Generalizing Linear Autoencoder Recommenders with Decoupled Expected Quadratic Loss

Ruixin Guo, Xinyu Li, Hao Zhou +2

Linear autoencoders (LAEs) have gained increasing popularity in recommender systems due to their simplicity and strong empirical performance. Most LAE models, including the Emphasi…