计算机科学 ›› 2022, Vol. 49 ›› Issue (8): 78-85.doi: 10.11896/jsjkx.210700121
陈泳全, 姜瑛
CHEN Yong-quan, JIANG Ying
摘要： 随着移动互联网的快速发展,智能终端已经成为人们日常生活和工作中不可或缺的一部分。在使用智能终端的过程中,会产生大量的APP操作过程记录,对用户APP操作过程记录进行分析,可以获取到操作过程记录中用户的行为,从而获得用户的行为模式,以帮助开发人员有针对性地维护和改进APP软件。现有的用户行为分析偏向操作分析,缺少对用户操作的行为提取,因此提出了一种基于卷积神经网络的APP用户行为分析方法。该方法首先进行APP操作分析,提取出原始APP操作记录信息中的用户操作;然后挖掘APP操作与APP用户行为之间的关联性,构建APP操作与APP用户行为之间的相似度矩阵;最后提取APP用户行为。实验结果表明,该方法能够有效地提取和识别APP操作过程记录中用户的行为,有助于深层次地挖掘APP用户行为的含义。
中图分类号:
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