计算机科学 ›› 2015, Vol. 42 ›› Issue (9): 191-194.doi: 10.11896/j.issn.1002-137X.2015.09.036
杨阿祧,汤 庸,王江斌,李建国
YANG A-tiao, TANG Yong, WANG Jiang-bin and LI Jian-guo
摘要： 随着在线社会网络规模的不断扩大,在线社会网络中的用户信息过载问题成为业界关注的焦点。社会网络中实体的复杂性和社交网络结构的复杂性给社交网站中的个性化推荐带来新的研究问题和挑战。提出一种基于博弈的预测模型,利用非合作博弈进行链接预测,设计了一个通过链接预测来实现个性化推荐的算法。最后,在来自学者网SCHOLAT的真实数据集上进行了实验,结果证明该方法能够有效地提高推荐的准确性。
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