Conventional linear discriminant analysis (LDA) and its graph-based extensions encounter challenges with class overlap, uneven sampling, and inflexible neighborhood selection. Although reverse nearest neighbor (RNN) graphs address data density, standard Reverse Neighborhood Discriminant Analysis (RNDA) relies on hard l...
Sultan Alateeg, Mohammed E. Almandouh, A. Alsadoun et al.· Mathematics· 0 citations
Comprehensive evaluations across the Amazon Reviews, MovieLens, MIND, and KuaiSAR datasets demonstrate that LLM-RS not only matches state-of-the-art methods in accuracy but also significantly enhances explanation quality, user trust, and recommendation diversity.
A. Gadallah, H. Hefny, Mohammed E. Almandouh et al.· Mathematics· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.