Search (7031 results, page 1 of 352)

  1. Birmingham, J.: Internet search engines (1996) 0.36
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    Abstract
    Basically a good listing in table format of features from the major search engines
    Content
    Darstellung zu verschiedenen search engines des Internet
    Date
    10.11.1996 16:36:22
    Source
    http://www.stark.k12.oh.us/Docs/search/
  2. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.26
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    Date
    25. 8.2005 17:42:22
  3. Dunning, A.: Do we still need search engines? (1999) 0.26
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    Source
    Ariadne. 1999, no.22
  4. Berinstein, P.: Turning visual : image search engines on the Web (1998) 0.26
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    Abstract
    Gives an overview of image search engines on the Web. They work by: looking for graphics files; looking for a caption; looking for Web sites whose titles indicate the presence of picturres on a certain subject; or employing human intervention. Describes the image search capabilities of: AltaVista; Amazing Picture Machine (Http://www.ncrtec.org/picture.htm); HotBot; ImageSurfer (http://ipix.yahoo.com); Lycos; Web Clip Art Search Engine and WebSEEK. The search engines employing human intervention provide the best results
    Object
    Web Clip Art Search Engine
    Source
    Online. 22(1998) no.3, S.37-38,40-42
  5. Conhaim, W.W.: Search tools (1996) 0.25
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    Abstract
    Describes the 3 most popular searching tools for the WWW: InfoSeek, Yahoo and Lycos. Searching Internet directories can also be a useful search technique. Lists other searching engines. Points out a number of evaluations of these search engines published on the WWW. A number of search tools are available for specialized areas. Sites are available that enable parallel searching using several tools at once. Describes WWW pages with information about search engines
    Date
    1. 8.1996 22:39:31
  6. Marchiori, M.: ¬The quest for correct information on the Web : hyper search engines (1997) 0.25
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    Abstract
    Presents a novel method to extract from a web object its hyper informative content, in contrast with current search engines, which only deal with the textual information content. This method is not only valuable per se, but it is shown to be able to considerably increase the precision of current search engines. It integrates with existing search engine technology since it can be implemented on top of every search engine, acting as a post-processor, thus automatically transforming a search engine into its corresponding hyper version. Shows how the hyper information can be usefully employed to face the search engines persuasion problem
    Date
    1. 8.1996 22:08:06
  7. Su, L.T.: ¬A comprehensive and systematic model of user evaluation of Web search engines : Il. An evaluation by undergraduates (2003) 0.24
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    Abstract
    This paper presents an application of the model described in Part I to the evaluation of Web search engines by undergraduates. The study observed how 36 undergraduate used four major search engines to find information for their own individual problems and how they evaluated these engines based an actual interaction with the search engines. User evaluation was based an 16 performance measures representing five evaluation criteria: relevance, efficiency, utility, user satisfaction, and connectivity. Non-performance (user-related) measures were also applied. Each participant searched his/ her own topic an all four engines and provided satisfaction ratings for system features and interaction and reasons for satisfaction. Each also made relevance judgements of retrieved items in relation to his/her own information need and participated in post-search Interviews to provide reactions to the search results and overall performance. The study found significant differences in precision PR1 relative recall, user satisfaction with output display, time saving, value of search results, and overall performance among the four engines and also significant engine by discipline interactions an all these measures. In addition, the study found significant differences in user satisfaction with response time among four engines, and significant engine by discipline interaction in user satisfaction with search interface. None of the four search engines dominated in every aspect of the multidimensional evaluation. Content analysis of verbal data identified a number of user criteria and users evaluative comments based an these criteria. Results from both quantitative analysis and content analysis provide insight for system design and development, and useful feedback an strengths and weaknesses of search engines for system improvement
    Date
    24. 1.2004 18:27:22
  8. Hsieh-Yee, I.: ¬The retrieval power of selected search engines : how well do they address general reference questions and subject questions? (1998) 0.24
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    Abstract
