A Survey on Session-based Recommender Systems

• Published in: ACM computing surveys Vol. 54; no. 7; pp. 1 - 38
• Main Authors: Wang, Shoujin, Cao, Longbing, Wang, Yan, Sheng, Quan Z., Orgun, Mehmet A., Lian, Defu
• Format: Journal Article
• Language: English
• Published: New York, NY, USA ACM 30.09.2022; Association for Computing Machinery
• Subjects: Applied computing; Computer science; Computing methodologies; Data mining; Decision making; Electronic commerce; Information retrieval; Information systems; Information systems applications; Machine learning; Recommender systems; Taxonomy; recommender systems; recommendations; session-based recommendations; session-based recommender systems

Recommender systems (RSs) have been playing an increasingly important role for informed consumption, services, and decision-making in the overloaded information era and digitized economy. In recent years, session-based recommender systems (SBRSs) have emerged as a new paradigm of RSs. Different from...