Trust-Oriented Data Analytics in Online Social Networks. Trust-oriented data analytics is essential in online social networks for reducing deceitful interactions and enhancing trust between users. This project aims to systematically devise innovative solutions by considering rich social contextual information as an important source of trust. The expected outcomes of this project include innovative solutions from a fundamental perspective to the challenges of context-aware trust propagation, trus ....Trust-Oriented Data Analytics in Online Social Networks. Trust-oriented data analytics is essential in online social networks for reducing deceitful interactions and enhancing trust between users. This project aims to systematically devise innovative solutions by considering rich social contextual information as an important source of trust. The expected outcomes of this project include innovative solutions from a fundamental perspective to the challenges of context-aware trust propagation, trust network searching/matching, and trustworthy/malicious user prediction in online social networks. This project is significant as it will advance the knowledge base for enabling a trustworthy social networking environment, benefiting billions of Australian and worldwide online social network users.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101033
Funder
Australian Research Council
Funding Amount
$420,154.00
Summary
Scalable and Lightweight On-Device Recommender Systems. This project aims to address the resource-intensive and non-resilient nature of existing cloud-based personalised recommendation services. This project expects to generate new knowledge in the intersection of on-device machine learning and recommender systems. The expected outcomes include a novel auto-deployment platform that can efficiently customise a model for each user device's configuration, supporting on-device recommendation and mod ....Scalable and Lightweight On-Device Recommender Systems. This project aims to address the resource-intensive and non-resilient nature of existing cloud-based personalised recommendation services. This project expects to generate new knowledge in the intersection of on-device machine learning and recommender systems. The expected outcomes include a novel auto-deployment platform that can efficiently customise a model for each user device's configuration, supporting on-device recommendation and model updates with tiny computational footprints. The benefits of these outcomes will position Australia at the forefront of AI and give numerous businesses the tools needed to deploy innovative business systems with a secure and cost-effective advantage.Read moreRead less
Towards Generalisable and Unbiased Dynamic Recommender Systems. This project aims to develop the foundations, including models, methodology, and algorithms for building generalisable and unbiased dynamic recommender systems to facilitate intelligent decision-making, prompt contextualised and personalised strategic plans, and support context-aware action recourse. To ensure that fundamental principles, such as fairness and transparency, are respected, a set of algorithms and techniques are propos ....Towards Generalisable and Unbiased Dynamic Recommender Systems. This project aims to develop the foundations, including models, methodology, and algorithms for building generalisable and unbiased dynamic recommender systems to facilitate intelligent decision-making, prompt contextualised and personalised strategic plans, and support context-aware action recourse. To ensure that fundamental principles, such as fairness and transparency, are respected, a set of algorithms and techniques are proposed to develop recommender systems in a more responsible manner. The result of this project will not only maintain Australia's leadership in this frontier research area, but also serve as an excellent vehicle for the education and training of Australia's next generation of scholars and engineers.Read moreRead less
Privacy-Aware and Personalised Explanation Overlays for Recommender Systems. AI-powered recommender systems provide recommendations for daily lives, but they need to be legally interpretable and explainable. This project aims to transform existing black-box recommender models into transparent and trustworthy decision-support systems. The resulting tools will offer granular, explorable rationales for the recommendations in real time, creating greater public confidence while advancing the field. ....Privacy-Aware and Personalised Explanation Overlays for Recommender Systems. AI-powered recommender systems provide recommendations for daily lives, but they need to be legally interpretable and explainable. This project aims to transform existing black-box recommender models into transparent and trustworthy decision-support systems. The resulting tools will offer granular, explorable rationales for the recommendations in real time, creating greater public confidence while advancing the field. The expected outcomes include graph embedding methods for capturing real-world relationships in all their messiness and complexity. The anticipated contributions include impartial and accountable recommender models that are resistant to adversarial attacks and that slow the spread of misinformation.Read moreRead less
Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating ....Computational Mechanisms of Online Attention Markets. The internet has operated as an major exchange of information and attention for the past few decades, yet surprisingly little is known about how individual choices and collective attention interact, let alone about how different parties can influence or control it. This project aims to uncover the mathematical underpinnings between individual actions and collective trends in online attention market, design computational methods for estimating and influencing attention allocation, and enable applications where content consumers, producers, hosting platforms and regulatory bodies are each empowered with their share of influence in the attention market.Read moreRead less
