Search (6 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Suchmaschinen"
  • × type_ss:"m"
  1. Vise, D.A.; Malseed, M.: ¬The Google story (2005) 0.02
    0.019734079 = product of:
      0.039468158 = sum of:
        0.028484445 = weight(_text_:social in 5937) [ClassicSimilarity], result of:
          0.028484445 = score(doc=5937,freq=2.0), product of:
            0.1847249 = queryWeight, product of:
              3.9875789 = idf(docFreq=2228, maxDocs=44218)
              0.046325076 = queryNorm
            0.15419927 = fieldWeight in 5937, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9875789 = idf(docFreq=2228, maxDocs=44218)
              0.02734375 = fieldNorm(doc=5937)
        0.010983714 = product of:
          0.021967428 = sum of:
            0.021967428 = weight(_text_:22 in 5937) [ClassicSimilarity], result of:
              0.021967428 = score(doc=5937,freq=2.0), product of:
                0.16222252 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046325076 = queryNorm
                0.1354154 = fieldWeight in 5937, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.02734375 = fieldNorm(doc=5937)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Abstract
    Social phenomena happen, and the historians follow. So it goes with Google, the latest star shooting through the universe of trend-setting businesses. This company has even entered our popular lexicon: as many note, "Google" has moved beyond noun to verb, becoming an action which most tech-savvy citizens at the turn of the twenty-first century recognize and in fact do, on a daily basis. It's this wide societal impact that fascinated authors David Vise and Mark Malseed, who came to the book with well-established reputations in investigative reporting. Vise authored the bestselling The Bureau and the Mole, and Malseed contributed significantly to two Bob Woodward books, Bush at War and Plan of Attack. The kind of voluminous research and behind-the-scenes insight in which both writers specialize, and on which their earlier books rested, comes through in The Google Story. The strength of the book comes from its command of many small details, and its focus on the human side of the Google story, as opposed to the merely academic one. Some may prefer a dryer, more analytic approach to Google's impact on the Internet, like The Search or books that tilt more heavily towards bits and bytes on the spectrum between technology and business, like The Singularity is Near. Those wanting to understand the motivations and personal growth of founders Larry Page and Sergey Brin and CEO Eric Schmidt, however, will enjoy this book. Vise and Malseed interviewed over 150 people, including numerous Google employees, Wall Street analysts, Stanford professors, venture capitalists, even Larry Page's Cub Scout leader, and their comprehensiveness shows. As the narrative unfolds, readers learn how Google grew out of the intellectually fertile and not particularly directed friendship between Page and Brin; how the founders attempted to peddle early versions of their search technology to different Silicon Valley firms for $1 million; how Larry and Sergey celebrated their first investor's check with breakfast at Burger King; how the pair initially housed their company in a Palo Alto office, then eventually moved to a futuristic campus dubbed the "Googleplex"; how the company found its financial footing through keyword-targeted Web ads; how various products like Google News, Froogle, and others were cooked up by an inventive staff; how Brin and Page proved their mettle as tough businessmen through negotiations with AOL Europe and their controversial IPO process, among other instances; and how the company's vision for itself continues to grow, such as geographic expansion to China and cooperation with Craig Venter on the Human Genome Project. Like the company it profiles, The Google Story is a bit of a wild ride, and fun, too. Its first appendix lists 23 "tips" which readers can use to get more utility out of Google. The second contains the intelligence test which Google Research offers to prospective job applicants, and shows the sometimes zany methods of this most unusual business. Through it all, Vise and Malseed synthesize a variety of fascinating anecdotes and speculation about Google, and readers seeking a first draft of the history of the company will enjoy an easy read.
