Developing smart city services using intent‐aware recommendation systems: A survey
Smart cities could be defined as urban areas that use Information and Communication Technology (ICT) to solve city problems in efficient and sustainable ways. Intent‐aware Recommender Systems (IARS) within ICT play a crucial role in filtering useless information according to user demands and assist...
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Published in | Transactions on emerging telecommunications technologies Vol. 34; no. 4 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
01.04.2023
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Online Access | Get full text |
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Abstract | Smart cities could be defined as urban areas that use Information and Communication Technology (ICT) to solve city problems in efficient and sustainable ways. Intent‐aware Recommender Systems (IARS) within ICT play a crucial role in filtering useless information according to user demands and assist in decision‐making in various smart city platforms. In smart cities, the user traces on IoT, RFIDs, mobiles, and smart sensors capture actual user intent of performing an activity and enhance user satisfaction by proposing optimal services. This paper presents a detailed literature survey of the field of IARS and how it can be used for developing smart city services. First, we present the evolution of IARS with the development of computing technology. Then, we present case studies, synergies, advances, and a reference implementation architecture of IARS for smart cities. We discuss requirements for developing smart city services using IARS. Furthermore, we devise a comprehensive taxonomy of applications and techniques of IARS using different performance parameters. Finally, we elaborate on current issues, challenges, and future research directions in IARS; these directions we believe will pave the way for autonomous service provisioning in smart cities.
In smart cities, the user traces on IoT, RFIDs, mobiles, and smart sensors capture actual user intent of performing an activity and enhance user satisfaction by proposing accurate services. This article explores the role of Intent‐aware Recommender Systems within information and communication technologies for smart cities services development. |
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AbstractList | Smart cities could be defined as urban areas that use Information and Communication Technology (ICT) to solve city problems in efficient and sustainable ways. Intent‐aware Recommender Systems (IARS) within ICT play a crucial role in filtering useless information according to user demands and assist in decision‐making in various smart city platforms. In smart cities, the user traces on IoT, RFIDs, mobiles, and smart sensors capture actual user intent of performing an activity and enhance user satisfaction by proposing optimal services. This paper presents a detailed literature survey of the field of IARS and how it can be used for developing smart city services. First, we present the evolution of IARS with the development of computing technology. Then, we present case studies, synergies, advances, and a reference implementation architecture of IARS for smart cities. We discuss requirements for developing smart city services using IARS. Furthermore, we devise a comprehensive taxonomy of applications and techniques of IARS using different performance parameters. Finally, we elaborate on current issues, challenges, and future research directions in IARS; these directions we believe will pave the way for autonomous service provisioning in smart cities. Smart cities could be defined as urban areas that use Information and Communication Technology (ICT) to solve city problems in efficient and sustainable ways. Intent‐aware Recommender Systems (IARS) within ICT play a crucial role in filtering useless information according to user demands and assist in decision‐making in various smart city platforms. In smart cities, the user traces on IoT, RFIDs, mobiles, and smart sensors capture actual user intent of performing an activity and enhance user satisfaction by proposing optimal services. This paper presents a detailed literature survey of the field of IARS and how it can be used for developing smart city services. First, we present the evolution of IARS with the development of computing technology. Then, we present case studies, synergies, advances, and a reference implementation architecture of IARS for smart cities. We discuss requirements for developing smart city services using IARS. Furthermore, we devise a comprehensive taxonomy of applications and techniques of IARS using different performance parameters. Finally, we elaborate on current issues, challenges, and future research directions in IARS; these directions we believe will pave the way for autonomous service provisioning in smart cities. In smart cities, the user traces on IoT, RFIDs, mobiles, and smart sensors capture actual user intent of performing an activity and enhance user satisfaction by proposing accurate services. This article explores the role of Intent‐aware Recommender Systems within information and communication technologies for smart cities services development. |
Author | Rafique, Wajid Qadir, Junaid Hafid, Abdelhakim Senhaji |
Author_xml | – sequence: 1 givenname: Wajid orcidid: 0000-0003-0162-6921 surname: Rafique fullname: Rafique, Wajid email: rafiqwajid@gmail.com organization: University of Montreal – sequence: 2 givenname: Abdelhakim Senhaji surname: Hafid fullname: Hafid, Abdelhakim Senhaji organization: University of Montreal – sequence: 3 givenname: Junaid surname: Qadir fullname: Qadir, Junaid organization: College of Engineering, Qatar University |
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CitedBy_id | crossref_primary_10_1016_j_jclepro_2023_140027 crossref_primary_10_3390_electronics13112151 crossref_primary_10_1145_3700890 |
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