A smart city mobile application for multitype, proactive, and context-aware recommender system

Abu-Issa, Abdallatif; Nawawreh, Huda; Shreteh, Laila; Salman, Yassmeen; Hassouneh, Yousef; Tumar, Iyad; Hussein, Mohammad

doi:10.1109/icengtechnol.2017.8308181

Cited by 20 publications

(18 citation statements)

References 10 publications

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“…has the study an adequate description of the technologies being used?). An application to assist drivers [83] A polling mobile application [84] An application to provide public alerts [85] An application to promote the role of the citizens as collectors of data to inform the development and utilization of the urban services [86] An application aiming to stimulate the active participation of citizens in generating and sharing useful comments related to the quality of air [87] An application that gathers contextual information and displays a map with an approximate distribution of free parking areas nearby to the users' position [88] A logistic application to guarantee that delivery items are held under proper environmental conditions [89] An application to assess real-time congestion on roads [90] A participatory sensing application [91] An application aiming the improvement of shopping experience [92] An application to help their users to avoid walking through noisy areas [93] An application able to offer personalized recommendations of exercise routes according to the users' health condition [94] An application aiming to provide multi-type recommendations [95] An air quality monitoring application aiming to submit personalized alerts whenever air quality-related health risks are detected [96] An application to determine emotional status and satisfaction level of tourists during sightseeing by using unconscious and natural tourist actions…”

Section: Methodological Quality Assessmentmentioning

confidence: 99%

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Systematic literature review of context-awareness applications supported by smart cities’ infrastructures

et al. 2022

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Since none of the existing systematic reviews of the literature related to smart cities have focused on smart cities applications using context-aware features, this study aims to provide a comprehensive view of (1) the characteristics of context-aware applications supported by smart cities’ infrastructures, (2) the characteristics of the context-aware technologies being used, and (3) the maturity level of the identified applications. An electronic search was conducted on Scopus, Web of Science, and IEEE Xplore databases, combining relevant keywords. After the studies’ selection, 27 studies were included. The results show the interest in using context-aware features to develop smart cities’ applications targeting public health, tourism experience, urban mobility, active citizenship, shopping experience, management of urban infrastructures, public alerts, recommenders, and smart environments. Moreover, the applications reported by the included studies do not allow the execution of actions without the explicit consent of the users, and they integrate personal sensors, sensors deployed in the city and crowdsourcing mechanisms to acquire primary context attributes (i.e., location, activity, and environment) and secondary context attributes (i.e., speed, physical activity, points of interest, stress, and tourists’ emotions). In addition, the included studies present scarce details about context reasoning, data privacy, integrity, and confidentiality, data aggregation and accuracy, and data interoperability. Finally, the results also indicate low maturity level of the developed applications, which is evidenced by the lack of user-centred evaluations, as well as by the difficulty in integrating important technologies being developed for smart cities.

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Section: Methodological Quality Assessmentmentioning

confidence: 99%

“…Moreover, as shown by the diagram of Fig. 2, 74% of the studies (i.e., 20 studies [89][90][91][92][93][94][95][96][97][98][99][100][101][102][103][104][105][106][107][108]) were published since 2017 and there is a trend towards an increasing number of publications over the years.…”

Section: Demographics Of the Studiesmentioning

confidence: 99%

Systematic literature review of context-awareness applications supported by smart cities’ infrastructures

et al. 2022

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“…This model uses the hybrid recommendation technique combined with collaborative filtering over content-based filtering with similarity matrix k-nearest neighbour. Abu-issa et al (2020) presented the design and implantation of a mobile-based application known as multi-type proactive CARS. It includes the user context and can provide multi-type recommendations.…”

Section: Context-aware Iot Recommender Systemmentioning

confidence: 99%

An Era of Recommendation Technologies in IoT: Categorisation by techniques, Challenges and Future Scope

Ahlawat¹,

Rana²

2021

JST

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The evolution of the Internet of Things (IoT) accelerates the augmentation of data present on the Internet and possibilities for connections to the more dynamic and heterogeneous devices to the Internet. Recommendation technologies have proven their capabilities of digging the personalised information by proactive filtering in many application domains and can also be a backbone platform in IoT for identifying personalised things, services and relevant artefacts by prevailing over information overload problems. This paper is a comprehensive literature review that categorises IoT recommender systems by exploring the literature’s different IoT based recommendation techniques. We conclude the paper by discussing the challenges and future scope for IoT based recommendations techniques to advancing and widening the frontiers of this research area.

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“…They studied the usage of beneficial and efficient application for lightning system. -Issa, et al (2017) has conducted a research on the usage of android device to give recommendation. They stated that it gives benefits to daily life and support smart city operation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As the application is assumed to be easy, it can result in the usefulness of users. Detail of statistic test can be seen in the appendix 2, table 8 for current statistic test, while table 9 for new model Abu-Issa, et al (2017). also concerns that the issue of benefits is majorly effect to the application of smart city device.…”

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confidence: 99%

The Characteristics of Responses to Smart City Device Usage, Maqasid Shariah (The Objective of Shariah) Perspective: The Case of Kota Depok, West Java, Indonesia

Siswantoro

2019

IQTISHADIA

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The research aims to analyze the characteristics of smart city device usage from maqasid shariah perspective. The smart city device was developed to support users to fulfill their needs which actually relates to maqasid shariah. Therefore, the higher rate of smart city device usage will increase the quality of life. This includes such factors that make people use this device. This research employs the quantitative method based on the questionnaires distributed to the people of Kota Depok, Indonesia. This device is supposed to increase the activity level of smart city. In fact, only few people use smart city device for their needs and purposes. The benefit of the device is a significant factor to use the smart city device. In addition, not all maqasid shariah aspects covered in the smart city device of Kota Depok.

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A smart city mobile application for multitype, proactive, and context-aware recommender system

Cited by 20 publications

References 10 publications

Systematic literature review of context-awareness applications supported by smart cities’ infrastructures

Systematic literature review of context-awareness applications supported by smart cities’ infrastructures

An Era of Recommendation Technologies in IoT: Categorisation by techniques, Challenges and Future Scope

The Characteristics of Responses to Smart City Device Usage, Maqasid Shariah (The Objective of Shariah) Perspective: The Case of Kota Depok, West Java, Indonesia

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