The long-tail recommendation is a challenging task for traditional recommender systems,
due to data sparsity and data imbalance issues. The recent development of large language …

Recommender System (RS) has generated widespread attention with the aim of expanding
different items. Among graph-based recommendation methods, the tripartite graph can …

In existing matrix factorization (MF)-based recommender systems, the user-item interaction
matrix is factorized linearly into two low-ranked feature matrices to generate predictions or …

The recommendation of long-tail items has been a persistent issue in recommender system
research. The primary reason for this problem is that the model cannot learn better item …

It is very common to have long tail distribution of items in recommender systems. However,
due to the limited interaction records of long-tail items, recommending them to users …

Saat ini, dalam kehidupan kita tidak terlepas dari penggunaan teknologi informasi, terutama
teknologi Internet. Teknologi Internet telah mengubah pola dan kebiasaan hidup manusia …