共查询到20条相似文献，搜索用时 880 毫秒
1.
Thanh Tin Tang Nick Craswell David Hawking Kathy Griffiths Helen Christensen 《Information Retrieval》2006,9(2):207-225
When searching for health information, results quality can be judged against available scientific evidence: Do search engines return advice consistent with evidence based medicine? We compared the performance of domain-specific health and depression search engines against a general-purpose engine (Google) on both relevance of results and quality of advice. Over 101 queries, to which the term ‘depression’ was added if not already present, Google returned more relevant results than those of the domain-specific engines. However, over the 50 treatment-related queries, Google returned 70 pages recommending for or against a well studied treatment, of which 19 strongly disagreed with the scientific evidence. A domain-specific index of 4 sites selected by domain experts was only wrong in 5 of 50 recommendations. Analysis suggests a tension between relevance and quality. Indexing more pages can give a greater number of relevant results, but selective inclusion can give better quality. 相似文献
2.
This study examines the use of an ontology as a search tool. Sixteen subjects created queries using Concept-based Information
Retrieval Interface (CIRI) and a regular baseline IR interface. The simulated work task method was used to make the searching
situations realistic. Subjects’ search experiences, queries and search results were examined. The numbers of search concepts
and keys, as well as their overlap in the queries were investigated. The effectiveness of the CIRI and baseline queries was
compared. An Ontology Index (OI) was calculated for all search tasks and the correlation between the OI and the overlap of
search concepts and keys in queries was investigated. The number of search keys and concepts was higher in CIRI queries than
in baseline interface queries. Also the overlap of search keys was higher among CIRI users than among baseline users. These
both findings are due to CIRI’s expansion feature. There was no clear correlation between OI and overlap of search concepts
and keys. The search results were evaluated with generalised precision and recall, and relevance scores based on individual
relevance assessments. The baseline interface queries performed better in all comparisons, but the difference was statistically
significant only in relevance scores based on individual relevance assessments. 相似文献
3.
我国省级公共图书馆网站搜索引擎优化调查分析 总被引：1，自引：0，他引：1
采用直接访问和借助工具查询的调研方式,对全国31个省级公共图书馆网站的首页URL、域名年龄、标题标签、描述和关键词标签、网站流量统计、百度快照日期、谷歌PR值、百度收录、反链数量的搜索引擎优化建设和实施效果情况进行数据统计及研究分析,并从标题标签、描述和关键词标签、网站结构和外部链接4个方面提出相应的优化建议. 相似文献
4.
移动图书馆WAP和APP用户检索行为比较分析 总被引：1，自引：0，他引：1
[目的/意义] 对比用户在使用WAP和APP这两种方式访问移动图书馆时的检索行为,为移动图书馆的服务创新提供参考。[方法/过程] 通过对某高校图书馆OPAC系统移动端日志数据进行统计分析,从搜索会话、查询式、高频关键词以及检索方式等方面展开研究。[结果/结论] 发现用户更多地是使用WAP访问移动图书馆,相比之下,在使用APP访问移动图书馆时,用户更倾向于在短时间内进行较少的查询来结束搜索会话;使用这两种方式查询的高频关键词所属领域有很大的相似性,中文检索多集中在数学、管理学、经济学、社会学等领域;简单检索是用户访问移动图书馆时使用的主要检索方式,通过WAP访问的用户选择其他检索方式的比率要大于通过APP访问的用户。 相似文献
5.
Search engine optimization, or the practice of designing a web site so that it rises to the top of the results page when users search for particular keywords or phrases, has become so prevalent on the modern web that it has a significant influence on Google search results. This article examines the techniques used by search engine optimization practitioners, the difference between “white hat” and “black hat” optimization tactics, and why it is important for library staff to understand these techniques and their impact on search engine results pages. It also looks at ways that library staff can help their users develop awareness of the factors that influence search results and how to better assess the quality and relevance of results listings. 相似文献
6.
