About this Research Topic
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.
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, #CollectionSeries
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.
