Continuous intent tracking for virtual assistance using big contextual data

使用大上下文数据进行虚拟协助的持续意图跟踪

• 批准号: DP180102050
• 负责人: A/Prof Jianzhong Qi
• 金额: $ 23.96万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-05-17 至 2021-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP180102050
• 关键词: Continuous; intent; tracking; virtual; assistance

Recently launched Virtual Assistant products such as Amazon Echo and Google Home are commanded by voice and can call apps to do simple tasks like setting timers and playing music. The next-generation virtual assistants will recommend things to be done proactively rather than waiting for commands passively. This project aims to develop algorithms that can predict what a user intends to do and therefore help virtual assistants make recommendations that suit users’ needs accurately. It will benefit many service industry sectors of Australia by enabling virtual assistants to provide services proactively.

最近推出的虚拟助手产品，如亚马逊Echo和谷歌Home，都是通过语音命令的，可以调用应用程序来完成设置计时器和播放音乐等简单任务。下一代虚拟助手将主动推荐要做的事情，而不是被动地等待命令。该项目旨在开发算法，可以预测用户打算做什么，从而帮助虚拟助手准确地提出适合用户需求的建议。它将使澳大利亚的许多服务行业受益，使虚拟助理能够主动提供服务。