Discovery Projects - Grant ID: DP190101985

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP190101985

Funding Status
Active

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Funded Activity Summary

Challenging big data for scalable, robust and real-time recommendations. With the advent of big data era, recommender systems are facing unprecedented challenges with respect to the four dimensions of big data: big volume, low veracity, high velocity and high variety. This project aims to develop a new generation of cost-effective techniques for scalable, robust and real-time recommendations utilising big data. This project aims to address these challenges to achieve scalable, robust and real-time recommendations. This project will devise a series of cost-effective machine learning methods and schemes to deliver an end-to-end recommender framework. This project has the potential to significantly reduce the energy consumption of large-scale recommender systems as well as facilitating an increase in the use of recommendation applications for big data.

Funded Activity Details

Start Date: 08-03-2019

End Date: 31-12-2023

Funding Scheme: Discovery Projects

Funding Amount: $350,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Information Systems | Information Systems Development Methodologies | Pattern Recognition and Data Mining | Database Management |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Application Tools and System Utilities

Other Keywords

Application Tools and System Utilities | Database Management | Expanding Knowledge in the Information and Computing Sciences | Information Systems | Information Systems Development Methodologies | Pattern Recognition and Data Mining

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