基于流行度制衡的微博用户相似度计算方法

Similarity Computing Method Based on the Micro-Blog User's Popularity Depression

以微博用户推荐算法中相似度计算为研究对象,根据微博用户关注信息的特点,分析了关注用户的流行度的不同程度,以及这种程度差异对相似度计算产生的影响,在此基础之上提出了一种加入流行度制衡因子的相似度计算方法.可通过流行度制衡因子,在计算用户相似度时,适度减少(增加)流行度偏高(偏低)的用户对计算结果的影响.实验结果表明:加入流行度制衡因子的用户相似度计算具有更好的推荐效果.

This paper aims to improve the performance of micro-blog users′recommendation algorithm whose key issue is user similarity calculation .This paper firstly introduces current several user similarity calculation methods and their shortcomings.And then, based on the characteristics of micro-blog users, we discuss their concerning users′popularity of different level , which aims to explore their effects on the user similarity calculation .And on this basis , an improved similarity calculating method of considering depression factor is proposed .In the user similarity calculation , popularity balance factor can reduce/increase the impact of calculation results caused by the user high/low popularity . The experimental results indicate that the proposed user similarity calculation method has better recommendation results .