Imam Fahrur Rozi

Comparing Recommender System Algorithms: From Traditional Collaborative Filtering to Deep Learning Autoencoder on MovieLens Datasets

With the increasing prevalence of digital platforms, recommender systems play a crucial role in personalizing user experiences. However, selecting an appropriate recommender system algorithm remains challenging due to inconsistent evaluation procedures and limited comparative studies that simultaneously address accurac...