IoT-Enabled社交关系遇见人工社交智能
IoT-Enabled Social Relationships Meet Artificial Social Intelligence
摘要：
随着物联网的最新进展、无处不在的计算资源和移动设备的日益可访问性、富媒体内容的流行以及随之而来的社会、经济和文化变化，计算技术和应用在过去十年中迅速发展。它们现在超越了个人计算，促进了一般的协作和社交互动，导致物联网实体之间的社交关系迅速扩散。这些关系的数量越来越多，其异构的社交特征导致了计算和通信瓶颈，阻碍了物联网网络利用这些关系来改善所提供的服务和定制所交付的内容，这被称为关系爆炸。另一方面，人工智能在社会计算中应用的快速发展已经导致了一个被称为人工社会智能（ASI）的有前途的研究领域的出现，该领域具有解决社会关系爆炸问题的潜力。本文讨论了物联网在社会关系检测和管理中的作用，物联网中社会关系爆炸的问题，并回顾了使用ASI提出的解决方案，包括面向社会的机器学习和深度学习技术。
英文摘要：
With the recent advances of the Internet of Things, and the increasing accessibility of ubiquitous computing resources and mobile devices, the prevalence of rich media contents, and the ensuing social, economic, and cultural changes, computing technology and applications have evolved quickly over the past decade. They now go beyond personal computing, facilitating collaboration and social interactions in general, causing a quick proliferation of social relationships among IoT entities. The increasing number of these relationships and their heterogeneous social features have led to computing and communication bottlenecks that prevent the IoT network from taking advantage of these relationships to improve the offered services and customize the delivered content, known as relationship explosion. On the other hand, the quick advances in artificial intelligence applications in social computing have led to the emerging of a promising research field known as Artificial Social Intelligence (ASI) that has the potential to tackle the social relationship explosion problem. This paper discusses the role of IoT in social relationships detection and management, the problem of social relationships explosion in IoT and reviews the proposed solutions using ASI, including social-oriented machine-learning and deep-learning techniques.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
