A re-visit of the popularity baseline in recommender systems

• Main Authors: Ji, Yitong, Sun, Aixin, Zhang, Jie, Li, Chenliang
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Recommender Systems; Popularity
• Online Access: https://hdl.handle.net/10356/144423
• Institution: Nanyang Technological University

Popularity is often included in experimental evaluation to provide a reference performance for a recommendation task. To understand how popularity baseline is defined and evaluated, we sample 12 papers from top-tier conferences including KDD, WWW, SIGIR, and RecSys, and 6 open source toolkits. We no...