基于PLSA模型的用户兴趣聚类算法研究

Research of User Interests Clustering Algorithm Based on PLSA Model

对用户访问日志数据进行分析,构造会话-类型矩阵,利用概率潜在语义分析模型建立合适的用户兴趣聚类分析算法,提高用户兴趣聚类精度。实验结果验证了该算法的有效性。

Construction session-type matrix by performing a clustering analysis of the web log is analysed,and building appropriate algorithm of user interests clustering,and then improving the accuracy of user interests clustering. Experimental result verifies the validity of this algorithm.