    Date
    3. 5.1997 8:44:22
  2. Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.01
    0.014641007 = product of:
      0.05856403 = sum of:
        0.05856403 = sum of:
          0.036596604 = weight(_text_:aspects in 2752) [ClassicSimilarity], result of:
            0.036596604 = score(doc=2752,freq=2.0), product of:
              0.20938325 = queryWeight, product of:
                4.5198684 = idf(docFreq=1308, maxDocs=44218)
                0.046325076 = queryNorm
              0.17478286 = fieldWeight in 2752, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                4.5198684 = idf(docFreq=1308, maxDocs=44218)
                0.02734375 = fieldNorm(doc=2752)
          0.021967428 = weight(_text_:22 in 2752) [ClassicSimilarity], result of:
            0.021967428 = score(doc=2752,freq=2.0), product of:
              0.16222252 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046325076 = queryNorm
              0.1354154 = fieldWeight in 2752, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.02734375 = fieldNorm(doc=2752)
      0.25 = coord(1/4)
    
    Content
    Inhalt: Acknowledgments; Abstract; Zusammenfassung; Contents; List of Figures; List of Tables; List of Acronyms; Chapter 1 Introduction ; 1.1 Research Questions; 1.2 Thesis Outline; Part I Fundamentals ; Chapter 2 Information Retrieval for Young Users ; 2.1 Basics of Information Retrieval; 2.1.1 Architecture of an IR System; 2.1.2 Relevance Ranking; 2.1.3 Search User Interfaces; 2.1.4 Targeted Search Engines; 2.2 Aspects of Child Development Relevant for Information Retrieval Tasks; 2.2.1 Human Cognitive Development; 2.2.2 Information Processing Theory; 2.2.3 Psychosocial Development 2.3 User Studies and Evaluation2.3.1 Methods in User Studies; 2.3.2 Types of Evaluation; 2.3.3 Evaluation with Children; 2.4 Discussion; Chapter 3 State of the Art ; 3.1 Children's Information-Seeking Behaviour; 3.1.1 Querying Behaviour; 3.1.2 Search Strategy; 3.1.3 Navigation Style; 3.1.4 User Interface; 3.1.5 Relevance Judgement; 3.2 Existing Algorithms and User Interface Concepts for Children; 3.2.1 Query; 3.2.2 Content; 3.2.3 Ranking; 3.2.4 Search Result Visualisation; 3.3 Existing Information Retrieval Systems for Children; 3.3.1 Digital Book Libraries; 3.3.2 Web Search Engines 3.4 Summary and DiscussionPart II Studying Open Issues ; Chapter 4 Usability of Existing Search Engines for Young Users ; 4.1 Assessment Criteria; 4.1.1 Criteria for Matching the Motor Skills; 4.1.2 Criteria for Matching the Cognitive Skills; 4.2 Results; 4.2.1 Conformance with Motor Skills; 4.2.2 Conformance with the Cognitive Skills; 4.2.3 Presentation of Search Results; 4.2.4 Browsing versus Searching; 4.2.5 Navigational Style; 4.3 Summary and Discussion; Chapter 5 Large-scale Analysis of Children's Queries and Search Interactions; 5.1 Dataset; 5.2 Results; 5.3 Summary and Discussion Chapter 6 Differences in Usability and Perception of Targeted Web Search Engines between Children and Adults 6.1 Related Work; 6.2 User Study; 6.3 Study Results; 6.4 Summary and Discussion; Part III Tackling the Challenges ; Chapter 7 Search User Interface Design for Children ; 7.1 Conceptual Challenges and Possible Solutions; 7.2 Knowledge Journey Design; 7.3 Evaluation; 7.3.1 Study Design; 7.3.2 Study Results; 7.4 Voice-Controlled Search: Initial Study; 7.4.1 User Study; 7.5 Summary and Discussion; Chapter 8 Addressing User Diversity ; 8.1 Evolving Search User Interface 8.1.1 Mapping Function8.1.2 Evolving Skills; 8.1.3 Detection of User Abilities; 8.1.4 Design Concepts; 8.2 Adaptation of a Search User Interface towards User Needs; 8.2.1 Design & Implementation; 8.2.2 Search Input; 8.2.3 Result Output; 8.2.4 General Properties; 8.2.5 Configuration and Further Details; 8.3 Evaluation; 8.3.1 Study Design; 8.3.2 Study Results; 8.3.3 Preferred UI Settings; 8.3.4 User satisfaction; 8.4 Knowledge Journey Exhibit; 8.4.1 Hardware; 8.4.2 Frontend; 8.4.3 Backend; 8.5 Summary and Discussion; Chapter 9 Supporting Visual Searchers in Processing Search Results 9.1 Related Work
    Date
    1. 2.2016 18:25:22
  3. Web search engine research (2012) 0.01
    0.013582967 = product of:
      0.05433187 = sum of:
        0.05433187 = product of:
          0.10866374 = sum of:
            0.10866374 = weight(_text_:aspects in 478) [ClassicSimilarity], result of:
              0.10866374 = score(doc=478,freq=6.0), product of:
                0.20938325 = queryWeight, product of:
                  4.5198684 = idf(docFreq=1308, maxDocs=44218)
                  0.046325076 = queryNorm
                0.51897055 = fieldWeight in 478, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  4.5198684 = idf(docFreq=1308, maxDocs=44218)
                  0.046875 = fieldNorm(doc=478)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    "Web Search Engine Research", edited by Dirk Lewandowski, provides an understanding of Web search engines from the unique perspective of Library and Information Science. The book explores a range of topics including retrieval effectiveness, user satisfaction, the evaluation of search interfaces, the impact of search on society, reliability of search results, query log analysis, user guidance in the search process, and the influence of search engine optimization (SEO) on results quality. While research in computer science has mainly focused on technical aspects of search engines, LIS research is centred on users' behaviour when using search engines and how this interaction can be evaluated. LIS research provides a unique perspective in intermediating between the technical aspects, user aspects and their impact on their role in knowledge acquisition. This book is directly relevant to researchers and practitioners in library and information science, computer science, including Web researchers.
