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基于用户行为的长查询用户满意度分析

, PP. 469-474

Keywords: 用户行为分析,用户满意度,长查询,学习算法

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Abstract:

搜索引擎性能评估是信息检索界一个重要课题。长查询具有较为丰富的信息内容,能更加准确地描述用户的信息需求。在此基础上文中提出长查询用户满意度分析的整体框架,定义用户满意度的概念,并在用户日志中提取相关用户行为特征,应用决策树和SVM两种分类算法评测用户满意度。在大规模商业搜索引擎日志上完成的实验结果证明了这套评价体系的有效性。结果表明,用户对于查询满意和不满意的分类准确率分别达到86%和70%。

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