计算机工程 ›› 2008, Vol. 34 ›› Issue (4): 181-183.doi: 10.3969/j.issn.1000-3428.2008.04.064

• 人工智能及识别技术 • 上一篇    下一篇

基于用户行为模型的搜索引擎

王 川1,王大玲1,于 戈1,马海涛2,刘鑫钢2   

  1. (1. 东北大学信息科学与工程学院,沈阳 110004;2. 东北大学软件学院,沈阳 110004)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-02-20 发布日期:2008-02-20

Search Engine Based on Users Behavior Model

WANG Chuan1, WANG Da-ling1, YU Ge1, MA Hai-tao2, LIU Xin-gang2

  

  1. (1. School of Information Science and Engineering, Northeastern University, Shenyang 110004;2. Software School, Northeastern University, Shenyang 110004)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-02-20 Published:2008-02-20

摘要: 针对目前大部分搜索引擎不能精确识别使用不同查询词而期望获得不同查询结果的情况,该文提出一种基于用户行为模型的搜索引擎的思想,论述其原型系统SEB实现过程和关键技术,其中的行为模型结合人类行为学相关理论对用户访问行为进行分类和表示,对搜索结果进行了处理,实现了个性化搜索。实验表明,经SEB原型系统处理的搜索结果更加符合用户需求。

关键词: 搜索引擎, 行为模型, 原型系统

Abstract: When searching, different users may have different search purposes even if they use the same keywords. However, currently most search engines can not solve this problem. In this paper, the idea of creating search engine based on users’ behavior model is proposed, and the implementing process and key techniques of the prototype SEB(Search Engine on Behavior) based on the idea are expatiated. The behavior model imports the theory of behavior science for classifying and expressing the users’ accessing behaviors, and presses the returned results according to the classification and expression, and achieves the purpose of personalization. The experiments show that returned results processed by SEB can meet the uses’ requirements better.

Key words: search engine, behavior model, prototype

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