Information Systems Enabled Corporate Transformation: Evaluation of Electronic Customer Relationship Management in the Service Sector. Customer relationship management (CRM) is a business and marketing strategy that integrates technology, process and business activities around the customer. Only 30% of electronic CRM efforts have been successfully implemented because stakeholder expectations are typically neglected. This issue underlines the importance of the ?soft? organisational issues involve ....Information Systems Enabled Corporate Transformation: Evaluation of Electronic Customer Relationship Management in the Service Sector. Customer relationship management (CRM) is a business and marketing strategy that integrates technology, process and business activities around the customer. Only 30% of electronic CRM efforts have been successfully implemented because stakeholder expectations are typically neglected. This issue underlines the importance of the ?soft? organisational issues involved with the evaluation of information systems. By evaluating the change management process and modelling the impact of e-CRM enabled change, management strategies will be developed to enable its successful implementation. The research will provide a greater understanding for evaluating the performance of e-CRM solutions, as well as uncover opportunities for organisational related change.Read moreRead less
Preventing railway suicide: An open-systems perspective. Preventing railway suicide: An open-systems perspective. This project aims to develop an automated suicide risk detection system to reduce the incidence and impact of railway suicide, which has a devastating effect on victims’ families, station staff, train drivers, emergency workers, and bystanders. This project will use open-systems theory to develop two complementary information systems for more effective detection and reporting of suic ....Preventing railway suicide: An open-systems perspective. Preventing railway suicide: An open-systems perspective. This project aims to develop an automated suicide risk detection system to reduce the incidence and impact of railway suicide, which has a devastating effect on victims’ families, station staff, train drivers, emergency workers, and bystanders. This project will use open-systems theory to develop two complementary information systems for more effective detection and reporting of suicide risk; use these systems to investigate how different situational factors interact with different combinations of service interventions to influence suicide risk; and share the findings to reduce railway suicide in Australia and overseas.Read moreRead less
Service Ecosystems Management for Collaborative Process Improvement. Australian government agencies currently explore opportunities for streamlining their business processes. A promising approach relates to the improvement of cross-agency processes based on service-enabled technologies. This project will use requirements within Queensland Government for the design of a service ecosystem and methodological and management concepts to derive a general framework for intra-organisational ecosystems. ....Service Ecosystems Management for Collaborative Process Improvement. Australian government agencies currently explore opportunities for streamlining their business processes. A promising approach relates to the improvement of cross-agency processes based on service-enabled technologies. This project will use requirements within Queensland Government for the design of a service ecosystem and methodological and management concepts to derive a general framework for intra-organisational ecosystems. Though the focus will be on government processes, the project will generalise beyond this scope for a wider uptake of service ecosystems in Australian organisations. This will lead to reduced process costs and risks and will leverage the exploration of new revenue streams, e.g. shared services and reward schemes.Read moreRead less
Organisational Motivation as a Predictor of Benefits from the Adoption of Information Technology. IOS are becoming increasingly important for organisations to remain competitive in a global marketplace. By using organisational motivations to better understand how to design and structure the processes for IOS implementation and set more realistic expectation, Australian organisations will be able to develop more effective, evidence-based methods for IOS implementation. The theory being tested is ....Organisational Motivation as a Predictor of Benefits from the Adoption of Information Technology. IOS are becoming increasingly important for organisations to remain competitive in a global marketplace. By using organisational motivations to better understand how to design and structure the processes for IOS implementation and set more realistic expectation, Australian organisations will be able to develop more effective, evidence-based methods for IOS implementation. The theory being tested is an original contribution in a growing area of information technology research. The data and rigorously tested research protocols developed will enhance Australia'a research standing, contribute to university teaching and researcher training, and improve the effectiveness and efficiency of the Australian information technology industry. Read moreRead less
Adoption of electronic commerce-enabled supply chain management: a trans-national comparison study. The framework developed will allow practitioners to identify an appropriate strategy to promote the adoption of EC-enabled SCM in developing countries. By including Indonesia and China as two of Australia's large trading partners in this study, the relationships can be further enhanced, leading to an increase in Australia's export market and improvement in national productivity and growth. Through ....Adoption of electronic commerce-enabled supply chain management: a trans-national comparison study. The framework developed will allow practitioners to identify an appropriate strategy to promote the adoption of EC-enabled SCM in developing countries. By including Indonesia and China as two of Australia's large trading partners in this study, the relationships can be further enhanced, leading to an increase in Australia's export market and improvement in national productivity and growth. Through wider adoption of EC-enabled SCM by Australia's trading partners, Australia can trade with them more efficiently. The empirical data and the research instruments developed will also enhance Australia's research standing and contribute to university teaching and research training. Read moreRead less