CCF-B类 | 大数据 | SCI期刊专刊截稿信息3条

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数据库管理与信息检索 Information Sciences Explainable Artificial Intelligence for Security and Privacy in Recommender Systems 全文截稿: 2024-07-31 影响因子: 5.91 CCF分类: B类 中科院JCR分区:   • 大类 : 计算机科学 - 1区   • 大类 : 计算机：信息系统 - 1区 网址： http://www.journals.elsevier.com/information-sciences// Recommender Systems (RS) have become one of the most effective approaches to quickly extract insightful information from big data and are not widely applied to various fields such as Smart Healthcare, E-commerce, Intelligent Tourism, Smart Transportation, etc. The characteristics of big data, such as multi-source property and data diversity, require that a recommender system can quickly integrate the data distributed across multiple parties so as to make comprehensive and accurate recommendation decisions. In particular, to protect business secrets and obey laws, securing user data and preserving user privacy during the ………………………………