南京航空航天大学k8凯发集团主页平台管理系统 皮德常-k8凯发集团

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所属单位：计算机科学与技术学院/人工智能学院/软件学院
发表刊物：ieee access
关键字：deeper membership deeper friendship social recommendation matrix factorization
摘要：the existing social recommendation models mostly utilize various explicit user-generated information. although there exist a few studies adopting the implicit relationship between users for social recommendation, however, these studies do not consider the deeper social relationship, nor simultaneously take into account two or more deeper relationships between users from different angles. to this end, we propose a new deeper membership and friendship awareness for social recommendation. specifically, we first calculate the deeper membership similarity between users utilizing the improved jaccard similarity coefficient and the deeper friendship similarity between users using the proposed two-hop random walk algorithm. second, the deeper membership similarity and the deeper friendship similarity are combined in a unified way to form a comprehensive deeper social relation similarity. third, we adopt the matrix factorization method incorporating the deeper membership and the deeper friendship between users as a regularization term for social recommendation, and the corresponding comprehensive deeper social relationship similarity is regarded as the regularization parameter. experiments on two real-world datasets demonstrate the superiority of the proposed recommendation model.
issn号：2169-3536
是否译文：否
发表时间：2017-01-01
合写作者：崔琳,张静
通讯作者：皮德常