Towards Generalisable and Unbiased Dynamic Recommender Systems

迈向可推广且无偏见的动态推荐系统

• 批准号: DP230100233
• 负责人: Prof Michael Sheng
• 金额: $ 31.69万
• 依托单位: Macquarie University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230100233
• 关键词: Towards; Generalisable; Unbiased; Dynamic; Recommender

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.

该项目旨在开发基础，包括模型、方法论和算法，用于构建通用且无偏见的动态推荐系统，以促进智能决策，促进情境化和个性化的战略计划，并支持情境感知的行动资源。为了确保公平和透明等基本原则得到尊重，提出了一套算法和技术，以更负责任的方式开发推荐系统。该项目的成果不仅将保持澳大利亚在这一前沿研究领域的领先地位，还将成为教育和培训澳大利亚下一代学者和工程师的绝佳载体。