Alexander Christian Suryanto Linggodigdo

Comparative Evaluation of Precision and Relevance in Traditional, Graph, and LLM-Prompted Recommender Models

Most of the time, recommendation systems are evaluated using accuracy metrics like RMSE and MAE, but these accuracy values do not guarantee the generation of relevant recommendation lists for users. This study explains the difference by experiment with varied cross-paradigm comparison of User-Based Collaborative Filter...