  4. Next generation search engines : advanced models for information retrieval (2012) 0.01
    0.013457636 = product of:
      0.053830545 = sum of:
        0.053830545 = weight(_text_:social in 357) [ClassicSimilarity], result of:
          0.053830545 = score(doc=357,freq=14.0), product of:
            0.1847249 = queryWeight, product of:
              3.9875789 = idf(docFreq=2228, maxDocs=44218)
              0.046325076 = queryNorm
            0.29140925 = fieldWeight in 357, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              3.9875789 = idf(docFreq=2228, maxDocs=44218)
              0.01953125 = fieldNorm(doc=357)
      0.25 = coord(1/4)
    
    Abstract
    Recent technological progress in computer science, Web technologies, and constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Web search has significantly evolved in recent years. In the beginning, web search engines such as Google and Yahoo! were only providing search service over text documents. Aggregated search was one of the first steps to go beyond text search, and was the beginning of a new era for information seeking and retrieval. These days, new web search engines support aggregated search over a number of vertices, and blend different types of documents (e.g., images, videos) in their search results. New search engines employ advanced techniques involving machine learning, computational linguistics and psychology, user interaction and modeling, information visualization, Web engineering, artificial intelligence, distributed systems, social networks, statistical analysis, semantic analysis, and technologies over query sessions. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user's geospatial, social, and historical context. It is conjectured that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.
    With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.
  5. Levy, S.: In the plex : how Google thinks, works, and shapes our lives (2011) 0.01
    0.010070773 = product of:
      0.04028309 = sum of:
        0.04028309 = weight(_text_:social in 9) [ClassicSimilarity], result of:
          0.04028309 = score(doc=9,freq=4.0), product of:
            0.1847249 = queryWeight, product of:
              3.9875789 = idf(docFreq=2228, maxDocs=44218)
              0.046325076 = queryNorm
            0.21807072 = fieldWeight in 9, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.9875789 = idf(docFreq=2228, maxDocs=44218)
              0.02734375 = fieldNorm(doc=9)
      0.25 = coord(1/4)
    
    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.
