An Explainable Retrieval-Augmented Generation-Based Personalized Recommendation System
In the proposed model, SBERT embeddings and FAISS indexing are used for effective semantic retrieval and hybrid ranking and explainability component is included in the architecture to provide explanations using similarity score, rating, popularity, author similarity and publication era.