Advanced analytics utilising conjoint mining of data and content with applications in business, bio-medicine and electrical power systems. This project will provide techniques that enable effective analysis of unstructured content and related information from relational databases in a conjoint manner. These techniques will be applied in the business, bio-medicine and electrical power systems domains.
User-Adaptive Search and Evaluation for Complex Information-Seeking Tasks. This project plans to develop a new evaluation framework to understand and characterise web users and their situation within complex, multi-faceted search tasks, exemplified through job-search. While evaluation of web search engine effectiveness is relatively well understood, measuring information retrieval performance in the context of complex tasks with heterogeneous users is a largely neglected problem. This project pl ....User-Adaptive Search and Evaluation for Complex Information-Seeking Tasks. This project plans to develop a new evaluation framework to understand and characterise web users and their situation within complex, multi-faceted search tasks, exemplified through job-search. While evaluation of web search engine effectiveness is relatively well understood, measuring information retrieval performance in the context of complex tasks with heterogeneous users is a largely neglected problem. This project plans to mine user-specific characteristics and situations from complex profiles and interaction logs for online information services run by the industry partner, SEEK. The new techniques are intended to redefine understanding of task-oriented search, and have the potential to reinvent the user experience for complex search tasks. This project will transform how practical search systems are measured within complex task scenarios. This will result in substantial economic impact by enabling businesses providing task-based search services to provide more customized offerings. Within the target domain (job search), this greatly enhances a service highly relevant to Australia's productivity.Read moreRead less
Data sharing with strong privacy against inference attacks. This project aims to develop theories and techniques for strong protection of personal information in sharing large datasets such as national health data or census records. It intends to achieve this through developing new information theoretic methods for synthesising datasets with proven high fidelity and protection against re-identification and inference attacks, where attackers try to learn probability of sensitive data. The expecte ....Data sharing with strong privacy against inference attacks. This project aims to develop theories and techniques for strong protection of personal information in sharing large datasets such as national health data or census records. It intends to achieve this through developing new information theoretic methods for synthesising datasets with proven high fidelity and protection against re-identification and inference attacks, where attackers try to learn probability of sensitive data. The expected outcomes are algorithms for public and private sector data curators to dial up or down their data access arrangements based on privacy risks and fidelity demands linked with different data types and uses. This project intends to enable Australians to securely benefit from valuable data in decision making.Read moreRead less
Trust-enhanced recommender systems for personalised government-to-business e-service. This study will transform current Government to Business service to a higher level to enable e-Government systems to offer Personalised e-Service. It will assist business users to significantly increase their use of e-Government services, particularly providing an effective solution to small and medium size businesses for locating business partners by using Government e-Services.