Frontiers in Big Data is delighted to present the
‘Reviews in Recommender Systems’ series of article collections.
Reviews in Recommender Systems will publish high-quality scholarly review papers on key topics in recommender systems and their applications in our everyday lives, in search engines, online retail, news, entertainment, travel, social networks, and much more. It aims to highlight recent advances in the field, whilst emphasizing important directions and new possibilities for future inquiries. We anticipate the research presented will promote discussion in the Big Data community that will translate to best practice applications in further research, industry, real-world implementations, public health, and policy settings.
The
Reviews in Recommender Systems collection welcomes full-length, mini, or systematic review papers. Information on article types and lengths can be found here:
https://www.frontiersin.org/journals/big-data/for-authors/article-typesNew articles will be added to this collection as they are published.
Other titles in this series include:
Reviews in Cybersecurity and Privacy: 2022Reviews in Data Analytics for Social Impact: 2022Reviews in Machine Learning and Artificial Intelligence: 2022
Reviews in Data-driven Climate Sciences: 2022 Frontiers in Big Data is delighted to present the
‘Reviews in Recommender Systems’ series of article collections.
Reviews in Recommender Systems will publish high-quality scholarly review papers on key topics in recommender systems and their applications in our everyday lives, in search engines, online retail, news, entertainment, travel, social networks, and much more. It aims to highlight recent advances in the field, whilst emphasizing important directions and new possibilities for future inquiries. We anticipate the research presented will promote discussion in the Big Data community that will translate to best practice applications in further research, industry, real-world implementations, public health, and policy settings.
The
Reviews in Recommender Systems collection welcomes full-length, mini, or systematic review papers. Information on article types and lengths can be found here:
https://www.frontiersin.org/journals/big-data/for-authors/article-typesNew articles will be added to this collection as they are published.
Other titles in this series include:
Reviews in Cybersecurity and Privacy: 2022Reviews in Data Analytics for Social Impact: 2022Reviews in Machine Learning and Artificial Intelligence: 2022
Reviews in Data-driven Climate Sciences: 2022