Research Grant
[Cite as https://purl.org/au-research/grants/arc/DE160100308]Researchers: Professor Hongzhi Yin (Discovery Early Career Researcher Award)
Brief description Mobile User Modeling for 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.
Funding Amount $300,000
Funding Scheme Discovery Early Career Researcher Award
- PURL : https://purl.org/au-research/grants/arc/DE160100308
- ARC : DE160100308