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中文搜索引擎事务类检索的有效转换是在网络检索分类的基础上,以用户事务类检索提问为研究对象,对其形式特点、需求类型、表达方式和组成要素等进行多维度的分析。提出利用词汇控制等手段,通过编制要素词表、提问要素加权的方式来实现检索转换,将检索需求表达不确切或不适合现有搜索引擎检索匹配策略的检索提问转换成更有效的检索提问。 相似文献
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中文搜索引擎检索语言研究 总被引：1，自引：0，他引：1
中文搜索引擎在很大程度上满了用户检索中文网络信息资源的要求，但也存在检索效果不够理想等问题，本文人检索语言的角度对现有中文搜索引擎进行分析，指出将检索语言的原理与方法应用于中文搜索引擎，必然极大地提高搜索引擎的检索效率。 相似文献
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搜索引擎个性化检索研究综述 总被引：3，自引：0，他引：3
搜索引擎个性化检索是搜索引擎主动或被动地搜集用户的偏好、兴趣等信息需求特征,建立用户模型,检索并反馈与用户特定需求密切相关结果的过程。论述了搜索引擎个性化检索中的用户模型和网页排名技术的研究。在分析大量研究成果基础上,总结了存在的不足并对未来的研究趋势进行探讨。 相似文献
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互联网上的数据是庞大的、无序的。要想真正利用好网上信息,就必须利用好信息的检索工具——搜索引擎。而搜索引擎经过几代的发展,现阶段已经能使用智能代理技术跟踪用户检索行为,分析用户模型,并能建立基于智能代理的信息过滤和个性化服务技术。国内丽大搜索引擎百度与谷歌中文,从综合实力来看,可说是各有千秋,旗鼓相当。 相似文献
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国内中文搜索引擎现状及检索技巧 总被引：5，自引：0，他引：5
作为Ｉｎｔｅｒｎｅｔ网上重要检索工具－－搜索引擎,已日益引起网上用户的关注,本文对近年国内迅速发展的几种中文搜索引擎作一阐释比较。 相似文献
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随着网络资源的不断增加,用户对网络搜索引擎的要求越来越高。为了满足用户客观、准确、及时、深入的个性化信息检索的需求,必须改进现有搜索引擎,以便用户能更多地参与搜索流程。提出了在搜索引擎检索过程中融入用户的情境信息,即建立一个用户情境模型结构,并将其与搜索引擎集成在一起,在所集成的结构中应用语义网技术,增加搜索引擎对所检索信息的语义理解,从而实现个性化的信息检索。 相似文献
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检索结果是评价搜索引擎的最直观指标.从便于用户利用的角度探讨了搜索引擎检索结果的评价指标,包括用户满意度、显示内容、显示数量、相关性排序、新颖率等,并提出改善搜索引擎检索结果、提高用户满意度的若干建议. 相似文献
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国外少儿搜索引擎比较研究 总被引：2，自引：0，他引：2
本文对国外著名的3种少儿搜索引擎Ask Jeeves for Kids、Yahooligans和Kidsclick的界面设计、检索功能、检索结果、检索效果等方面进行比较分析，并在此基础上对发展中文少儿搜索引擎提出几点建议。 相似文献
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对中外两种老年搜索引擎的界面设计、检索功能、检索结果、检索效果等方面进行比较分析,并在此基础上对发展中文老年搜索引擎提出几点建议。 相似文献
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网络搜索引擎分类目录检索功能研究 总被引：7，自引：0，他引：7
搜索引擎是检索网上信息的工具。本文以重要的中文搜索引擎为例，分析了搜索引擎分类目录的特点，指出其检索功能的优缺点，提出提高搜索引擎分类目录检索效率的措施。 相似文献
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[目的/意义] 针对当前我国网络用户的健康信息检索行为, 探索利用中文搜索引擎的健康信息检索规律, 为完善健康搜索引擎和网站建设提供参考。[方法/过程] 基于搜狗搜索引擎的大规模查询日志, 采用日志挖掘的方法, 从查询行为和点击行为两个角度对网络用户的健康信息检索行为进行研究。查询行为的研究指标包括会话层(会话长度、用户重复查询), 查询串层(查询串长度、重复查询)和词项层(高频词汇, 主题分类);点击行为的研究指标为点击位置和点击内容。[结果/结论] 健康相关查询的重复率较高, 提示相关网站可缓存高重复率查询串的返回结果;大众关注的热点领域为疾病、保健、母婴、医疗机构与美容整形, 提示网站的导航设计注意导航方向;用户更偏爱使用问答型平台, 提示网站设计者应更加关注与用户间问答型的互动模式。 相似文献
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中文搜索引擎的搜索结果重合率研究 总被引：1，自引：0，他引：1
本文的研究目的是测试主流中文搜索引擎搜索结果之间的重合程度和差异程度.利用一个具有11 171条来自真实用户的提问样本集对百度、谷歌和中国雅虎进行实际测试,发现中文搜索引擎搜索结果之间的差异很大,重合率很低.在全部的第一页搜索结果中,三个引擎中任何一个引擎独有的搜索结果总数占89.34%,任何两个引擎之间重合的搜索结果总数占8.11%,三个引擎重合的搜索结果数量占2.54%.三个引擎前两页搜索结果的重合比例更低.通过和已有的英文搜索引擎重合率测试数据相比较,发现中英文搜索引擎的搜索结果重合率都很低,且很相近. 相似文献
14.
