Creating Personalized Recommendations in a Smart Community by Performing User Trajectory Analysis through Social Internet of Things Deployment

• Published in: Sensors (Basel, Switzerland) Vol. 20; no. 7; p. 2098
• Main Authors: Lye, Guang Xing, Cheng, Wai Khuen, Tan, Teik Boon, Hung, Chen Wei, Chen, Yen-Lin
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 08.04.2020; MDPI
• Subjects: Algorithms; Collaboration; Customization; Datasets; Internet of Things; Methods; Performance management; personalized recommendation; recommender engine; Recommender systems; service discovery; smart community; Social Internet of Things (SIoT); Social research; User behavior; User profiles; user trajectory analysis; recommender engine; personalized recommendation; service discovery; user trajectory analysis; smart community; Social Internet of Things (SIoT)

Despite advancements in the Internet of Things (IoT) and social networks, developing an intelligent service discovery and composition framework in the Social IoT (SIoT) domain remains a challenge. In the IoT, a large number of things are connected together according to the different objectives of th...