2 papers
cs.IR2024
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering
Hoin Jung, Hyunsoo Cho, Myungje Choi +3
When it comes to a personalized item recommendation system, It is essential to extract users' preferences and purchasing patterns. Assuming that users in the real world form a clus…
stat.ML2023
Exponentially Convergent Algorithms for Supervised Matrix Factorization
Joowon Lee, Hanbaek Lyu, Weixin Yao
Supervised matrix factorization (SMF) is a classical machine learning method that simultaneously seeks feature extraction and classification tasks, which are not necessarily a prio…