An empirical study of the discreteness prior in low-rank matrix completion

• Main Authors: ALVES, Rodrigo, LEDENT, Antoine, ASSUNÇÃO, Renato, and KLOFT, Marius
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Recommender Systems; Matrix Completion; Side information; User and Item attributes; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7210; https://ink.library.smu.edu.sg/context/sis_research/article/8213/viewcontent/alves21a.pdf

A reasonable assumption in recommender systems is that the rows (users) and columns (items) of the rating matrix can be split into groups (communities) with the following property: each entry of the matrix is the sum of components corresponding to community behavior and a purely low-rank component c...