Computer Science ›› 2017, Vol. 44 ›› Issue (2): 235-238, 249.doi: 10.11896/j.issn.1002-137X.2017.02.038

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Dynamic Analysis Method of Mobile User Preference Context Based on Multi-dimensional

LUO Xiao-dong   

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

Abstract: Because contextual data ins introduced into dynamic analysis of mobile Users preference,the original user-project two-dimensional matrix will be extended to users-Projects-Context three dimensional matrix decomposition theory based on multi-dimensional matrix of low rank,which can simplify the analysis of the data,but the low rank decomposition properties of self-learning method for a mobile user preferences dynamic analysis do not take full advantage of multi-dimensional matrix.To solve this problem,this paper presented a self-learning method which uses multi-dimensional matrix of low rank decomposition,promoting the convergence rate,reducing the data analysis complexity.The simulation results show the effectiveness of the proposed algorithm.

Key words: Mobile internet,Multi-dimensional matrix,User preference,Self-learning method

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