摘要
在对用户查询意图进行分析分类的基础上,提出了一种Web搜索优化模型。该模型通过识别用户查询意图来查询意图特征词和内容主题词的双重约束,再结合用户查询行为获得查询目标,既保证了用户查询意图的准确匹配,又自动过滤和屏蔽了不相关信息。与相关工作对比,其重点在于准确获取用户查询意图,提高用户满意度。实验结果表明,该模型在实现信息搜索准确性和用户对查询结果满意度方面比传统搜索方法有明显改善。
A Web retrieval optimization model was proposed based on the analysis and classification of user＇s query intention.It focuses on user＇s query intention identification,and can both ensure match user＇s query intention accurately and filter useless information automatically by means of characteristic word of query intention,content
出处
《计算机科学》
CSCD
北大核心
2012年第1期264-267,共4页
Computer Science
基金
重庆市教育委员会科学技术研究项目(KJ090728)
重庆市科学技术委员会自然科学基金计划项目(cstc2011jjA90008)资助
关键词
信息查询
意图识别
查询行为
优化模型
and user＇s query behavior.Comparing with related work.This paper focused on user＇s query intention and user＇s satisfaction.Experimental results show that the model can improve significantly the accuracy in information retrieve and users＇ satisfaction compared with traditional methods. Key words：Information retrieval
Intention identification
Query behaviors
Optimization model
