计算机科学 ›› 2012, Vol. 39 ›› Issue (1): 264-267.

• 人工智能 • 上一篇    下一篇

基于用户查询意图识别的Web搜索优化模型

杨艺,周元   

  1. (重庆工商大学计算机科学与信息工程学院重庆400067)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Web Retrieval Optimization Model Based on User's Query Intention Identification

  • Online:2018-11-16 Published:2018-11-16

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。

关键词: 信息查询,意图识别,查询行为,优化模型

Abstract: A Web retrieval optimization model was proposed based on the analysis and classification of user's query intendon. 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 keyword and user's ctuery 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

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