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本文运用情报检索语言的基本原理和基本方法,在网上数据调查和检索测试实验的基础上,分析目前网络搜索引擎的性能现状和存在的问题,并从情报检索语言理论和新技术的引入和应用等方面探讨改进网络搜索引擎性能的发展对策。 首先,分析搜索引擎研究的现状,并从搜索引擎性能研究的角度出发,界定搜索引擎概念的范畴和类型划分,将搜索引擎分为分类目录式搜索引擎、机器人式搜索引擎和元搜索引擎3种类型。在此基础上,从结构层面、技术层面、检索层面3个角度出发,详细阐述了搜索引擎的工作原理。 其次,在借鉴传统情报检索系统的评价标准和分析搜索引擎性能因素的基础上,从数据库规模和特点、信息资源组织特点、检索功能、检索效果和用户服务特点这5个方面出发,建立了一个搜索引擎评估指标体系;并以此评估体系为评价标准,选
This paper uses the basic principles and basic methods of information retrieval language to analyze the performance status quo and existing problems of network search engine on the basis of online data survey and retrieval test experiment. And from the introduction and application of information retrieval language theory and new technology And other aspects of improving the performance of web search engine development strategy. First of all, the status quo of search engine research is analyzed. From the perspective of search engine performance research, the definition of search engine concepts is divided into categories and types. The search engine is divided into three categories: catalog search engine, robotic search engine and meta search engine Types of. On this basis, the working principle of search engine is elaborated in detail from three aspects: structural level, technical level and retrieval level. Secondly, on the basis of referring to the evaluation criteria of traditional information retrieval system and analyzing the performance factors of search engine, this paper sets up five aspects of database size and characteristics, organizational characteristics of information resources, retrieval function, retrieval effect and user service characteristics Search engine evaluation index system; and use this evaluation system as the evaluation criteria, selected