-
Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents
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- Content
- Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
-
Suchen und Finden im Internet (2007)
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- LCSH
- Business Information Systems
Economics/Management Science
Information Systems Applications (incl.Internet)
- Subject
- Business Information Systems
Economics/Management Science
Information Systems Applications (incl.Internet)
-
Drabenstott, K.M.: Web search strategies (2000)
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- Abstract
- Surfing the World Wide Web used to be cool, dude, real cool. But things have gotten hot - so hot that finding something useful an the Web is no longer cool. It is suffocating Web searchers in the smoke and debris of mountain-sized lists of hits, decisions about which search engines they should use, whether they will get lost in the dizzying maze of a subject directory, use the right syntax for the search engine at hand, enter keywords that are likely to retrieve hits an the topics they have in mind, or enlist a browser that has sufficient functionality to display the most promising hits. When it comes to Web searching, in a few short years we have gone from the cool image of surfing the Web into the frying pan of searching the Web. We can turn down the heat by rethinking what Web searchers are doing and introduce some order into the chaos. Web search strategies that are tool-based-oriented to specific Web searching tools such as search en gines, subject directories, and meta search engines-have been widely promoted, and these strategies are just not working. It is time to dissect what Web searching tools expect from searchers and adjust our search strategies to these new tools. This discussion offers Web searchers help in the form of search strategies that are based an strategies that librarians have been using for a long time to search commercial information retrieval systems like Dialog, NEXIS, Wilsonline, FirstSearch, and Data-Star.
- Content
- "Web searching is different from searching commercial IR systems. We can learn from search strategies recommended for searching IR systems, but most won't be effective for Web searching. Web searchers need strate gies that let search engines do the job they were designed to do. This article presents six new Web searching strategies that do just that."
- Date
- 22. 9.1997 19:16:05
- Imprint
- Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Graduate School of Library and Information Science
- Source
- Saving the time of the library user through subject access innovation: Papers in honor of Pauline Atherton Cochrane. Ed.: W.J. Wheeler
-
Price, A.: Five new Danish subject gateways under development (2000)
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- Content
- Subject gateways zu den Bereichen: Business economics - The virtual music library - clinical information - food science and food technology - energy technology
- Date
- 22. 6.2002 19:41:31
-
Zeynali-Tazehkandi, M.; Nowkarizi, M.: ¬ A dialectical approach to search engine evaluation (2020)
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- Abstract
- Evaluation of information retrieval systems is a fundamental topic in Library and Information Science. The aim of this paper is to connect the system-oriented and the user-oriented approaches to relevant philosophical schools. By reviewing the related literature, it was found that the evaluation of information retrieval systems is successful if it benefits from both system-oriented and user-oriented approaches (composite). The system-oriented approach is rooted in Parmenides' philosophy of stability (immovable) which Plato accepts and attributes to the world of forms; the user-oriented approach is rooted in Heraclitus' flux philosophy (motion) which Plato defers and attributes to the tangible world. Thus, using Plato's theory is a comprehensive approach for recognizing the concept of relevance. The theoretical and philosophical foundations determine the type of research methods and techniques. Therefore, Plato's dialectical method is an appropriate composite method for evaluating information retrieval systems.
-
Jenkins, C.: Automatic classification of Web resources using Java and Dewey Decimal Classification (1998)
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- Abstract
- The Wolverhampton Web Library (WWLib) is a WWW search engine that provides access to UK based information. The experimental version developed in 1995, was a success but highlighted the need for a much higher degree of automation. An interesting feature of the experimental WWLib was that it organised information according to DDC. Discusses the advantages of classification and describes the automatic classifier that is being developed in Java as part of the new, fully automated WWLib
- Date
- 1. 8.1996 22:08:06
- Source
- Computer networks and ISDN systems. 30(1998) nos.1/7, S.646-648
-
Su, L.T.: ¬A comprehensive and systematic model of user evaluation of Web search engines : I. Theory and background (2003)
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- Abstract
- The project proposes and tests a comprehensive and systematic model of user evaluation of Web search engines. The project contains two parts. Part I describes the background and the model including a set of criteria and measures, and a method for implementation. It includes a literature review for two periods. The early period (1995-1996) portrays the settings for developing the model and the later period (1997-2000) places two applications of the model among contemporary evaluation work. Part II presents one of the applications that investigated the evaluation of four major search engines by 36 undergraduates from three academic disciplines. It reports results from statistical analyses of quantitative data for the entire sample and among disciplines, and content analysis of verbal data containing users' reasons for satisfaction. The proposed model aims to provide systematic feedback to engine developers or service providers for system improvement and to generate useful insight for system design and tool choice. The model can be applied to evaluating other compatible information retrieval systems or information retrieval (IR) techniques. It intends to contribute to developing a theory of relevance that goes beyond topicality to include value and usefulness for designing user-oriented information retrieval systems.
