Recommender systems for e-governance in smart cities: State of the art and research opportunities

被引:19
作者
Cortes-Cediel, Maria E. [1 ]
Cantador, Ivan [2 ]
Gil, Olga [1 ]
机构
[1] Univ Complutense Madrid, Fac Ciencias Polit & Sociol, Madrid, Spain
[2] Univ Autonoma Madrid, Escuela Politecn Super, Madrid, Spain
来源
PROCEEDINGS OF INTERNATIONAL WORKSHOP ON CITIZENS FOR RECOMMENDER SYSTEMS (CITREC 2017) | 2017年
关键词
recommender systems; e-governance; e-government; smart cities; E-GOVERNMENT SERVICES;
D O I
10.1145/3127325.3128331
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
E-governance can be considered as the core and most important challenge of smart cities initiatives. It refers to the use of information and communication technologies in the public sector with the aim of improving information and service delivery, reinforcing government transparency, accountability and credibility, and encouraging citizen participation in decision-making processes. In this paper, we survey the state of the art in recommender systems for the e-governance domain, showing that there are few studies on the topic and that published recommendation approaches are quite simple and focus on a very limited number of applications. Moreover, we propose a number of challenging e-governance scenarios where recommender systems could be exploited, and thus represent new research opportunities.
引用
收藏
页数:6
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