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Grant Award View - GA214551-V1
Contextual Behabiour Predictions in Dynamic Mobile E-commerce
GA ID:
GA214551-V1
Agency:
Australian Research Council
Approval Date:
14-Jan-2022
Variation Publish Date:
4-Jul-2023
Variation Date:
21-Jun-2023
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
18-Mar-2022 to 17-Mar-2025
Value (AUD):
$405,000.00
(GST inclusive where applicable)
Varies:
GA214551
- Contextual Behabiour Predictions in Dynamic Mobile E-commerce
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 21/22 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Contextual Behabiour Predictions in Dynamic Mobile E-commerce
Purpose:
The project aims to address behaviour prediction and develop novel techniques and tools for modelling, predicting human behaviours and making effective recommendations based on ubiquitous user behaviour data in mobile e-commerce. The techniques enable multi-source data fusion, context learning and model adaptation, and dynamic recommendation with interpretability ability. Expected outcomes include advances in data analytics theory and informed decision-making. This provides significant benefits of not only placing Australia in the forefront of exploiting multimodal user behaviour big data in dynamic e-commerce but also transforming Australian government and businesses to intelligent and contextual services adaptive to complex situations.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2022
Internal Reference ID:
DP22 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
University of Technology Sydney
Recipient ABN:
77 257 686 961
Grant Recipient Location
Suburb:
ULTIMO
Town/City:
ULTIMO
Postcode:
2007
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2007
Country:
AUSTRALIA