    Evaluates the performance of 8 major Internet search engines in answering 21 real reference questions and 5 made up subject questions. Reports on the retrieval and relevancy ranking abilities of the search engines. Concludes that the search engines did not produce good results for the reference questions unlike for the subject questions. The best engines are identified by type of questions, with Infoseek best for the subject questions, and OpenText best for refrence questions
    Date
    25.12.1998 19:22:51
  9. Notess, G.R.: Toward more comprehensive Web searching : single searching versus megasearching (1998) 0.24
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    Abstract
    In spite of their size, the major Web indexes are not comprehensive. Considers approaches carrying out comprehensive searches, highlighting their advantages and disadvantages. In the single search tool approach, users search the largest of the databses one by one, using the command language uniqe to each to increase the precision of the esearch. In the megasearch approach, search engines use 1 form that simultaneously seands a single query to a number of search engines and then presents the results. Inference Find, Dogpile and MetaFind are examples of good metasearch engines
    Source
    Online. 22(1998) no.2, S.73-76
  10. Hock, R.E.: How to do field searching in Web search engines : a field trip (1998) 0.22
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    Abstract
    Explains how 5 Internet search engines (AltaVista, HotBot, InfoSeek, Lycos, and Yahoo) handle field searching. Includes a chart which identifies where on a search engine's page a particular field is searched and the prefix syntax used, and gives examples. Details the individual fields that can be searched: data, title, URL, images, audiovideo and other page content, links and page depth
    Source
    Online. 22(1998) no.3, S.18-22
  11. Sieverts, E.: Slimmerds onder de zoekmachines (1998) 0.22
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    Abstract
    Web search engines generally use best match search techniques, rather than traditional Boolean operators. Precision in searching will depend on the numbers of selected terms appearing in a document and the inclusion of less-common words in the search string. Users are, therefore, recommended to enter as many words as possible. ExCite and WebCrawler lead users from a relevant document to other documents containing similar word patterns, while MusCat and EuroFerret suggest additional keywords for searching
    Date
    29.12.1998 11:22:34
    Footnote
    Übers. d. Titels: Top of the class among the search engines
  12. Notess, G.R.: DejaNews and other Usenet search tools (1998) 0.21
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    Abstract
    Internet Newsgroup archives on services such as DejaNews offer important sources of information that may not be found elsewhere online. Describes the content of the DejaNews Database which goes back to 1995 and covers more than 14,000 newsgroups. There are 2 search options: quick search and power search. Most Web search engines offer links to DejaNews, but AltaVista offers a smaller alternative and supplement to DejaNews. Reference.COM also offers a searchable archive, as well as a useful current awareness service which allows setting up multiple searches under the user profile tab
    Source
    Online. 22(1998) no.4, S.22-28
  13. Fong, W.W.: Searching the World Wide Web (1996) 0.21
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    Abstract
    Reviews the availability on the WWW, of search engines designed to organize various web information sources. Discusses the differences and similarities of each search engine and their advantages and disadvantages. Search engines included in the study were: AltaVista, CUI W3 Catalog, InfoSeek, Lycos, Magellan, Yahoo
    Source
    Journal of library and information science. 22(1996) no.1, S.15-36
  14. Morrison, P.J.: Tagging and searching : search retrieval effectiveness of folksonomies on the World Wide Web (2008) 0.20
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    Abstract
    Many Web sites have begun allowing users to submit items to a collection and tag them with keywords. The folksonomies built from these tags are an interesting topic that has seen little empirical research. This study compared the search information retrieval (IR) performance of folksonomies from social bookmarking Web sites against search engines and subject directories. Thirty-four participants created 103 queries for various information needs. Results from each IR system were collected and participants judged relevance. Folksonomy search results overlapped with those from the other systems, and documents found by both search engines and folksonomies were significantly more likely to be judged relevant than those returned by any single IR system type. The search engines in the study had the highest precision and recall, but the folksonomies fared surprisingly well. Del.icio.us was statistically indistinguishable from the directories in many cases. Overall the directories were more precise than the folksonomies but they had similar recall scores. Better query handling may enhance folksonomy IR performance further. The folksonomies studied were promising, and may be able to improve Web search performance.