- Source
- Journal of the American Society for Information Science and technology. 54(2003) no.13, S.1175-1192
-
Marchiori, M.: ¬The quest for correct information on the Web : hyper search engines (1997)
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- Date
- 1. 8.1996 22:08:06
- Source
- Computer networks and ISDN systems. 29(1997) no.8, S.1225-1235
-
Chang, C.-H.; Hsu, C.-C.: Customizable multi-engine search tool with clustering (1997)
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- Date
- 1. 8.1996 22:08:06
- Source
- Computer networks and ISDN systems. 29(1997) no.8, S.1217-1224
-
Hancock, B.: Subject-specific search engines : using the Harvest system to gather and maintain information on the Internet (1998)
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- Date
- 6. 3.1997 16:22:15
5. 3.1999 19:29:26
- Source
- Library software review. 17(1998) no.2, S.84-89
-
Brophy, J.; Bawden, D.: Is Google enough? : Comparison of an internet search engine with academic library resources (2005)
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- Abstract
- Purpose - The purpose of the study was to compare an internet search engine, Google, with appropriate library databases and systems, in order to assess the relative value, strengths and weaknesses of the two sorts of system. Design/methodology/approach - A case study approach was used, with detailed analysis and failure checking of results. The performance of the two systems was assessed in terms of coverage, unique records, precision, and quality and accessibility of results. A novel form of relevance assessment, based on the work of Saracevic and others was devised. Findings - Google is superior for coverage and accessibility. Library systems are superior for quality of results. Precision is similar for both systems. Good coverage requires use of both, as both have many unique items. Improving the skills of the searcher is likely to give better results from the library systems, but not from Google. Research limitations/implications - Only four case studies were included. These were limited to the kind of queries likely to be searched by university students. Library resources were limited to those in two UK academic libraries. Only the basic Google web search functionality was used, and only the top ten records examined. Practical implications - The results offer guidance for those providing support and training for use of these retrieval systems, and also provide evidence for debates on the "Google phenomenon". Originality/value - This is one of the few studies which provide evidence on the relative performance of internet search engines and library databases, and the only one to conduct such in-depth case studies. The method for the assessment of relevance is novel.
-
Fong, W.W.: Searching the World Wide Web (1996)
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- Source
- Journal of library and information science. 22(1996) no.1, S.15-36
-
Carrière, S.J.; Kazman, R.: Webquery : searching and visualising the Web through connectivity (1997)
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- Date
- 1. 8.1996 22:08:06
- Source
- Computer networks and ISDN systems. 29(1997) no.8, S.1257-1267
-
Mukherjea, S.; Hirata, K.; Hara, Y.: Towards a multimedia World-Wide Web information retrieval engine (1997)
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- Date
- 1. 8.1996 22:08:06
- Source
- Computer networks and ISDN systems. 29(1997) no.8, S.1181-1191
-
Sherman, C.: Reference resources on the Web (2000)
0.02
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- Abstract
- Evaluation of AskJeeves, Electric Library and Information Please as questions answering search engines
- Date
- 29. 3.2002 17:49:46
- Object
- Electric Library
-
Tan, W.: Subject access on Internet : highlights of the metasearch engines (1998)
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- Source
- Journal of educational media and library sciences. 36(1998) no.1, S.20-29
-
Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000)
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- Date
- 25. 8.2005 17:42:22
- Source
- Library and information research news. 24(2000) no.77, S.30-34
-
From 'storage and retrieval systems' to 'search engines' : text retrieval in evolution (1998)
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- Source
- Bulletin of the American Society for Information Science. 24(1998), April/May, S.6-20
-
Chau, M.; Wong, C.H.; Zhou, Y.; Qin, J.; Chen, H.: Evaluating the use of search engine development tools in IT education (2010)
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- Abstract
- It is important for education in computer science and information systems to keep up to date with the latest development in technology. With the rapid development of the Internet and the Web, many schools have included Internet-related technologies, such as Web search engines and e-commerce, as part of their curricula. Previous research has shown that it is effective to use search engine development tools to facilitate students' learning. However, the effectiveness of these tools in the classroom has not been evaluated. In this article, we review the design of three search engine development tools, SpidersRUs, Greenstone, and Alkaline, followed by an evaluation study that compared the three tools in the classroom. In the study, 33 students were divided into 13 groups and each group used the three tools to develop three independent search engines in a class project. Our evaluation results showed that SpidersRUs performed better than the two other tools in overall satisfaction and the level of knowledge gained in their learning experience when using the tools for a class project on Internet applications development.
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.2, S.288-299
-
Zins, C.: Models for classifying Internet resources (2002)
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- Abstract
- Designing systematic access to Internet resources is a major item an the agenda of researchers and practitioners in the field of information science, and is the focus of this study. A critical analysis of classification schemes used in major portals and Web classified directories exposes inconsistencies in the way they classify Internet resources. The inconsistencies indicate that the developers fall to differentiate the various classificatory models, and are unaware of their different rationales. The study establishes eight classificatory models for resources available to Internet users. Internet resources can be classified by subjects, objects, applications, users, locations, reference sources, media, and languages. The first five models are contentrelated; namely they characterize the content of the resource. The other three models are formst-related; namely they characterize the format of the resource or its technological infrastructure. The study identifies and formulates the eight classificatory models, analyzes their rationales, and discusses alternative ways to combine them in a faceted integrated classification scheme.
- Source
- Knowledge organization. 29(2002) no.1, S.20-28