Spink A Yang Y Jansen J Nykanen P Lorence DP Ozmutlu S Ozmutlu HC 《Health information and libraries journal》2004,21(1):44-51
This paper reports findings from an analysis of medical or health queries to different web search engines. We report results: (i). comparing samples of 10000 web queries taken randomly from 1.2 million query logs from the AlltheWeb.com and Excite.com commercial web search engines in 2001 for medical or health queries, (ii). comparing the 2001 findings from Excite and AlltheWeb.com users with results from a previous analysis of medical and health related queries from the Excite Web search engine for 1997 and 1999, and (iii). medical or health advice-seeking queries beginning with the word 'should'. Findings suggest: (i). a small percentage of web queries are medical or health related, (ii). the top five categories of medical or health queries were: general health, weight issues, reproductive health and puberty, pregnancy/obstetrics, and human relationships, and (iii). over time, the medical and health queries may have declined as a proportion of all web queries, as the use of specialized medical/health websites and e-commerce-related queries has increased. Findings provide insights into medical and health-related web querying and suggests some implications for the use of the general web search engines when seeking medical/health information. 相似文献
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It is known that users of internet search engines often enter queries with misspellings in one or more search terms. Several web search engines make suggestions for correcting misspelled words, but the methods used are proprietary and unpublished to our knowledge. Here we describe the methodology we have developed to perform spelling correction for the PubMed search engine. Our approach is based on the noisy channel model for spelling correction and makes use of statistics harvested from user logs to estimate the probabilities of different types of edits that lead to misspellings. The unique problems encountered in correcting search engine queries are discussed and our solutions are outlined. 相似文献
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Query recommendation has long been considered a key feature of search engines, which can improve users’ search experience by providing useful query suggestions for their search tasks. Most existing approaches on query recommendation aim to recommend relevant queries, i.e., alternative queries similar to a user’s initial query. However, the ultimate goal of query recommendation is to assist users to reformulate queries so that they can accomplish their search task successfully and quickly. Only considering relevance in query recommendation is apparently not directly toward this goal. In this paper, we argue that it is more important to directly recommend queries with high utility, i.e., queries that can better satisfy users’ information needs. For this purpose, we attempt to infer query utility from users’ sequential search behaviors recorded in their search sessions. Specifically, we propose a dynamic Bayesian network, referred as Query Utility Model (QUM), to capture query utility by simultaneously modeling users’ reformulation and click behaviors. We then recommend queries with high utility to help users better accomplish their search tasks. We empirically evaluated the performance of our approach on a publicly released query log by comparing with the state-of-the-art methods. The experimental results show that, by recommending high utility queries, our approach is far more effective in helping users find relevant search results and thus satisfying their information needs. 相似文献
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国外语义搜索引擎调查与分析 总被引：1，自引：0，他引：1
收集Hakia、SenseBot、Swoogle、Kngine等13种国外典型的语义搜索引擎,以用户体验为视角,通过网站访问与实例测试,对其功能定位、检索范围和检索方法,尤其是语义搜索技术、结果呈现方式等进行深入调查与分析。研究表明,与传统搜索引擎链接清单相比,语义搜索引擎可为查询提供更加精准与直接的答案,能为用户提供更智能化、人性化、知识化的服务。最后对语义搜索引擎存在的问题、局限性和发展趋势进行讨论与展望。 相似文献
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《Library & information science research》2005,27(2):203-221
Transaction logs of NAVER, a major Korean Web search engine, were analyzed to track the information-seeking behavior of Korean Web users. These transaction logs include more than 40 million queries collected over 1 week. This study examines current transaction log analysis methodologies and proposes a method for log cleaning, session definition, and query classification. A term definition method which is necessary for Korean transaction log analysis is also discussed. The results of this study show that users behave in a simple way: they type in short queries with a few query terms, seldom use advanced features, and view few results' pages. Users also behave in a passive way: they seldom change search environments set by the system. It is of interest that users tend to change their queries totally rather than adding or deleting terms to modify the previous queries. The results of this study might contribute to the development of more efficient and effective Web search engines and services. 相似文献
19.
The authors of this paper investigated the impact of the advanced search features of three common search engines on retrieval result performance: Yahoo, Google, and Live Search. The authors analyzed 240 search queries with different information need emphases to determine retrieval effectiveness differences among regular search, title search, exact phrase search, and PDF file format restriction search. A one-way ANOVA method and regression analysis method were used for the study. It was found that the PDF file format restriction search achieved the best retrieval performance among Yahoo, Google and Live Search. The regular search achieved the best web page ranking performance among Yahoo, Google, and Live Search. The findings of this study can be used to assist users in formulating an appropriate search strategy to improve search effectiveness, and to shed light on how search engines react to different types of search features in terms of retrieval effectiveness. 相似文献
20.
The authors of this paper investigated the impact of the advanced search features of three common search engines on retrieval result performance: Yahoo, Google, and Live Search. The authors analyzed 240 search queries with different information need emphases to determine retrieval effectiveness differences among regular search, title search, exact phrase search, and PDF file format restriction search. A one-way ANOVA method and regression analysis method were used for the study. It was found that the PDF file format restriction search achieved the best retrieval performance among Yahoo, Google and Live Search. The regular search achieved the best web page ranking performance among Yahoo, Google, and Live Search. The findings of this study can be used to assist users in formulating an appropriate search strategy to improve search effectiveness, and to shed light on how search engines react to different types of search features in terms of retrieval effectiveness. 相似文献