since the USM relies on only one model to describe the full range of user preferences. existing USM-based IEAs have not investigated how knowledge migrates between preference models to improve the diversity ... https://mabelandfoxs.shop/product-category/splash-mat/