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Grant Award View - GA29178

Challenging big data for scalable, robust and real-time recommendations

Contact Details

ARC NCGP General Enquiries

:
02 6287 6600

:

GA ID:
GA29178
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Publish Date:
18-Dec-2018
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
8-Mar-2019 to 31-Dec-2023
Original: 1-Jan-2019 to 31-Dec-2021
Value (AUD):
$350,000.00 (GST inclusive where applicable)
Variations:

One-off/Ad hoc:
No
Aggregate Grant Award:
No

PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Challenging big data for scalable, robust and real-time recommendations
Purpose:
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.

GO ID:
GO Title:
Discovery Projects commencing in 2019
Internal Reference ID:
DP19 Round 1
Selection Process:
Targeted or Restricted Competitive

Confidentiality - Contract:
No
Confidentiality - Outputs:
No

Grant Recipient Details

Recipient Name:
The University of Queensland
Recipient ABN:
63 942 912 684

Grant Recipient Location

Suburb:
ST LUCIA
Town/City:
ST LUCIA
Postcode:
4067
State/Territory:
QLD
Country:
AUSTRALIA

Grant Delivery Location

State/Territory:
QLD
Postcode:
4067
Country:
AUSTRALIA

Contact Details

ARC NCGP General Enquiries

:
02 6287 6600

: