南京大学学报(自然科学版) ›› 2015, Vol. 51 ›› Issue (2): 290296.
施静静,张鹏,阮雅端,陈启美*
Shi Jingjing, Zhang Peng, RuanYaduan, Chen Qimei*
摘要: 在种类丰富、数据庞大的多媒体信息网络中,为兴趣相投的用户推荐相似视、音频文件已成为网络多媒体发展的亮点。为此,文中分析了结点相似度计算的成对随机游走传统模型,进而提出了一种相似度的新型计算方法ObjectSim。该算法结合结点属性信息和结点间基本关联信息,利用关联类型的加权原则,有效地提高了相似度计算的准确性。经规模数据集DBLP的实验表明,ObjectSim相似度计算准确性较传统图结构SimRank[1]算法有了显著提高。
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