Jeffrey Beall 《期刊图书馆员》2013,64(1):40-53
This article critically examines four Google search products (Google Advanced Search, Google News Advanced Search, Google Books Advanced Search, and Google Advanced Scholar Search) and shows how each uses metadata to enhance or improve search results. In addition, the article shows how metadata can increase search precision and recall in information discovery systems. From a library perspective, this article analyzes some of the metadata-enabled features of Google's advanced search pages and compares these features to those found in a typical online library catalog. From a serials perspective, Google News Advanced Search demonstrates how Google indexes news websites, sites that are essentially continuing resources. As Google incorporates more and more metadata functionality into its advanced search pages, they increasingly begin to function more like online library catalogs and less like search pages found in a traditional Internet search engine. The simple search box has many limitations, and like libraries, Google is increasingly creating and offering metadata-enabled search features that improve search precision and recall in its products. 相似文献
7.
《Journal Of Archival Organization》2013,11(3-4):99-118
ABSTRACT This article examined the search functions for all individual EAD Web sites listed on the Library of Congress Web site in 2003. In particular, the type of search engine, search modes, options for searching, search results display, search feedback, and other features of the search systems were studied. The data analysis suggests that there have been some improvements for EAD finding aids within Web sites, but also that problems persist. In addition, the functionality of search systems on Web sites varied considerably and the advantages of EAD finding aids for hierarchical searching have not been fully realized. The article also offers observations about cooperative EAD projects, the issue of search queries, and the relationship between Google and EAD Web sites. 相似文献
8.
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
9.
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
10.
11.
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
12.
Matthew B. Hoy 《Medical reference services quarterly》2013,32(1):67-74
On May 18, 2009, British computer scientist Stephen Wolfram officially launched a new search product called Wolfram|Alpha (WA). This launch was preceded by months of speculation and hype online about exactly what WA would be and how it would compare to Google and other search engines. This article will explore the basic features of WA, show some example queries and results, and discuss the usefulness and limitations of this new tool. 相似文献
13.
V. M. Moskovkin 《Scientific and Technical Information Processing》2009,36(4):198-202
This paper studies the potential of using the Google Scholar search engine for estimating the publication activities of universities
and considers a procedure for such estimation with the help of queries for the English names of universities. The publication
structures for 2008 have been built for ten selected universities of the world, including MSU. The publication activities
of the universities under consideration in 2007, has been compared based on the citation database of the US Institute for
Scientific Information (Web of Knowledge) and Google Scholar search engine (GS-publications). 相似文献
14.
15.
Google搜索引擎及其技术简介 总被引：19，自引：2，他引：17
搜索引擎已经成为人们网络：生活必不可少的工具，因此，国内外的各种搜索引擎纷纷出现。而Google搜索引擎以其雄厚的技术为支撑，凭借其强大的检索功能和高质量的检索服务，逐渐吸引和留住了世界各地的大量网民，成为了世界上最著名的搜索引擎之一。本文在介绍Google基本概况、检索特色及特色功能的基础上，介绍了其核心技术及工作机理，最后对其发展趋势作了分析。 相似文献
16.
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
17.
Efthimis N. Efthimiadis Nicos Malevris Apostolos Kousaridas Alexandra Lepeniotou Nikos Loutas 《Information Retrieval》2009,12(3):352-379
The study reports on a longitudinal and comparative evaluation of Greek language searching on the web. Ten engines, five global
(A9, AltaVista, Google, MSN Search, and Yahoo!) and five Greek (Anazitisi, Ano-Kato, Phantis. Trinity, and Visto), were evaluated
using (a) navigational queries in 2004 and 2006; and (b) by measuring the freshness of the search engine indices in 2005 and
2006. Homepage finding queries for known Greek organizations were created and searched. Queries included the name of the organization
in its Greek and non-Greek, English or transliterated equivalent forms. The organizations represented ten categories: government
departments, universities, colleges, travel agencies, museums, media (TV, radio, newspapers), transportation, and banks. The
freshness of the indices was evaluated by examining the status of the returned URLs (live versus dead) from the navigational
queries, and by identifying if the engines have indexed 32480 active (live) Greek domain URLs. Effectiveness measures included
(a) qualitative assessment of how engines handle the Greek language; (b) precision at 10 documents (P@10); (c) mean reciprocal
rank (MRR); (d) Navigational Query Discounted Cumulative Gain (NQ-DCG), a new heuristic evaluation measure; (e) response time;
(f) the ratio of the dead URL links returned, (g) the presence or absence of URLs and the decay observed over the period of
the study. The results report on which of the global and Greek search engines perform best; and if the performance achieved
is good enough from a user’s perspective. 相似文献
18.
