Research commentary on recommendations with side information : a survey and research directions

• Main Authors: Sun, Zhu, Guo, Qing, Yang, Jie, Fang, Hui, Guo, Guibing, Zhang, Jie, Burke, Robin
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Side information; Research commentary
• Online Access: https://hdl.handle.net/10356/138180
• Institution: Nanyang Technological University

Recommender systems have become an essential tool to help resolve the information overload problem in recent decades. Traditional recommender systems, however, suffer from data sparsity and cold start problems. To address these issues, a great number of recommendation algorithms have been proposed t...