Cloud information experience platform based on augmented reality in the background of Social Internet of Things

2021 ◽  
Author(s):  
Biao Dai
Keyword(s):  
Augmented Reality ◽  
Internet Of Things ◽  
Social Internet Of Things

MSIoT: Mobile Social Internet of Things, A New Paradigm

2020 ◽  
Author(s):  
Ali Mamourian Esfahani ◽  
Amir Masoud Rahmani ◽  
Ahmad Khademzadeh
Keyword(s):  
Internet Of Things ◽  
New Paradigm ◽  
Social Internet Of Things

Trust Management in Social Internet of Things: Architectures, Recent Advancements and Future Challenges

2020 ◽  
pp. 1-1
Author(s):  
Wazir Zada Khan ◽  
Qurat-ul-Ain Arshad ◽  
Saqib Hakak ◽  
Muhammad Khurram Khan ◽  
Saeed-Ur-Rehman
Keyword(s):  
Internet Of Things ◽  
Trust Management ◽  
Social Internet Of Things ◽  
Future Challenges

Learning to Solve Task-Optimized Group Search for Social Internet of Things

2021 ◽  
pp. 1-1
Author(s):  
Chen-Hsu Yang ◽  
Hong-Han Shuai ◽  
Chih-Ya Shen ◽  
Ming-Syan Chen
Keyword(s):  
Internet Of Things ◽  
Social Internet Of Things ◽  
Group Search

scholarly journals Effective and Efficient Steiner Maximum Path-Connected Subgraph Search in Large Social Internet of Things

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Xiaolin Fan ◽  
Yuan Li ◽  
Jing Sun ◽  
Yuhai Zhao ◽  
Guoren Wang
Keyword(s):  
Internet Of Things ◽  
Connected Subgraph ◽  
Social Internet Of Things ◽  
Path Connected

scholarly journals Graph-based service recommendation in Social Internet of Things

2021 ◽  
Vol 17 (4) ◽  
pp. 155014772110090
Author(s):  
Yuanyi Chen ◽  
Yanyun Tao ◽  
Zengwei Zheng ◽  
Dan Chen
Keyword(s):  
Internet Of Things ◽  
Social Relationships ◽  
Latent Variable ◽  
Smart Cities ◽  
Knowledge Graph ◽  
Service Recommendation ◽  
Variable Model ◽  
Completion Problem ◽  
Social Internet Of Things ◽  
Object Usage

While it is well understood that the emerging Social Internet of Things offers the capability of effectively integrating and managing massive heterogeneous IoT objects, it also presents new challenges for suggesting useful objects with certain service for users due to complex relationships in Social Internet of Things, such as user’s object usage pattern and various social relationships among Social Internet of Things objects. In this study, we focus on the problem of service recommendation in Social Internet of Things, which is very important for many applications such as urban computing, smart cities, and health care. We propose a graph-based service recommendation framework by jointly considering social relationships of heterogeneous objects in Social Internet of Things and user’s preferences. More exactly, we learn user’s preference from his or her object usage events with a latent variable model. Then, we model users, objects, and their relationships with a knowledge graph and regard Social Internet of Things service recommendation as a knowledge graph completion problem, where the “like” property that connects users to services needs to be predicted. To demonstrate the utility of the proposed model, we have built a Social Internet of Things testbed to validate our approach and the experimental results demonstrate its feasibility and effectiveness.

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