Bevan Koopman Guido Zuccon Peter Bruza Laurianne Sitbon Michael Lawley 《Information Retrieval》2016,19(1-2):6-37
This paper presents a Graph Inference retrieval model that integrates structured knowledge resources, statistical information retrieval methods and inference in a unified framework. Key components of the model are a graph-based representation of the corpus and retrieval driven by an inference mechanism achieved as a traversal over the graph. The model is proposed to tackle the semantic gap problem—the mismatch between the raw data and the way a human being interprets it. We break down the semantic gap problem into five core issues, each requiring a specific type of inference in order to be overcome. Our model and evaluation is applied to the medical domain because search within this domain is particularly challenging and, as we show, often requires inference. In addition, this domain features both structured knowledge resources as well as unstructured text. Our evaluation shows that inference can be effective, retrieving many new relevant documents that are not retrieved by state-of-the-art information retrieval models. We show that many retrieved documents were not pooled by keyword-based search methods, prompting us to perform additional relevance assessment on these new documents. A third of the newly retrieved documents judged were found to be relevant. Our analysis provides a thorough understanding of when and how to apply inference for retrieval, including a categorisation of queries according to the effect of inference. The inference mechanism promoted recall by retrieving new relevant documents not found by previous keyword-based approaches. In addition, it promoted precision by an effective reranking of documents. When inference is used, performance gains can generally be expected on hard queries. However, inference should not be applied universally: for easy, unambiguous queries and queries with few relevant documents, inference did adversely affect effectiveness. These conclusions reflect the fact that for retrieval as inference to be effective, a careful balancing act is involved. Finally, although the Graph Inference model is developed and applied to medical search, it is a general retrieval model applicable to other areas such as web search, where an emerging research trend is to utilise structured knowledge resources for more effective semantic search. 相似文献
19.
In this paper, we present a framework that can process a user query for retrieval of information from documents of different properties across multiple domains, with specific application to patent laws and regulations. The framework has three basic components. The first component is ontology mapping and generation. What happens is that the keywords entered by users are mapped into a subset of relevant keywords. This step is performed by looking up those words in an ontology database. The second component is the joint and cross search in various document domains; in our case, they are patents and scientific publications. The last component is to modify the search results by applying user feedback statistics. The results of feedback will be saved as metadata for future uses.A case example is given to demonstrate how results from multiple domain searches can be combined using ontology and cross referencing. We use an example of well-known biotechnology patents on erythropoietin (EPO) and give detailed analysis on each document domain with this keyword. Relationships between each domain are demonstrated.A user feedback mechanism is also discussed in this paper. The ability to take user feedback into the framework is important. There is no doubt that domain knowledge from expert or experienced users could be a very good compliment to the proposed system. Both direct and indirect user feedbacks are discussed. 相似文献
20.
Google Scholar Beta检索性能的初步分析 总被引：6，自引：1，他引：6
利用多个医学提问，通过对Google Scholar Beta、PubMed、ISI Science Citation Index Expanded、CrossRef Search、Scirus等工具检索结果的对比，分析 Google Scholar Beta 测试版搜索引擎在学术信息检索中的性能表现，特别是检索的查全率、结果的相关性、文献被引用检索等方面的性能，指出其存在的不足，并对该搜索引擎对图书馆跨库查询方案的影响进行初步探讨。 相似文献