TY - JOUR
T1 - Recommender systems for sustainability
T2 - overview and research issues
AU - Felfernig, Alexander
AU - Wundara, Manfred
AU - Tran, Thi Ngoc Trang
AU - Polat-Erdeniz, Seda
AU - Lubos, Sebastian
AU - El Mansi, Merfat
AU - Garber, Damian
AU - Le, Viet Man
N1 - Publisher Copyright:
Copyright © 2023 Felfernig, Wundara, Tran, Polat-Erdeniz, Lubos, El Mansi, Garber and Le.
PY - 2023/10/30
Y1 - 2023/10/30
N2 - Sustainability development goals (SDGs) are regarded as a universal call to action with the overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity for all people. In order to achieve these objectives, different AI technologies play a major role. Specifically, recommender systems can provide support for organizations and individuals to achieve the defined goals. Recommender systems integrate AI technologies such as machine learning, explainable AI (XAI), case-based reasoning, and constraint solving in order to find and explain user-relevant alternatives from a potentially large set of options. In this article, we summarize the state of the art in applying recommender systems to support the achievement of sustainability development goals. In this context, we discuss open issues for future research.
AB - Sustainability development goals (SDGs) are regarded as a universal call to action with the overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity for all people. In order to achieve these objectives, different AI technologies play a major role. Specifically, recommender systems can provide support for organizations and individuals to achieve the defined goals. Recommender systems integrate AI technologies such as machine learning, explainable AI (XAI), case-based reasoning, and constraint solving in order to find and explain user-relevant alternatives from a potentially large set of options. In this article, we summarize the state of the art in applying recommender systems to support the achievement of sustainability development goals. In this context, we discuss open issues for future research.
KW - artificial intelligence
KW - machine learning
KW - recommender systems
KW - sustainability
KW - sustainability development goals
UR - http://www.scopus.com/inward/record.url?scp=85176408015&partnerID=8YFLogxK
U2 - 10.3389/fdata.2023.1284511
DO - 10.3389/fdata.2023.1284511
M3 - Review article
AN - SCOPUS:85176408015
SN - 2624-909X
VL - 6
JO - Frontiers in Big Data
JF - Frontiers in Big Data
M1 - 1284511
ER -