Contextual Behabiour Predictions in Dynamic Mobile E-commerce

动态移动电子商务中的情境行为预测

• 批准号: DP220103717
• 负责人: Prof Guandong Xu
• 金额: $ 29.13万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-03-18 至 2025-03-17
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220103717
• 关键词: Contextual; Behabiour; Predictions; Dynamic; Mobile

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.

该项目旨在解决行为预测，并开发用于建模，预测人类行为的新颖技术和工具，并根据移动电子商务中无处不在的用户行为数据提出有效的建议。这些技术使多源数据融合，上下文学习和模型适应以及具有可解释性能力的动态建议。预期的结果包括数据分析理论和知情决策的进步。这不仅使澳大利亚置于动态电子商务中的多模式用户行为大数据的最前沿，还将澳大利亚政府和企业转变为适应复杂情况的智能和上下文服务。