A SNS User Interest Model Based on Data Mining

doi:10.3969/j.issn.1006-2475.2014.02.006

Abstract

Abstract: This paper mainly introduces the modeling process and the key technologies of SNS user interest model, including the vector space model, cluster analysis and so on. Besides, it creates a system to support the model, focusing on how to make a program to calculate the user’s interest. This model is easy to update and extract, so it can be developed into software embedded into social networking sites in order to know users’ interest.

Key words: data mining, user interest degree, vector space model, text clustering

CLC Number:

TP391

XIE Zi-qi, XIE Ying-hua. A SNS User Interest Model Based on Data Mining[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2014.02.006.

References 14

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