Mobile User Modeling for Intelligent Recommendation

智能推荐的移动用户建模

• 批准号: DE160100308
• 负责人: Prof Hongzhi Yin
• 金额: $ 21.02万
• 依托单位: The University of Queensland
• 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 2018-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE160100308
• 关键词: Mobile; User; Modeling; Intelligent; Recommendation

This project aims to develop effective and efficient techniques to enable individuals, business and government to better understand and exploit knowledge in human daily activity data and to provide higher quality mobile recommendation services such as personalised trip planning and tourist services. The project intends to develop a mobile user modelling framework which accurately infers mobile users' location-time-dependent interests and spatial mobility patterns from their daily activity records and social ties in geo-social networks. It then intends to combine this knowledge to build an intelligent recommender system. The project outcomes and techniques could be applied in various location-based services, mobile advertising and marketing.

该项目旨在开发有效和高效的技术，使个人、企业和政府能够更好地理解和利用人类日常活动数据中的知识，并提供更高质量的移动的推荐服务，例如个性化旅行计划和旅游服务。该项目旨在开发一个移动的用户建模框架，该框架可以从地理社会网络中的日常活动记录和社会联系中准确推断出移动的用户的位置-时间相关兴趣和空间移动模式。然后，它打算结合联合收割机这些知识，建立一个智能推荐系统。该项目的成果和技术可以应用于各种基于位置的服务，移动的广告和营销。