Intelligent Travel Advisor: A Goal Oriented Virtual agent with Task Modeling, Planning and User Personalization
Intelligent Travel Advisor: A Goal Oriented Virtual agent with Task Modeling, Planning and User Personalization
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智能旅行顾问：具有任务建模、规划和用户个性化功能的面向目标的虚拟代理
DOI：
10.1145/3267851.3267885
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
P. Debnath
中科院分区：
文献类型：
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作者：
Roshni Ramnani;Shubhashis Sengupta;P. Debnath
我们提出了一个面向目标的虚拟代理的任务规划，推理和用户个性化。代理的对话系统以任务图的形式对活动进行建模。这些任务的协调和规划是通过相关的约束和相互依赖来完成的。例如，该系统使用个人的交互历史和基本用户偏好模型来创建个性化的旅行计划体验。复杂的自然语言理解技术用于识别来自用户的多个意图和部分用户话语。在这个演示中，我们展示了虚拟代理如何通过执行多种相关活动来帮助用户组织他/她的一天，包括安排会议，检索航班行程，通过分析交通模式做出路由决策，检索酒店住宿选项，并通过与多个外部系统以及决策支持引擎和知识图集成来建议餐馆。
We present a goal oriented virtual agent for task planning, inference and user personalization. The dialog system of the agent models the activities in the form of a task graph. Coordination and planning of these tasks are done through associated constraints and interdependencies. The system uses the interaction history of an individual and a basic user preference model to create a personalized travel planning experience, as an example. Sophisticated natural language understanding techniques are used to identify multiple intents from user, and partial user utterances. In this demonstration we show how the virtual agent can be used to help the user organize his/her day by performing a multitude of related activities including scheduling meetings, retrieving flight itineraries, making routing decisions by analyzing traffic patterns, retrieving hotel accommodation options and suggesting restaurants by integrating with multiple external systems as well as a decision support engine and knowledge graph.