Effective Recommendation for Web of Things

物联网有效推荐

• 批准号: DE160100509
• 负责人: Prof Lina Yao
• 金额: $ 26.28万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-01-01 至 2020-03-10
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE160100509
• 关键词: Effective; Recommendation; Web; Things

This project seeks to generate novel techniques for the efficient recommendation of things by the smart use of information generated from the ‘Internet of things’. The ‘Internet of things’ will connect billions of physical things over the web, which will offer exciting capabilities to improve the quality of human lives. This project focuses on effective recommendation of things of interest, and aims to develop new techniques and a set of software tools for effectively and proactively discovering and recommending things. The result of this project may underpin applications (eg smart cities) that will contribute to Australian society and the national economy.

该项目旨在通过巧妙使用“物联网”生成的信息来生成有效推荐事物的新颖技术。“物联网”将通过网络连接数十亿个物理事物，这将为改善人类生活质量提供令人兴奋的能力。该项目的重点是有效地推荐感兴趣的事物，旨在开发新的技术和一套软件工具，以有效地和主动地发现和推荐事物。该项目的结果可能会支持将有助于澳大利亚社会和国民经济的应用（例如智能城市）。