Mining User Interests and Change Patterns in Microblog

Dong Liu; Quan Yuan  Wu

doi:10.4028/www.scientific.net/AMM.380-384.1959

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Mining User Interests and Change Patterns in...

Mining User Interests and Change Patterns in Microblog

Abstract:

Nowadays, more and more people use microblogs to share information. Consequently, mining microblog users behavior features is very valuable. In the paper, we propose a user interest mining framework. After data pre-processing, VSM is used to generate the feature vector of the tweet sets. Furthermore, k-bit binaries called interest hash-value and continuous interest hash-value are generated by use of Simhash algorithm. The user interests and change patterns could be mined by analyzing the hamming distance sequences between adjacent two hash-values. Taking Sina microblog as background, a series of experiments are done to prove the effectiveness of the algorithms.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

1959-1962

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.1959

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Online since:

August 2013

Authors:

Dong Liu, Quan Yuan Wu

Keywords:

Change Pattern, Microblog, Tweet, User Interests Mining

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