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人工智能赋能的设计评价方法研究与应用 被引量:6

Research and Application of Artificial Intelligent Empowered Design Evaluation Method
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摘要 目的人工智能赋能的设计评价方法正成为智能设计领域的新关注点,也带来了全新的挑战。分析智能设计评价方法的发展趋势,总结评价方法及其模型构建过程中的关键问题,能为设计评价研究和应用提供参考,也对智能设计的发展提供支持。方法以人工智能赋能的设计评价方法在阿里巴巴的应用实践为例,重点描述面向电商场景的短视频智能评价方法的构建,深入分析短视频设计特征对业务效果的影响,探讨智能评价方法在短视频智能设计中的实际应用。结果短视频智能评价方法可以通过预测短视频广告效果,形成数据驱动的设计优化链路,为阿里巴巴的短视频智能设计提供支持。结论人工智能赋能的设计评价方法是基于大数据分析和挖掘设计对象与特征之间的影响关系,可以有效地支持设计过程及结果的优化。智能评价方法是智能设计体系的延伸,对智能设计的进一步发展有着巨大的价值。 The design evaluation method enabled by artificial intelligence is becoming a new focus in the field of intelligent design,and it also brings new challenges.The work aims to analyze the development of intelligent design evaluation methods,summarize the key issues in the evaluation method and its model construction process,which can provide references for design evaluation research and application,and also provide support for the development of intelligent design.Taking the application of artificial intelligence empowered design evaluation methods in Alibaba as example,this work focuses on describing the construction of intelligent evaluation methods for e-commerce business scenarios,deeply analyzing the impact of video design features on advertising effects,and exploring the practical application of intelligent evaluation methods in video intelligent design.The video intelligent evaluation method can form a data-driven design optimization link by predicting the advertising effect of video,and provide support for the video intelligent design in Alibaba.The design evaluation method enabled by artificial intelligence is based on big data analysis and mining the impact relationship between design objects and features based on big data,which can effectively support the optimization of the design process and results.The intelligent evaluation method is an extension of the intelligent design,and has great value to the further development of intelligent design.
作者 杨智渊 杨文波 杨光 杨昌源 YANG Zhi-yuan;YANG Wen-bo;YANG Guang;YANG Chang-yuan(Alibaba Group,Hangzhou 311121,China;Alibaba-Zhejiang University Joint Institute of Frontier Technologies,Hangzhou 310027,China)
出处 《包装工程》 CAS 北大核心 2021年第18期24-34,62,共12页 Packaging Engineering
关键词 设计评价 人工智能 计算机辅助设计 智能设计 design evaluation artificial intelligence computer aided design intelligent design
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