摘要
面临海量的电子元器件产品信息,用户如何精准找到合适元器件,快速完成产品的元器件选型,成为急需解决的问题。随着信息技术日益发展,可以借助推荐系统技术实现元器件智慧选型。通过对推荐系统的算法和应用场景分析,将推荐系统应用于元器件选型场景中,实现元器件产品智能推送和选用。
Faced with a large amount of electronic component product information,how to quickly and accurately find the appropriate components and quickly complete the component selection of the product has become an urgent problem.With the growing development of information technology,recommendation system technology can be used to realize intelligent component selection.Through the analysis of the algorithm and application scenario of the recommendation system,the recommendation system is applied to the component selection scenario to achieve the intelligent push and selection of component products.
作者
丁春光
张驰
黄志华
梁安健
刘馨阳
李颖
DING Chunguang;ZHANG Chi;HUANG Zhihua;LIANG Anjian;LIU Xinyang;LI Ying(CEPREI,Guangzhou 511370,China;Key Laboratory of Industrial Equipment Quality Big Data,MIIT,Guangzhou 511370,China)
出处
《电子产品可靠性与环境试验》
2023年第5期98-101,共4页
Electronic Product Reliability and Environmental Testing
关键词
推荐系统
元器件
选型
人工智能
recommendation system
electronic components
model selection
artificial intelligence