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Biologically inspired design of network-aware smart product

机译:网络知识智能产品的生物学启发设计

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Designing a product service system begins with understanding customer voices. Compared to the traditional methods such as survey, interview, customer review represents a particular kind of big data that contain rich information that is useful for the design of product service system. This paper presents a new framework that integrates a variety of artificial intelligence and machine learning techniques. All proposed operations of the framework can be realized based on the Google Cloud Platform. A case study is conducted to showcase the practical applicability of some key operations such as opinion mining. More than 40,000 customer reviews about the product Kindle White E-reader were analyzed.
机译:设计产品服务系统始于了解客户声音。与传统方法如调查,面试,客户审查相比,客户审查代表了一种包含丰富信息的特定类型,可用于产品服务系统的设计。本文介绍了一个新的框架,整合了各种人工智能和机器学习技术。可以根据Google云平台实现框架的所有建议操作。进行案例研究以展示某些关键行动的实际适用性,如意见采矿。分析了关于产品Kindle White电子阅读器的40多万客户评论。

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