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网页特征获取方法及其在网页搜索中的应用
引用本文:薛晔伟,沈钧毅,张云,鲍军鹏.网页特征获取方法及其在网页搜索中的应用[J].东南大学学报,2008,24(3).
作者姓名:薛晔伟  沈钧毅  张云  鲍军鹏
作者单位:西安交通大学计算机科学与技术系,西安710049
摘    要:针对大规模网页相关性排序工作中使用的多来源网页信息形式多样、利用困难的问题,提出了一种新的自动网页特征获取方法.该方法利用一组事先定义好的规则自动地从网页中获取相关性特征,这些特征可以有效地表达网页的实际内容并改善搜索引擎的排序性能.该方法所获取的网页相关性特征具有格式统一、噪声数据少的特点,能够非常方便地应用于网页的相关性排序.为了评价网页特征和用户查询之间的相关性,还提出了一个特征级别的相关性判定标准.最后,实验结果证明了所提出的特征获取方法和特征相关性等级判定标准对于提升搜索引擎的排序性能具有显著的作用.

关 键 词:网页搜索  相关性排序  检索效率

Method of acquiring web features and its application in web search
Xue Yewei,Shen Junyi,Zhang Yun,Bao Junpeng.Method of acquiring web features and its application in web search[J].Journal of Southeast University(English Edition),2008,24(3).
Authors:Xue Yewei  Shen Junyi  Zhang Yun  Bao Junpeng
Abstract:Focusing on the problem that it is hard to utilize the web multi-fields information with various forms in large scale web search,a novel approach,which can automatically acquire features from web pages based on a set of well defined rules,is proposed.The features describe the contents of web pages from different aspects and they can be used to improve the ranking performance for web search.The acquired feature has the advantages of unified form and less noise,and can easily be used in web page relevance ranking.A special specs for judging the relevance between user queries and acquired features is also proposed.Experimental results show that the features acquired by the proposed approach and the feature relevance specs can significantly improve the relevance ranking performance for web search.
Keywords:web search  relevance ranking  retrieval effectiveness
本文献已被 CNKI 维普 万方数据 等数据库收录!
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