Search (575 results, page 29 of 29)

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  1. Cunningham, J.: Getting the most from Alta Vista (1996) 0.00
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  2. Craven, T.C.: Variations in use of meta tag descriptions by Web pages in different languages (2004) 0.00
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  3. Lackie, R.J.: Google's Print and Scholar initiatives : the value of and impact on libraries and information services (2005) 0.00
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  4. Levy, S.: In the plex : how Google thinks, works, and shapes our lives (2011) 0.00
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    Abstract
    Few companies in history have ever been as successful and as admired as Google, the company that has transformed the Internet and become an indispensable part of our lives. How has Google done it? Veteran technology reporter Steven Levy was granted unprecedented access to the company, and in this revelatory book he takes readers inside Google headquarters-the Googleplex-to show how Google works. While they were still students at Stanford, Google cofounders Larry Page and Sergey Brin revolutionized Internet search. They followed this brilliant innovation with another, as two of Google's earliest employees found a way to do what no one else had: make billions of dollars from Internet advertising. With this cash cow (until Google's IPO nobody other than Google management had any idea how lucrative the company's ad business was), Google was able to expand dramatically and take on other transformative projects: more efficient data centers, open-source cell phones, free Internet video (YouTube), cloud computing, digitizing books, and much more. The key to Google's success in all these businesses, Levy reveals, is its engineering mind-set and adoption of such Internet values as speed, openness, experimentation, and risk taking. After its unapologetically elitist approach to hiring, Google pampers its engineers-free food and dry cleaning, on-site doctors and masseuses-and gives them all the resources they need to succeed. Even today, with a workforce of more than 23,000, Larry Page signs off on every hire. But has Google lost its innovative edge? It stumbled badly in China-Levy discloses what went wrong and how Brin disagreed with his peers on the China strategy-and now with its newest initiative, social networking, Google is chasing a successful competitor for the first time. Some employees are leaving the company for smaller, nimbler start-ups. Can the company that famously decided not to be evil still compete? No other book has ever turned Google inside out as Levy does with In the Plex.
    Content
    The world according to Google: biography of a search engine -- Googlenomics: cracking the code on internet profits -- Don't be evil: how Google built its culture -- Google's cloud: how Google built data centers and killed the hard drive -- Outside the box: the Google phone company. and the Google t.v. company -- Guge: Google moral dilemma in China -- Google.gov: is what's good for Google, good for government or the public? -- Epilogue: chasing tail lights: trying to crack the social code.
  5. Bilal, D.: Ranking, relevance judgment, and precision of information retrieval on children's queries : evaluation of Google, Yahoo!, Bing, Yahoo! Kids, and ask Kids (2012) 0.00
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    Abstract
    This study employed benchmarking and intellectual relevance judgment in evaluating Google, Yahoo!, Bing, Yahoo! Kids, and Ask Kids on 30 queries that children formulated to find information for specific tasks. Retrieved hits on given queries were benchmarked to Google's and Yahoo! Kids' top-five ranked hits retrieved. Relevancy of hits was judged on a graded scale; precision was calculated using the precision-at-ten metric (P@10). Yahoo! and Bing produced a similar percentage in hit overlap with Google (nearly 30%), but differed in the ranking of hits. Ask Kids retrieved 11% in hit overlap with Google versus 3% by Yahoo! Kids. The engines retrieved 26 hits across query clusters that overlapped with Yahoo! Kids' top-five ranked hits. Precision (P) that the engines produced across the queries was P = 0.48 for relevant hits, and P = 0.28 for partially relevant hits. Precision by Ask Kids was P = 0.44 for relevant hits versus P = 0.21 by Yahoo! Kids. Bing produced the highest total precision (TP) of relevant hits (TP = 0.86) across the queries, and Yahoo! Kids yielded the lowest (TP = 0.47). Average precision (AP) of relevant hits was AP = 0.56 by leading engines versus AP = 0.29 by small engines. In contrast, average precision of partially relevant hits was AP = 0.83 by small engines versus AP = 0.33 by leading engines. Average precision of relevant hits across the engines was highest on two-word queries and lowest on one-word queries. Google performed best on natural language queries; Bing did the same (P = 0.69) on two-word queries. The findings have implications for search engine ranking algorithms, relevance theory, search engine design, research design, and information literacy.
    Type
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  6. Wiggins, R.; Matthews, J.A.: Plateaus, peaks, and promises : the Infonortics '98 search engines conference (1998) 0.00
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  7. Poynder, R.: Web research engines? (1996) 0.00
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  8. Can, F.; Nuray, R.; Sevdik, A.B.: Automatic performance evaluation of Web search engines (2004) 0.00
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  9. Sherman, C.: Google power : Unleash the full potential of Google (2005) 0.00
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    Abstract
    With this title, readers learn to push the search engine to its limits and extract the best content from Google, without having to learn complicated code. "Google Power" takes Google users under the hood, and teaches them a wide range of advanced web search techniques, through practical examples. Its content is organised by topic, so reader learns how to conduct in-depth searches on the most popular search topics, from health to government listings to people.
  10. Thelwall, M.; Vaughan, L.: New versions of PageRank employing alternative Web document models (2004) 0.00
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  11. Sherman, C.; Price, G.: ¬The invisible Web : uncovering information sources search engines can't see (2001) 0.00
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    Abstract
    Enormous expanses of the Internet are unreachable with standard Web search engines. This book provides the key to finding these hidden resources by identifying how to uncover and use invisible Web resources. Mapping the invisible Web, when and how to use it, assessing the validity of the information, and the future of Web searching are topics covered in detail. Only 16 percent of Net-based information can be located using a general search engine. The other 84 percent is what is referred to as the invisible Web-made up of information stored in databases. Unlike pages on the visible Web, information in databases is generally inaccessible to the software spiders and crawlers that compile search engine indexes. As Web technology improves, more and more information is being stored in databases that feed into dynamically generated Web pages. The tips provided in this resource will ensure that those databases are exposed and Net-based research will be conducted in the most thorough and effective manner. Discusses the use of online information resources and problems caused by dynamically generated Web pages, paying special attention to information mapping, assessing the validity of information, and the future of Web searching.
  12. Couvering, E. van: ¬The economy of navigation : search engines, search optimisation and search results (2007) 0.00
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  13. Bilal, D.; Gwizdka, J.: Children's query types and reformulations in Google search (2018) 0.00
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  14. Berry, M.W.; Browne, M.: Understanding search engines : mathematical modeling and text retrieval (2005) 0.00
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    Abstract
    The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly.
  15. Zschunke, P.: Richtig googeln : Ein neues Buch hilft, alle Möglichkeiten der populären Suchmaschine zu nutzen (2003) 0.00
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