Tomofumi Hara

Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender Systems

2023

Matrix Factorization (MF) is a common method in Recommender Systems (RS). However, distinguishing between continuously and temporarily popular items is challenging, as the basic MF relies on the accumulated user rating records for an item. …