An Intention Tree based Model for Social Needs

Du Rong, Hanchuan Xu, Junrui Tian, Nan Li, Zhiying Tu, Zhongjie Wang
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Abstract

With the application of more and more new technologies, such as cloud computing, IoT, and big data, the available intelligent service scenarios become complex. For better service identification and recommendation, conversational AI bots need to construct user needs expression models accurately. Most traditional user needs expression models could do better in individual tasks but nearly not support the social requirements. To solve the challenge before, this study expands the Intention Tree Model for Personal Needs(ITM-PN) to the Intention Tree Model for Social Needs based on Negotiation(ITM-SN) to model different users’ needs during the process of multi-user negotiation(initial, processing, ending). And finally, this study conducted a case study to prove the ITM-SN is thoroughly and effectively, which could be widely applicable in many fields.
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基于意向树的社会需求模型
随着云计算、物联网、大数据等新技术越来越多的应用,可用的智能服务场景越来越复杂。为了更好地识别和推荐服务,会话AI机器人需要准确地构建用户需求表达模型。大多数传统的用户需求表达模型可以在单个任务中做得更好,但几乎不支持社会需求。为了解决之前的挑战,本研究将个人需求意愿树模型(ITM-PN)扩展到基于协商的社会需求意愿树模型(ITM-SN),对多用户协商过程中的不同用户需求(初始、处理、结束)进行建模。最后,通过案例研究,证明了ITM-SN是全面有效的,可以广泛应用于许多领域。
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