  6. Morville, P.: Ambient findability : what we find changes who we become (2005) 0.01
    0.0057547274 = product of:
      0.02301891 = sum of:
        0.02301891 = weight(_text_:social in 312) [ClassicSimilarity], result of:
          0.02301891 = score(doc=312,freq=4.0), product of:
            0.1847249 = queryWeight, product of:
              3.9875789 = idf(docFreq=2228, maxDocs=44218)
              0.046325076 = queryNorm
            0.12461184 = fieldWeight in 312, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.9875789 = idf(docFreq=2228, maxDocs=44218)
              0.015625 = fieldNorm(doc=312)
      0.25 = coord(1/4)
    
    Footnote
    Rez. in: nfd - Information Wissenschaft und Praxis 57(2006) H.3, S.177-178 (D. Lewandowski): "Wohl unbestritten ist, dass die Suche in Informationsbeständen eine immer größere Bedeutung erhält. Wir suchen nicht nur noch explizit, indem wir ein Informationssystem anwählen und dort eine Suche absetzen, sondern verwenden Suchfunktionen innerhalb von Programmen, auf Websites, innerhalb des Betriebssystems unseres Computers oder sogar ziemlich unbewusst, indem wir Informationen maßgeschneidert aufgrund einer einmal hinterlegten Suche oder eines automatisch erstellten Suchprofils erhalten. Man kann also in der Tat davon sprechen, dass wir von der Suche umgeben werden. Das ist mit dem Konzept der "Ambient Findability" gemeint. Angelehnt ist diese Bezeichnung an den Begriff der "Ambient Music" (in den 70er Jahren durch Brian Eno geprägt), die den Hörer umgibt und von ihm oft gar nicht aktiv wahrgenommen wird. Um eine Vorstellung von dieser Musik zu bekommen, eignet sich vielleicht am besten der Titel einer Platte eben von Brian Eno: "Music for Airports". Peter Morville, bekannt als Co-Autor des empfehlenswerten Buchs "Information Architecture for the World Wide Web"', hat sich nun mit der Veränderung der Suche auseinandergesetzt. Sein Buch bedient sich in ganz unterschiedlichen Disziplinen, um die Prozesse des Suchens, Stöberns und Findens aufzuzeigen. So finden sich Betrachtungen über die Orientierung des Menschen in unbekannten Umgebungen, über die Interaktion mit Informationssystemen, über das soziale Verhalten der Web-Nutzer (Stichworte: Content-Tagging, Folksonomies, Social Networking) und über technische Veränderungen durch die Verfügbarkeit von Informationssystemen in allen Lebenskontexten, vor allem auch über mobile Endgeräte. Das Buch ist in sieben Kapitel gegliedert. Das erste, "Lost and Found" betitelt, bietet auf wenigen Seiten die Definitionen der zentralen Begriffe ambient und findability, erläutert kurz das Konzept der Information Literacy und zeigt, dass die bessere Auffindbarkeit von Informationen nicht nur ein schöner Zusatznutzen ist, sondern sich für Unternehmen deutlich auszahlt.
    Im Kapitel über das "Sociosemantic Web" werden die groben Grundzüge der Klassifikationslehre erläutert, um dann ausführlich auf neuere Ansätze der Web-Erschließung wie Social Tagging und Folksonomies einzugehen. Auch dieses Kapitel gibt eher einen Überblick als den schon Kundigen vertiefende Informationen zu liefern. Das letzte Kapitel widmet sich schließlich der Art, wie Entscheidungen getroffen werden, der Network Culture, dem Information Overload, um schließlich zu den "Inspired Decisions" zu gelangen - Entscheidungen, die sowohl auf "sachlichen Informationen" (also den klassischen Zutaten der "informed decisions") als auch aus aus Netzwerken stammenden Informationen wie etwa Empfehlungen durch Freunde oder Community-Mitglieder irgendeiner Art gewonnen werden. Fasst man zusammen, so ist an Morvilles Text besonders bemerkenswert, dass nach einigen Jahren, in denen die Suche im Web als ein Problem der Suche in unstrukturierten Daten angesehen wurde, nun wieder verstärkt Erschließungsansätze, die auf klassische Erschließungsinstrumente zurückgreifen, propagiert werden. Zwar sollen sie nicht in ihrer ursprünglichen Form angewandt werden, da den Nutzern nicht zuzumuten ist, sich mit den entsprechenden Regeln auseinanderzusetzen, aber auch hinter der auf den ersten Blick zumindest chaotisch wirkenden Folksonomy ist das Prinzip der Klassifikation zu erkennen. Um die modernen Ansätze erfolgreich zu machen, bedarf es aber dringend Information Professionals, die das "beste aus beiden Welten" verbinden, um moderne, für den Nutzer optimale Informationssysteme zu schaffen. Für die Gesamtbewertung des Buchs gelten die bereits zu einzelnen Kapitels angeführten Kritikpunkte: In erster Linie bleibt das Buch zu sehr an der Oberfläche und wirkt irgendwie "zusammengeschrieben" anstatt als Ergebnis der tiefgreifenden Beschäftigung mit dem Thema. Als eine Einführung in aufkommende Technologien rund um die Suche ist es aber durchaus geeignet - gut lesbar ist der Text auf jeden Fall.