grant

Discovery Projects - Grant ID: DP140100104 [ 2014-01-01 - 2017-04-30 ]

Research Grant

[Cite as http://purl.org/au-research/grants/arc/DP140100104]

Researchers: A/Prof Xue Li (Chief Investigator) ,  A/Prof Michael Sheng (Chief Investigator) ,  A/Prof Robert Boots (Partner Investigator) ,  Prof Jeffrey Lipman (Partner Investigator)

Brief description 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.

Funding Amount $411,000

Funding Scheme Discovery Projects

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