专业搜索引擎搜索策略综述

被引:35
作者
欧阳柳波
李学勇
李国徽
王鑫
机构
[1] 湖南大学软件学院
[2] 长沙大学数学与信息科学系
[3] 华中科技大学计算机科学与技术学院
[4] 长沙大学数学与信息科学系 长沙
[5] 长沙
[6] 武汉
关键词
专业搜索引擎; 网络蜘蛛; 搜索策略;
D O I
暂无
中图分类号
TP393.09 [];
学科分类号
080402 ;
摘要
按照评价链接价值所采用方法的不同,对专业搜索引擎的搜索策略进行了分类,分析了各类搜索策略的特点,比较了它们的优缺点。对未来的研究方向进行了展望,给出了若干值得研究的问题。
引用
收藏
页码:32 / 33+46 +46
页数:3
相关论文
共 9 条
[1]  
TheShark-searchAlgorithm—AnApplication:TailoredWebSiteMapping. HersoviciM,HeydonA,MitzenmacherM, et al. Proc.of theWorld-WideWebConference . 1998
[2]  
Accelerated focus-ed crawling through online relevance feedback. Chakrabarti S,Punera K,Subramanyam M. In: Proc of the 11th International World Wide Web Conference . 2001
[3]  
Intelligent crawling on the World Wide Web with arbitrary Predicates. Aggarwal C,AI-Garawi F,Yu S P. In: Proc of the 10th International World Wide Web Conference . 2001
[4]  
Efficient crawling through URL ordering. Cho J,Garcia- Molina H,Page L. Computer Networks . 1998
[5]  
Using reinforcement learning to spider the Web efficiently. Rennie J,McCallum A. In: Proc of the International Conference on Machine Learning(ICML 99) . 1999
[6]  
Focused Crawling Using Context graphs. Diligenti M,Coetzee F M,Lawrence S,et al. In: Proc. of the International Conference on Very Large Database(VLDB00) . 2000
[7]  
Information Retrieval in Distributed Hypertexts. Bra D P,Houben G,Kornatzky et al. In:Proc.ofthe 4th RIAO Conference . 1994
[8]  
Complementing search engines with online Web mining agents. Menczer F. Decision Support . 2003
[9]  
FocusedWebCrawling:A GenericFramwork forSpecifying theUserInterest and forAdaptiveCrawlingStratrgies. EsterM,GrobM,KriegelH. Proc. of theInternationalConference onVeryLargeDatabase (VLDB01) . 2001