Search (916 results, page 44 of 46)

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  1. Bilal, D.; Wang, P.: Children's conceptual structures of science categories and the design of Web directories (2005) 0.00 
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    Journal of the American Society for Information Science and Technology. 56(2005) no.12, S.1303-1315
  2. Thelwall, M.: Can Google's PageRank be used to find the most important academic Web pages? (2003) 0.00 
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    Abstract
    Google's PageRank is an influential algorithm that uses a model of Web use that is dominated by its link structure in order to rank pages by their estimated value to the Web community. This paper reports on the outcome of applying the algorithm to the Web sites of three national university systems in order to test whether it is capable of identifying the most important Web pages. The results are also compared with simple inlink counts. It was discovered that the highest inlinked pages do not always have the highest PageRank, indicating that the two metrics are genuinely different, even for the top pages. More significantly, however, internal links dominated external links for the high ranks in either method and superficial reasons accounted for high scores in both cases. It is concluded that PageRank is not useful for identifying the top pages in a site and that it must be combined with a powerful text matching techniques in order to get the quality of information retrieval results provided by Google.
  3. Lucas, W.T.; Topi, H.: Training for Web search : will it get you in shape? (2004) 0.00 
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    Journal of the American Society for Information Science and Technology. 55(2004) no.13, S.1183-1198
  4. Naing, M.-M.; Lim, E.-P.; Chiang, R.H.L.: Extracting link chains of relationship instances from a Web site (2006) 0.00 
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    Journal of the American Society for Information Science and Technology. 57(2006) no.12, S.1590-1605
  5. Spink, A.: Web search : emerging patterns (2004) 0.00 
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    Abstract
    This article examines the public searching of the Web and provides an overview of recent research exploring what we know about how people search the Web. The article reports selected findings from studies conducted from 1997 to 2002 using large-scale Web user data provided by commercial Web companies, including Excite, Ask Jeeves, and AlltheWeb.com. We examined what topics people search for on the Web; how people search the Web using keywords in queries during search sessions; and the different types of searches conducted for multimedia, medical, e-commerce, sex, etc., information. Key findings include changes and differences in search topics over time, including a shift from entertainment to e-commerce searching by largely North American users. Findings show little change in current patterns of Web searching by many users from short queries and sessions. Alternatively, we see more complex searching behaviors by some users, including successive and multitasking searches.
  6. Slone, D.J.: ¬The impact of time constraints on Internet and Web use (2007) 0.00 
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    Journal of the American Society for Information Science and Technology. 58(2007) no.4, S.508-517
  7. Jansen, B.J.; Molina, P.R.: ¬The effectiveness of Web search engines for retrieving relevant ecommerce links (2006) 0.00 
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    Information processing and management. 42(2006) no.4, S.1075-1098
  8. Topi, H.; Lucas, W.: Searching the Web : operator assistance required (2005) 0.00 
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    Information processing and management. 41(2005) no.2, S.383-404
  9. Mowshowitz, A.; Kawaguchi, A.: Measuring search engine bias (2005) 0.00 
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    Information processing and management. 41(2005) no.5, S.1193-1206
  10. Whittle, M.; Eaglestone, B.; Ford, N.; Gillet, V.J.; Madden, A.: Data mining of search engine logs (2007) 0.00 
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    Journal of the American Society for Information Science and Technology. 58(2007) no.14, S.2382-2400
  11. Thelwall, M.: Extracting accurate and complete results from search engines : case study windows live (2008) 0.00 
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    Journal of the American Society for Information Science and Technology. 59(2008) no.1, S.38-50
  12. Tjondronegoro, D.; Spink, A.: Web search engine multimedia functionality (2008) 0.00 
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    Information processing and management. 44(2008) no.1, S.340-357
  13. Song, R.; Luo, Z.; Nie, J.-Y.; Yu, Y.; Hon, H.-W.: Identification of ambiguous queries in web search (2009) 0.00 
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    Information processing and management. 45(2009) no.2, S.216-229
  14. Ortiz-Cordova, A.; Jansen, B.J.: Classifying web search queries to identify high revenue generating customers (2012) 0.00 
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    Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1426-1441
  15. Makris, C.; Plegas, Y.; Stamou, S.: Web query disambiguation using PageRank (2012) 0.00 
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    Journal of the American Society for Information Science and Technology. 63(2012) no.8, S.1581-1592
  16. Lewandowski, D.: Evaluating the retrieval effectiveness of web search engines using a representative query sample (2015) 0.00 
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    Journal of the Association for Information Science and Technology. 66(2015) no.9, S.1763-1775
  17. Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016) 0.00 
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    Information processing and management. 52(2016) no.5, S.733-752
  18. Kucukyilmaz, T.; Cambazoglu, B.B.; Aykanat, C.; Baeza-Yates, R.: ¬A machine learning approach for result caching in web search engines (2017) 0.00 
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    Information processing and management. 53(2017) no.4, S.834-850
  19. Sa, N.; Yuan, X.(J.): Improving the effectiveness of voice search systems through partial query modification (2022) 0.00 
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    Journal of the Association for Information Science and Technology. 73(2022) no.8, S.1092-1105
  20. Search Engines and Beyond : Developing efficient knowledge management systems, April 19-20 1999, Boston, Mass (1999) 0.00 
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    Content
    Ramana Rao (Inxight, Palo Alto, CA) 7 ± 2 Insights on achieving Effective Information Access Session One: Updates and a twelve month perspective Danny Sullivan (Search Engine Watch, US / England) Portalization and other search trends Carol Tenopir (University of Tennessee) Search realities faced by end users and professional searchers Session Two: Today's search engines and beyond Daniel Hoogterp (Retrieval Technologies, McLean, VA) Effective presentation and utilization of search techniques Rick Kenny (Fulcrum Technologies, Ontario, Canada) Beyond document clustering: The knowledge impact statement Gary Stock (Ingenius, Kalamazoo, MI) Automated change monitoring Gary Culliss (Direct Hit, Wellesley Hills, MA) User popularity ranked search engines Byron Dom (IBM, CA) Automatically finding the best pages on the World Wide Web (CLEVER) Peter Tomassi (LookSmart, San Francisco, CA) Adding human intellect to search technology Session Three: Panel discussion: Human v automated categorization and editing Ev Brenner (New York, NY)- Chairman James Callan (University of Massachusetts, MA) Marc Krellenstein (Northern Light Technology, Cambridge, MA) Dan Miller (Ask Jeeves, Berkeley, CA) Session Four: Updates and a twelve month perspective Steve Arnold (AIT, Harrods Creek, KY) Review: The leading edge in search and retrieval software Ellen Voorhees (NIST, Gaithersburg, MD) TREC update Session Five: Search engines now and beyond Intelligent Agents John Snyder (Muscat, Cambridge, England) Practical issues behind intelligent agents Text summarization Therese Firmin, (Dept of Defense, Ft George G. Meade, MD) The TIPSTER/SUMMAC evaluation of automatic text summarization systems Cross language searching Elizabeth Liddy (TextWise, Syracuse, NY) A conceptual interlingua approach to cross-language retrieval. Video search and retrieval Armon Amir (IBM, Almaden, CA) CueVideo: Modular system for automatic indexing and browsing of video/audio Speech recognition Michael Witbrock (Lycos, Waltham, MA) Retrieval of spoken documents Visualization James A. Wise (Integral Visuals, Richland, WA) Information visualization in the new millennium: Emerging science or passing fashion? Text mining David Evans (Claritech, Pittsburgh, PA) Text mining - towards decision support

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