电子学报2016，Vol.44Issue(9)：2262-2275,14.DOI:10.3969/j.issn.0372-2112.2016.09.035
语义推荐算法研究综述
Survey of Semantics-Based Recommendation Algorithms
摘要
Abstract
Semantics-based recommendation technology has recently received a lot of attention in information services community.Compared with traditional recommendation algorithms,semantics-based recommendation algorithms have the marked advantages in the aspects of real-timing,robustness and recommendation quality.From the status and progress of do-mestic and foreign research,we summarize the following four aspects:semantics-based content recommendation algorithms, semantics-based collaborative filtering recommendation algorithms,semantics-based hybrid recommendation algorithms,and semantics-based social recommendation algorithms.And this paper is expected to provide a worthwhile reference for relevant researchers by detailedly analyzing semantics-based recommendation algorithms.Finally,we show readers the challenges and future research directions in this field.关键词
语义/推荐算法/内容推荐/协同过滤推荐/混合推荐/社会化推荐Key words
semantics/recommendation algorithm/content recommendation/collaborative filtering recommenda-tion/hybrid recommendation/social recommendation分类
信息技术与安全科学引用本文复制引用
黄震华,张佳雯,张波,喻剑,向阳,黄德双..语义推荐算法研究综述[J].电子学报,2016,44(9):2262-2275,14.基金项目
国家自然科学基金（No．61272268）；上海市青年科技启明星计划（No．15QA1403900）；教育部新世纪优秀人才支持计划（No．NCET-12-0413）；国家973课题（No．2014CB340404）；霍英东基金应用类课题（No．142002）；同济大学中央高校基本科研业务费专项资金 （）