    Date
    1. 8.2008 12:39:22
  15. Howe, A.E.; Dreilinger, D.: SavvySearch: a metasearch engine that learns with search engines to query (1997) 0.20
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    Abstract
    Metasearch engines reduce the burden to users of search engines by dispatching queries to multiple search engines in parallel. The SavvySearch metasearch engine is designed to effiently query other search engines by carefully selecting those search engines likely to return useful results and responding to fluctuating load demands on the WWW. SavvySearch learns to identify which search engines are most appropriate for particular queries, reasons about resource demands, and represents an iterative parallel search strategy as a simple plan
  16. Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012) 0.19
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    Abstract
    This chapter shows that the wider use of Web search engines, reconsidering the theoretical and methodological frameworks to grasp new information practices. Beginning with an overview of the recent challenges implied by the dynamic nature of the Web, this chapter then traces the information behavior related concepts in order to present the different approaches from the user perspective. The authors pay special attention to the concept of "information practice" and other related concepts such as "use", "activity", and "behavior" largely used in the literature but not always strictly defined. The authors provide an overview of user-oriented studies that are meaningful to understand the different contexts of use of electronic information access systems, focusing on five approaches: the system-oriented approaches, the theories of information seeking, the cognitive and psychological approaches, the management science approaches, and the marketing approaches. Future directions of work are then shaped, including social searching and the ethical, cultural, and political dimensions of Web search engines. The authors conclude considering the importance of Critical theory to better understand the role of Web Search engines in our modern society.
    Date
    20. 4.2012 13:22:37
    Footnote
    Vgl.: http://www.igi-global.com/book/next-generation-search-engines/64435.
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  17. Chen, L.-C.: Next generation search engine for the result clustering technology (2012) 0.19
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    Abstract
    Result clustering has recently attracted a lot of attention to provide the users with a succinct overview of relevant search results than traditional search engines. This chapter proposes a mixed clustering method to organize all returned search results into a hierarchical tree structure. The clustering method accomplishes two main tasks, one is label construction and the other is tree building. This chapter uses precision to measure the quality of clustering results. According to the results of experiments, the author preliminarily concluded that the performance of the system is better than many other well-known commercial and academic systems. This chapter makes several contributions. First, it presents a high performance system based on the clustering method. Second, it develops a divisive hierarchical clustering algorithm to organize all returned snippets into hierarchical tree structure. Third, it performs a wide range of experimental analyses to show that almost all commercial systems are significantly better than most current academic systems.
    Date
    17. 4.2012 15:22:11
    Footnote
    Vgl.: http://www.igi-global.com/book/next-generation-search-engines/64429.
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  18. Campbell, K.: Understanding and comparing search engines (1996) 0.19
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    Abstract
    A meta-list of 11 other sites that critique search engines
    Content
    Hinweis auf Beiträge zu den verschiedenen search engines des Internet
  19. Hock, R.: Search engines (2009) 0.19
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    Abstract
    This entry provides an overview of Web search engines, looking at the definition, components, leading engines, searching capabilities, and types of engines. It examines the components that make up a search engine and briefly discusses the process involved in identifying content for the engines' databases and the indexing of that content. Typical search options are reviewed and the major Web search engines are identified and described. Also identified and described are various specialty search engines, such as those for special content such as video and images, and engines that take significantly different approaches to the search problem, such as visualization engines and metasearch engines.
  20. Loeper, D. von: Sherlock Holmes im Netz (1997) 0.19
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    Content
    Beitrag zu den search engines des Internet
    Date
    22. 2.1997 19:50:29

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