东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2015, Vol. 36 ›› Issue (7): 933-936.DOI: 10.12068/j.issn.1005-3026.2015.07.005

• 信息与控制 • 上一篇    下一篇

基于搜索日志与局部上下文的查询扩展方法

张书波， 马安香， 张斌， 孙达明   

  1. (东北大学 信息科学与工程学院， 辽宁 沈阳110819)
  • 收稿日期:2014-05-22 修回日期:2014-05-22 出版日期:2015-07-15 发布日期:2015-07-15
  • 通讯作者: 张书波
  • 作者简介:张书波(1973-)，男，山东烟台人，东北大学博士研究生; 张斌(1964-)，男，辽宁本溪人，东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目 (61100090)； 中央高校基本科研业务费专项资金资助项目(N110204006，N120804001，N110604002， N120604003) .

A Query Expansion Method Based on Search Log and Local Context

ZHANG Shu-bo， MA An-xiang， ZHANG Bin， SUN Da-ming   

  1. School of Information Science & Engineering， Northeastern University， Shenyang 110819， China.
  • Received:2014-05-22 Revised:2014-05-22 Online:2015-07-15 Published:2015-07-15
  • Contact: ZHANG Bin
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

766

摘要： 当搜索日志存在查询词稀疏性和时效性问题时，基于搜索日志的查询扩展方法无法保证查询扩展的质量，无法满足具有时效性查询请求的需求.提出了基于搜索日志与局部上下文的查询扩展方法，通过发掘搜索日志中用户查询词和相关文档的关联关系，抽取查询扩展词，并用局部上下文从相关文档集中提取出频率较大，同时具有时效性的查询扩展词.通过对查询扩展词的查询性能和时效性的计算，该方法为原始查询补充更高质量的查询扩展词.实验结果表明，该方法能够有效地提升准确率和召回率，使原始查询获得更好的查询性能.

关键词: 信息检索, 查询扩展, 搜索日志, 局部上下文, 查询性能

Abstract: When search logs encounter over sparse and timeliness problems，the quality of extensions cannot be guaranteed by the query expansion methods based on the search log， resulting in the impossibility to meet the needs of timeliness information. A query expansion method based on the search log and local context was introduced. By exploring relationships between user queries and relevant documents in search logs， candidate expansion terms were extracted， and local contexts from related documents were concentrated to extract words with higher frequencies and timeliness. By considering query performances and timeliness of expansions， expansions with higher qualities were provided with this method. Experimental results showed that precisions and recalls could be effectively improved， and better query performance to original queries could be obtained.

Key words: information retrieval, query expansion, search log, local context, query performance

中图分类号: