Search (50 results, page 1 of 3)

  • × language_ss:"e"
  • × theme_ss:"Suchmaschinen"
  • × year_i:[1990 TO 2000}
  1. Chang, C.-H.; Hsu, C.-C.: Customizable multi-engine search tool with clustering (1997) 0.04
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    Abstract
    Proposes a new idea of searching under the multi-engine search architecture to overcome the problems associated with relevance ranking. These include clustering of the search results and extraction of co-occurence keywords, which, with the user's feedback, better refines the query in the searching process. The system also provides the construction of the concept space to gradually customize the search tool to fit the usage for the user at the same time
    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1217-1224
  2. Carrière, S.J.; Kazman, R.: Webquery : searching and visualising the Web through connectivity (1997) 0.04
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    Abstract
    The WebQuery system offers a powerful new method for searching the Web based on connectivity and content. Examines links among the nodes returned in a keyword-based query. Rankes the nodes, giving the highest rank to the most highly connected nodes. By doing so, finds hot spots on the Web that contain information germane to a user's query. WebQuery not only ranks and filters the results of a Web query; it also extends the result set beyond what the search engine retrieves, by finding interesting sites that are highly connected to those sites returned by the original query. Even with WebQuery filering and ranking query results, the result set can be enormous. Explores techniques for visualizing the returned information and discusses the criteria for using each of the technique
    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1257-1267
  3. Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (1999) 0.03
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    RSWK
    Suchmaschine / Information Retrieval
    World Wide Web / Suchmaschine / Mathematisches Modell (BVB)
    Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
    Subject
    Suchmaschine / Information Retrieval
    World Wide Web / Suchmaschine / Mathematisches Modell (BVB)
    Suchmaschine / Information Retrieval / Mathematisches Modell (HEBIS)
  4. Hsieh-Yee, I.: ¬The retrieval power of selected search engines : how well do they address general reference questions and subject questions? (1998) 0.03
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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
  5. Lawrence, S.; Giles, C.L.: Inquirus, the NECI meta search engine (1998) 0.03
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    Abstract
    Presents Inquirus, a WWW meta search engine which works by downloading and analysing the individual documents. It makes improvements over existing search engines in a number of areas: more useful document summaries incorporating query term context, identification of both pages which no longer exist and pages which no longer contain the query terms, advanced detection of duplicate pages, improved document ranking using proximity information, dramatically improved precision for certain queries by using specific expressive forms, and quick jump links and highlighting when viewing the full document
    Date
    1. 8.1996 22:08:06
  6. Page, L.; Brin, S.; Motwani, R.; Winograd, T.: ¬The PageRank citation ranking : Bringing order to the Web (1999) 0.03
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  7. Laursen, J.V.: Somebody wants to get in touch with you : search engine persuation (1998) 0.03
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    Abstract
    Looks at some of the ways Web pages are designed to improve their ranking by Internet search engines. This is known as search engine persuation (SEP) and it has added a new obstacle to eliminating junk and obtaining successful search results. SEP methods include: taking advantage of ranking principles, abuse of the meta tag which describes the page, misusing the meta tag on the Netscape browser which indicates numbers of other pages linked to that page, and the growth of companies offering to improve ranking
  8. Scoville, R.: Find it on the net (1996) 0.02
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    Abstract
    Basic article with a chart ranking the popular search engines. Includes some searching tips
  9. Losee, R.M.; Paris, L.A.H.: Measuring search-engine quality and query difficulty : ranking with Target and Freestyle (1999) 0.02
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  10. Courtois, M.P.; Berry, M.W.: Results ranking in Web search engines (1999) 0.02
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  11. Brandt, D.S.: Relevancy and searching the Internet (1996) 0.02
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    Abstract
    Considers issues of relevancy when searching the Internet. Compares the value and trade offs involved when using subject-oriented and comprehensive resources and search engines. Discusses relevance or results ranking used by a number of Internet search engines
  12. Byway, B.: Using Web search engines more effectively (1997) 0.02
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    Abstract
    Sets out the basic approach of search engines. They all rely on relevance ranking. Some offer Booelan searching, the option to insist that a keyword is present, proximity searching, and title searching. Refining searches using these techniques can help make search results more relevant
  13. Su, L.T.; Chen, H.L.: Evaluation of Web search engines by undergraduate students (1999) 0.02
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    Abstract
    This research continues to explore the user's evaluation of Web search engines using a methodology proposed by Su (1997) and tested in a pilot study (Su, Chen, & Dong, 1998). It seeks to generate useful insight for system design and improvement, and for engine choice. The researchers were interested in how undergraduate students used four selected engines to retrieve information for their studies or personal interests and how they evaluated the interaction and search results retrieved by the four engines. Measures used were based on five evaluation criteria: relevance, efficiency, utility, user satisfaction, and connectivity. Thirty-six undergraduate juniors and seniors were recruited from the disciplines of sciences, social sciences and humanities. Each searched his/her own topic on all four engines in an assigned order and each made relevance judgements of retrieved items in relation to his/her information need or problem. The study found some significant differences among the four engines but none dominated in every aspect of the multidimensional evaluation. Alta Vista had the highest number of relevant and partially relevant documents, the best relative recall and the highest precision ratio based on PR1, Alter Vista had significantly better scores for these three measures than for Lycos. Infoseek had the highest satisfaction rating for response time. Both Infoseek and Excite had significantly higher satisfaction ratings for response time than Lycos. Excite had the best score for output display. Excite and Alta Vista had significantly better scores for output display than Lycos. Excite had the best rating for time saving while Alta Vista achieved the best score for value of search results as a whole and for overall performance. Alta Vista and Excite had significantly better ratings for these three measures than Lycos. Lycos achieved the best relevance ranking performance. Further work will provide more complete picture for engine comparison and choice by taking into account participant characteristics and identify factors contributing to the user's satisfaction to gain better insight for system design and improvement
