Design and Implementation of Sentence Similarity Matching and Multimedia Feedback for Intelligent Pharmacy on Zenbo Robot

Che-Wen Chen, Bo-Rui Chen, Shih-Pang Tseng, Jhing-Fa Wang
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引用次数: 1

Abstract

In recent years, artificial intelligence has developed rapidly, and robots have become the object of research and development. The robots can be seen in various exhibition venues or public places. This paper proposes a customer service system on robots for pharmacy. The system includes question and answer and multimedia feedback about pharmacy. The whole system is divided into two parts. One is the expert system for pharmacy, the other is multimedia feedback. The expert system we designed includes health knowledge question and answer, product location, special disease related issues, etc. We uses the question and answer method to present these functions, obtain the highest similarity score through the similarity calculation, and then search for the knowledge base answer and the result is passed back to the user. The other part is the multimedia feedback function, which has many functions related to the pharmacy in the system. Through these feedbacks, you can understand the current operation status of the pharmacy or related activities.
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Zenbo机器人智能药房句子相似度匹配与多媒体反馈的设计与实现
近年来,人工智能发展迅速,机器人成为研究和开发的对象。这些机器人可以在各种展览场所或公共场所看到。本文提出了一种基于机器人的药房客户服务系统。该系统包括药学问答和多媒体反馈。整个系统分为两部分。一是药学专家系统,二是多媒体反馈系统。我们设计的专家系统包括健康知识问答、产品定位、特殊疾病相关问题等。我们使用问答的方法来呈现这些功能,通过相似度计算获得最高的相似度分数,然后搜索知识库中的答案并将结果传回给用户。另一部分是多媒体反馈功能,系统中有很多与药房相关的功能。通过这些反馈,您可以了解药房当前的经营状况或相关活动。
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