Efficient retrieval of matrix factorization-based top-k recommendations: A survey of recent approaches

• Main Authors: LE, Duy Dung, LAUW, Hady W.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Databases and Information Systems; Data Storage Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6052; https://ink.library.smu.edu.sg/context/sis_research/article/7049/viewcontent/jair21.pdf
• Institution: Singapore Management University

Top-k recommendation seeks to deliver a personalized list of k items to each individual user. An established methodology in the literature based on matrix factorization (MF), which usually represents users and items as vectors in low-dimensional space, is an effective approach to recommender systems...