Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP140100104
Funding Status
Closed
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Funded Activity Summary
Effective Recommendations based on Multi-Source Data. Large-scale data collected from multiple sources such as the Web, sensor networks, academic publications, and social networks provide a new opportunity to exploit useful information for effective and efficient recommendations and decision making. The project will propose a new framework of recommender systems that is based on analysing relationships between different types of objects from multiple data sources. A graph model will be built to represent the extracted semantic relationships and novel linkage-analysis based algorithms will be developed for ranking objects. The results from this project will underpin many critical applications such as healthcare.Funded Activity Details
Start Date: 2014
End Date: 04-2017
Funding Scheme: Discovery Projects
Funding Amount: $411,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Pattern Recognition and Data Mining | Database Management | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Health and Support Services not elsewhere classified | Application Software Packages (excl. Computer Games) | Electronic Information Storage and Retrieval Services |
