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首页> 外文会议>Wuhan international conference on E-business >Research on the Method of Friends Recommendation in Mobile Social Network Based on Multidimensional Similarity
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Research on the Method of Friends Recommendation in Mobile Social Network Based on Multidimensional Similarity

机译：基于多维相似度的移动社交网络好友推荐方法研究

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摘要

Aiming at the issue of friend recommendation in social network, a friend recommendation method based on multi dimensional similarity is proposed.Compared with the existing methods, it is no longer limited to a single dimension of matching information, but from three dimensions of interest, time, and space to judge the similarity of users in different dimensionality, then it uses the similarity to do comprehensive evaluation to recommend friends to the target users.Experimental studies have shown that the precision rate of recommended results is close to 70 percent, and the checking efficiency rate is close to 60 percent when the method is applied to the recommendation service of mobile social network.The performance of this method is much higher than the friend recommended method based on single dimension and can be applied to a variety of characteristics of the mobile social network.
机译：针对社交网络中的好友推荐问题，提出了一种基于多维相似度的好友推荐方法，与现有的方法相比，不再局限于信息匹配的单一维度，而是从兴趣，时间三个维度入手。 ，空间来判断不同维度的用户相似度，然后利用相似度进行综合评价，向目标用户推荐好友。实验研究表明，推荐结果的准确率接近70％，当该方法应用于移动社交网络推荐服务时，效率接近60％。该方法的性能远远高于基于单一维度的朋友推荐方法，可应用于多种移动特性。社交网络。

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