A Smart City Mobile Application for Multitype, Proactive, and Context-Aware Recommender System

被引：0

作者：

Abu-Issa, Abdallatif ^{[1
]}

Nawawreh, Huda ^{[1
]}

Shreteh, Laila ^{[1
]}

Salman, Yassmeen ^{[1
]}

Hassouneh, Yousef ^{[1
]}

Tumar, Iyad ^{[1
]}

Hussein, Mohammad ^{[1
]}

机构：

[1] Birzeit Univ, Elect & Comp Engn Dept, Birzeit, Palestine

来源：

2017 INTERNATIONAL CONFERENCE ON ENGINEERING AND TECHNOLOGY (ICET) | 2017年

关键词：

Recommender Systems; Internet of Things (IoT); Context-Awareness; Mobile Application; Smart City;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a design and implementation of a multitype, proactive and context-aware recommender system in the environment of Internet of Things (IoT). The main features of this recommender system includes the consideration of the context of the user in recommendation, the ability to recommend multi-types in the same applications such as Restaurant, Gas Station, Attraction... etc.. . Also, the proposed recommender system is proactive, where the recommendations are pushed to the user without explicit query by him/her. The system was trained and tested. Then it was developed as Android application and tested by 50 users who filled a survey. The results show that the system got an overall accuracy of 91.2%. Also, as a mobile application, the majority of the users found this application useful in daily life (92%), support smart city operation (92%), and would recommend the application for others (86%).

引用

页数：4

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