TY - JOUR
T1 - Recent Developments in Recommender Systems
T2 - A Survey [Review Article]
AU - Li, Yang
AU - Liu, Kangbo
AU - Satapathy, Ranjan
AU - Wang, Suhang
AU - Cambria, Erik
N1 - Publisher Copyright:
© 2005-2012 IEEE.
PY - 2024/5/1
Y1 - 2024/5/1
N2 - In this technical survey, the latest advancements in the field of recommender systems are comprehensively summarized. The objective of this study is to provide an overview of the current state-of-the-art in the field and highlight the latest trends in the development of recommender systems. It starts with a comprehensive summary of the main taxonomy of recommender systems, including personalized and group recommender systems. In addition, the survey analyzes the robustness, data bias, and fairness issues in recommender systems, summarizing the evaluation metrics used to assess the performance of these systems. Finally, it provides insights into the latest trends in the development of recommender systems and highlights the new directions for future research in the field.
AB - In this technical survey, the latest advancements in the field of recommender systems are comprehensively summarized. The objective of this study is to provide an overview of the current state-of-the-art in the field and highlight the latest trends in the development of recommender systems. It starts with a comprehensive summary of the main taxonomy of recommender systems, including personalized and group recommender systems. In addition, the survey analyzes the robustness, data bias, and fairness issues in recommender systems, summarizing the evaluation metrics used to assess the performance of these systems. Finally, it provides insights into the latest trends in the development of recommender systems and highlights the new directions for future research in the field.
UR - http://www.scopus.com/inward/record.url?scp=85190894289&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85190894289&partnerID=8YFLogxK
U2 - 10.1109/MCI.2024.3363984
DO - 10.1109/MCI.2024.3363984
M3 - Article
AN - SCOPUS:85190894289
SN - 1556-603X
VL - 19
SP - 78
EP - 95
JO - IEEE Computational Intelligence Magazine
JF - IEEE Computational Intelligence Magazine
IS - 2
ER -