Computer Science ›› 2017, Vol. 44 ›› Issue (2): 262-266.doi: 10.11896/j.issn.1002-137X.2017.02.043

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Computing Research of User Similarity Based on Micro-blog

ZHENG Zhi-yun, JIA Chun-yuan, WANG Zhen-fei and LI Dun   

  • Online:2018-11-13 Published:2018-11-13

Abstract: For traditional similarity calculation methods and evaluation criteria have defects that accurately and efficientlymeasuring micro-blog users similar relationship is undesirable,a new method to calculate micro-blog user similarity was proposed. For different attribute data structure,different calculation methods are used,and based on the assignment of property statistics for each property,the method uses AHP to determine the weight of each attribute,finally building an integrated similarity calculation model.Experimental results show that the improved method of calculation to measure user similarity precision increases by 22.6%,recall rate increases by 12.7%,and F1 metric improves 29.5%.

Key words: Micro-blog,User similarity,Attribute weight,Analytic hierarchy process

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