Mobile User Modeling for Intelligent Recommendation

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了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推荐服务，如个性化旅行计划和旅游服务。该项目旨在开发一个移动用户建模框架，根据移动用户在地理社交网络中的日常活动记录和社会关系，准确地推断移动用户与地点、时间相关的兴趣和空间流动模式。然后，它打算将这些知识结合起来，建立一个智能推荐系统。项目成果和技术可应用于各种基于位置的服务、移动广告和营销。

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.