An Explainable Autoencoder For Collaborative Filtering Recommendation

no code implementations • 23 Dec 2019 • Pegah Sagheb Haghighi, Olurotimi Seton, Olfa Nasraoui

In this work, we design an explainable recommendation system using an Autoencoder model whose predictions can be explained using the neighborhood based explanation style.

Collaborative Filtering Explainable Recommendation +2