Generalized neural collaborative filtering
In Jun Hwang, Hee Ju Kim, Yu Jin Kim, Yoon Dong Lee · Korean Journal of Applied Statistics · 2024
In this study, we conduct an exploratory analysis of the MovieLens data, which is frequently used in many recommender system researches, to examine the detailed characteristics of the data.Also, we seek alternatives to improve the well-known neural collaborative filtering (NCF) method.NCF improved matrix factorization method by using deep neural networks in recommender systems.We devise, generalized NCF (G-NCF), a variant of NCF and test the performances.The G-NCF we propose shows superior characteristics on average performance across key evaluation metrics, compared to the NCF, but it also has a slightly larger variance in the evaluation metrics.Evaluation metrics such as MAP and nDCG were considered for comparison.