ID	原文	译文
56758	通过在3个真实数据集上与已有方法进行实验对比,本文的方法能够获得更好的分类公平性和准确性,并且不局限于特定的公平性判定准则和分类器.	The experimental results on three real data sets demonstrate thatthe proposed method can obtain better classification fairness and accuracy than existing methods; the conclusionis not limited to specific fairness criteria or classifiers.
56759	人工智能技术蓬勃发展,理论与技术上都有显著突破,在诸多领域得到了广泛应用;	With the rapid development of the artificial intelligence technology, significant breakthroughs in itstheory and applications have been widely used in many fields.
56760	人工智能的相关理论与技术成果有可能在控制领域得到最大的集成,即智能控制将是人工智能及相关前沿技术的综合体现.	The related theories and technical achievements ofartificial intelligence are likely to be integrated to the maximum extent in the field of control; that is, intelligentcontrol will become the comprehensive embodiment of the artificial technology.
56761	本文从控制科学与技术的发展历程切入,分析得出智能控制将是人工智能与工业界融合发展的抓手,进而对智能控制的发展需求、控制技术的智能化途径和智能控制的发展阶段以及各阶段性特征展开讨论,最后阐述了推动智能控制技术发展的重点方向.	This study starts with an overviewof the development of the control science and technology, and concludes that intelligent control will become astarting point for the integration of artificial intelligence and industry. Then, the study discusses the developmentrequirements of intelligent control, ways of control technology intellectualization, development stages of intelligentcontrol, and characteristics of each stage. Finally, the key direction of promoting the development of the intelligentcontrol technology is described.
56762	推荐系统旨在为用户推荐个性化的在线商品或信息,其广泛应用于众多Web场景之中,来处理海量信息数据所导致的信息过载问题,以此提升用户体验.	Recommender system (RS) targets at providing accurate item recommendations to users with respectto their preferences; it has been widely employed in various online applications for addressing the problem ofinformation explosion and improving user experience.
56763	鉴于推荐系统强大的实用性,自20世纪90年代中期以来,研究者针对其方法与应用两方面,进行了大量广泛的研究.	In the past decades, while tremendous efforts have beenmade in enhancing the performance of RSs, some long-standing challenges, such as data sparsity, cold start, andresult diversity, are unaddressed.
56764	近年来,很多工作发现知识图谱中所蕴含的丰富信息可以有效地解决推荐系统中存在的一系列关键问题,例如数据稀疏、冷启动、推荐多样性等.	Along this line, an emerging research trend is to exploit the rich semanticinformation contained in the knowledge graph (KG); it has been proven to be an effective way to enhance thecapability of RSs.
56765	因此,本文针对基于知识图谱的推荐系统这一领域进行了全面的综述.	To this end, we provide a focused survey on KG-based RS via a holistic perspective of bothtechnologies and applications.
56766	具体地,首先简单介绍推荐系统与知识图谱中的一些基本概念.	Specifically, firstly, we briefly review the core concepts and classical algorithmsof the RSs and KGs. Secondly, we comprehensively introduce the representative and state-of-the-art works inthis field based on different strategies of exploiting KGs for RSs.
56767	随后,详细介绍现有方法如何挖掘知识图谱不同种类的信息并应用于推荐系统.	Meanwhile, we also summarize some typicalapplication scenarios of KG-based RSs, for facilitating the hands-on practices of corresponding algorithms.