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Analyzing and Influencing Search Engine Results: Business and Technology Impacts on Web Information Retrieval
Kategorie Beschreibung
036aXA-DE
037beng
077a332527344 Buchausg. u.d.T.: ‡Lieberam-Schmidt, Sönke: Analyzing and influencing search engine results
087q978-3-8349-2453-7
100 Lieberam-Schmidt, Sönke
331 Analyzing and Influencing Search Engine Results
335 Business and Technology Impacts on Web Information Retrieval
410 Wiesbaden
412 Gabler Verlag / Springer Fachmedien Wiesbaden GmbH, Wiesbaden
425 2010
425a2010
433 Online-Ressource (XX, 221p. 75 illus, digital)
451bSpringerLink. Bücher
501 Includes bibliographical references (p. [207]-218) and index
517 Foreword; Acknowledgements; Contents; List of Figures; List of Tables; List of Abbreviations; Introduction; 1 Web Search; 1.1 Information Demand; 1.1.1 User's Information Need; 1.1.2 User Behavior; 1.2 Search Tools; 1.3 How Search EnginesWork; 1.3.1 Crawler; 1.3.2 Indexer; 1.3.3 Analyzer; 1.3.4 Searcher; 1.3.5 Presenter; 1.4 A New Approach to Relevancy; 1.5 Evolution ofWeb Search Engines; 2 Web Structure; 2.1 Evolution of Information Supply; 2.2 Web Content; 2.3 TheWeb Graph; 2.3.1 Reasons for Regarding the Web Graph; 2.3.2 Properties of the Web Graph. 2.3.3 Representation and Storage of the Web Graph2.4 Link Analysis; 2.4.1 Ranking; 2.4.2 Authorities and Hubs; 2.4.3 Other Link-based Methods; 2.5 Data Structures; 2.5.1 Feasible Data Structures; 2.5.2 Evaluation; 2.5.3 Selection; 2.6 HITS in Practice; 2.6.1 Implementation of the Algorithm; 2.6.2 Experimental Results and Evaluation; 3 Result Clustering; 3.1 Clustering Methods; 3.2 Web Clustering; 3.3 Text Based Approaches; 3.4 Link Based Approaches; 3.4.1 Robust Clustering Algorithm; 3.4.2 Inclusion of Link Direction; 3.4.3 Architecture; 3.4.4 Experimental Results; 3.5 Combined Approaches. 3.5.1 Architecture3.5.2 Preprocessing; 3.5.3 Document Representation; 3.5.4 Clustering Method Combination; 3.5.5 Implementation; 3.5.6 Experimental Results; 4 Search Engine Optimization; 4.1 Objectives; 4.1.1 Website Visitors; 4.1.2 Result Page Position; 4.2 Possibilities and Means; 4.2.1 Visibility; 4.2.2 Static Relevance; 4.2.3 Dynamic Relevance; 4.3 Keyword Selection; 4.3.1 Keyword Selection Position Model (KSPM); 4.3.2 Enhanced Keyword Selection Position Model (EKSPM); 4.3.3 Keyword Selection Top Position Model (KSTPM); 4.4 Limits; 4.4.1 Search Engine Spam; 4.4.2 Spamming Methods. 4.5 Implementation4.5.1 Tasks; 4.5.2 Website Creation Process; 4.6 Practical Results; 4.6.1 Project and Test Websites; 4.6.2 Reporting and Results; 5 Conclusion; Bibliography; Index
527 Buchausg. u.d.T.: ‡Lieberam-Schmidt, Sönke: Analyzing and influencing search engine results
540aISBN 978-3-8349-8915-4
700 |KJQ
700 |UF
700 |BUS083000
700 |COM039000
700 |KJ
700 |BUS042000
700b|650
700b|025.524
700b|025.04
700c|HF54.5-54.56
700g127087697X QP 650
750 Web Search -- Web Structure -- Result Clustering -- Search Engine Optimization -- Conclusion
753 The constant growth of the World Wide Web (WWW) creates a demand for new strategies that are useful for Internet searchers as well as for information suppliers. While relevant and structured results became harder to find by search engines, the importance for businesses to be found on visible positions of the WWW has immensely increased. Sönke Lieberam-Schmidt analyzes the impact that search engine optimization (SEO) has on the economic goals of Web businesses. He structures available SEO means, integrates them in a Website creation process proven to be successful in practice, and develops models for selecting the right keywords. For search engines, he presents new methods of grouping and presenting results
902s 211658502 World Wide Web
902s 209188227 Information Retrieval
902s 214046249 Electronic Commerce
902s 214087239 Website
902s 20889201X Datenstruktur
902s 209057009 Optimierung
907s 211658502 World Wide Web
907s 209188227 Information Retrieval
907s 214046249 Electronic Commerce
907s 214087239 Website
907s 20889201X Datenstruktur
907s 209057009 Optimierung
012 332858200
081 Lieberam-Schmidt, Sönke: Analyzing and Influencing Search Engine Results
100 Springer E-Book
125aElektronischer Volltext - Campuslizenz
655e$uhttp://dx.doi.org/10.1007/978-3-8349-8915-4
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