About this Research Topic

Abstract Submission Deadline 15 August 2022
Manuscript Submission Deadline 15 September 2022

This Research Topic is part of the Rising Stars in Big Data series. Other titles in the series are:
Rising Stars in Cybersecurity and Privacy 2022
Rising Stars in Big Data Networks 2022
Rising Stars in AI and Big Data Analytics for Medicine and Public Health 2022
Rising Stars in Data Analytics for Social Impact 2022
Rising Stars in Data Science 2022
Rising Stars in Data-driven Climate Sciences 2022
Rising Stars in Data Mining and Management 2022


We are delighted to present the inaugural Frontiers in Big Data “Rising Stars in Recommender Systems 2022" annual series of article collections. Recognizing the future leaders of Recommender Systems is fundamental to safeguarding tomorrow's driving force in innovation.

This collection will showcase the high-quality work of internationally recognized researchers in the early stages of their careers. We aim to highlight research by leading scientists of the future across the entire field breadth of Recommender Systems, and present advances in theory, experiment, and methodology with applications to compelling problems.

All Rising Star researchers will be suggested by established Editors within our board in recognition of their influence on the future directions in their respective fields. While future innovations in Recommender Systems are yet to be discovered, this Research Topic will give us a hint at whom to follow.

Please note, that contributions to the collection are by invitation only. Please inform the Editorial Office at bigdata.submissions@frontiersin.org once you are prepared to submit.

Keywords: big data applications, recommender systems, search engines, online retail, social networks

Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

This Research Topic is part of the Rising Stars in Big Data series. Other titles in the series are:
Rising Stars in Cybersecurity and Privacy 2022
Rising Stars in Big Data Networks 2022
Rising Stars in AI and Big Data Analytics for Medicine and Public Health 2022
Rising Stars in Data Analytics for Social Impact 2022
Rising Stars in Data Science 2022
Rising Stars in Data-driven Climate Sciences 2022
Rising Stars in Data Mining and Management 2022


We are delighted to present the inaugural Frontiers in Big Data “Rising Stars in Recommender Systems 2022" annual series of article collections. Recognizing the future leaders of Recommender Systems is fundamental to safeguarding tomorrow's driving force in innovation.

This collection will showcase the high-quality work of internationally recognized researchers in the early stages of their careers. We aim to highlight research by leading scientists of the future across the entire field breadth of Recommender Systems, and present advances in theory, experiment, and methodology with applications to compelling problems.

All Rising Star researchers will be suggested by established Editors within our board in recognition of their influence on the future directions in their respective fields. While future innovations in Recommender Systems are yet to be discovered, this Research Topic will give us a hint at whom to follow.

Please note, that contributions to the collection are by invitation only. Please inform the Editorial Office at bigdata.submissions@frontiersin.org once you are prepared to submit.

Keywords: big data applications, recommender systems, search engines, online retail, social networks


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Topic Editors

Loading..

Topic Coordinators

Loading..

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Articles

Sort by:

Loading..

Authors

Loading..

Views

total views article views article downloads topic views

}
 
Top countries
Top referring sites
Loading..

Share on

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals: