RT Journal Article
T1 Recommender systems for smart cities
A1 Quijano-Sánchez, Lara
A1 Cantador, Iván
A1 Cortés Cediel, María Elicia
A1 Gil García, Olga
AB Among other conceptualizations, smart cities have been defined as functional urban areas articulated by the use of Information and Communication Technologies (ICT) and modern infrastructures to face city problems in efficient and sustainable ways. Within ICT, recommender systems are strong tools that filter relevant information, upgrading the relations between stakeholders in the polity and civil society, and assisting in decision making tasks through technological platforms. There are scientific articles covering recommendation approaches in smart city applications, and there are recommendation solutions implemented in real world smart city initiatives. However, to the best of our knowledge, there is not a comprehensive review of the state of the art on recommender systems for smart cities. For this reason, in this paper we present a taxonomy of smart city features, dimensions, actions and goals, and, according to these variables, we survey the existing literature on recommender systems. As a result of our survey, we do not only identify and analyze main research trends, but also show current opportunities and challenges where personalized recommendations could be exploited as solutions for citizens, firms and public administrations.
PB Elsevier
YR 2020
FD 2020-09
LK https://hdl.handle.net/20.500.14352/115900
UL https://hdl.handle.net/20.500.14352/115900
LA eng
NO Lara Quijano-Sánchez, Iván Cantador, María E. Cortés-Cediel, Olga Gil, Recommender systems for smart cities, Information Systems, Volume 92, 2020, 101545, ISSN 0306-4379, https://doi.org/10.1016/j.is.2020.101545.
NO This work was supported by the Spanish Ministries of Economy, Spain, Industry and Competitiveness, Spain (TIN2016-80630-P), and Science, Innovation and Universities, Spain (CAS18/00035).
NO Ministerio de Economía y Competitividad
NO Ministerio de Ciencia, Innovación y Universidades
DS Docta Complutense
RD 19 abr 2025