JIIS preface for the special issue on advances in recommender systems

Yong Zheng*, Li Chen, Markus Zanker, Panagiotis Symeonidis

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review


Recommender systems have been successfully applied to alleviate overloaded information and assist decision making in various domains and applications. Recently, several new research directions emerged and novel techniques were proposed to advance the development of recommender systems. In this special issue, we invited authors to submit the revised and extended version of their accepted papers in the track on recommender systems associated with ACM Symposium on Applied Computing in 2020 and 2021. Each submission was reviewed by at least two experts and revised according to the reviewers’ comments to ensure the quality of the paper. We hope this special issue can motivate researchers in the area of recommender systems to take the next step beyond traditional algorithm development and seek more opportunities in their research work.

Original languageEnglish
Pages (from-to)223-225
Number of pages3
JournalJournal of Intelligent Information Systems
Issue number2
Publication statusPublished - Apr 2022

Scopus Subject Areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence

User-Defined Keywords

  • Fairness
  • Federated learning
  • Matrix factorization
  • Optimization
  • Recommender systems


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