    Date
    29. 9.2001 20:39:10
  14. Hock, R.E.: Sizing up HotBot : evaluating one Web search engine's capabilities (1997) 0.02
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    Abstract
    Evaluates HotBot, a powerful well-designed WWW search engine. It provides basic Boolean capabilities, rlevance ranking and decent output options. Features are presented with option windows, checkboxes and buttons. It includes a strong Save Search feature, special feature searching, and searching for links to this URL. Users can slao search recent Usenet postings. Describes the search functionality, output options, customisation, and documentation. Assesses its strengths and weaknesses. It is a good end user choice
  15. Jascó, P.: ¬The coming of age of search engines : much has happened lately to make Web searching easier to command (1998) 0.01
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    Abstract
    Overview of product development among Web search engines. They all went through a language acquisition phase in the past 2 years at an accelerated pace, with results that even the largest traditional services would envy. Spotlights some of the best features, including AltaVista's honouring of upper case and assumption of adjacency; InfoSeek's ability to place reviewed sites at the top of a results list, and its automatic pluralization and singularization; Northern Light's user controlled single and multiple character truncation; Excite's ability to group and ungroup results; HotBot's option to limit a search to specific major disciplines; and Lycos Pro's user controlled ranking of search results. Web searching has never been a more intuitive or user friendly process
  16. Nahl, D.: Ethnography of novices' first use of Web search engines : affective control in cognitive processing (1998) 0.01
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    Abstract
    Reports results of a study, conducted at Hawaii University, Department of Information and Computer Science, to understand the novide searchers' experience in learning to use a WWW search engine. Without prior searching instruction, undergraduate novives wrote structured self reports during their first session on a Web search engine. Users choose their own topics and followed written instructions that prompted them to describe thoughts and feelings during specified stages of the search; pre search formulation; search statement formulation; search strategy; and evaluation of the results. The sentences in the self reports were numbered and then coded according to their affective or cognitive function. The affective sentences reveal how users set goals and limit the scope of the cognitive operations. Search acts appear to be governed by an affective filter that organizes incoming information and provides criteria for ranking cognitive relevance to search goal. Content analysis identifies reasons users have for rating self confidence, stress level, satisfaction, usefulness, and success with future searches
  17. Poynder, R.: Web research engines? (1996) 0.01
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    Abstract
    Describes the shortcomings of search engines for the WWW comparing their current capabilities to those of the first generation CD-ROM products. Some allow phrase searching and most are improving their Boolean searching. Few allow truncation, wild cards or nested logic. They are stateless, losing previous search criteria. Unlike the indexing and classification systems for today's CD-ROMs, those for Web pages are random, unstructured and of variable quality. Considers that at best Web search engines can only offer free text searching. Discusses whether automatic data classification systems such as Infoseek Ultra can overcome the haphazard nature of the Web with neural network technology, and whether Boolean search techniques may be redundant when replaced by technology such as the Euroferret search engine. However, artificial intelligence is rarely successful on huge, varied databases. Relevance ranking and automatic query expansion still use the same simple inverted indexes. Most Web search engines do nothing more than word counting. Further complications arise with foreign languages
  18. Schwartz, C.: Web search engines (1998) 0.01
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    Abstract
    This reviews looks briefly at the history of WWW search engine development, considers the current state of affairs, and reflects on the future. Networked discovery tools have evolved along with Internet resource availability. WWW search engines display some complexity in their variety, content, resource acquisition strategies, and in the array of tools the deploy to assist users. A small but growing body of evaluation literature, much of it not systematic in nature, indicates that performance effectiveness is difficult to assess in this setting. Significant improvements in general-content search engine retrieval and ranking performance may not be possible, and are probalby not worth the effort, although search engine providers have introduced some rudimentary attempts at personalization, summarization, and query expansion. The shift to distributed search across multitype database systems could extend general networked discovery and retrieval to include smaller resource collections with rich metadata and navigation tools
  19. Marchiori, M.: ¬The quest for correct information on the Web : hyper search engines (1997) 0.01
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    Date
    1. 8.1996 22:08:06
    Source
    Computer networks and ISDN systems. 29(1997) no.8, S.1225-1235
  20. Hancock, B.: Subject-specific search engines : using the Harvest system to gather and maintain information on the Internet (1998) 0.01
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    Date
    6. 3.1997 16:22:15
    5. 3.1999 19:29:26

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