Download PDF by Sönke Lieberam-Schmidt: Analyzing and Influencing Search Engine Results: Business

By Sönke Lieberam-Schmidt

ISBN-10: 3834924539

ISBN-13: 9783834924537

ISBN-10: 3834989150

ISBN-13: 9783834989154

The consistent development of the realm huge net (WWW) creates a requirement for brand new innovations which are invaluable for web searchers in addition to for info providers. whereas proper and dependent effects grew to become more durable to discover through se's, the significance for companies to be came across on noticeable positions of the WWW has immensely elevated. Sönke Lieberam-Schmidt analyzes the impression that web optimization (SEO) has at the fiscal targets of internet companies. He buildings on hand website positioning skill, integrates them in an internet site production technique confirmed to achieve success in perform, and develops versions for choosing the perfect key words. For se's, he provides new tools of grouping and featuring results.

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Extra info for Analyzing and Influencing Search Engine Results: Business and Technology Impacts on Web Information Retrieval

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The search engine G OOGLE and the open-source Websearch software N UTCH16 (White, 2006) in order to improve their operations. After adapting the tasks to the MapReduce scheme, the search-engine software can call the map and reduce functions as subroutines. MapReduce performs several steps in order to automatically split the input files, distribute the processes on different machines (workers) and concatenate the output files. 11 shows the steps (1–6) performed when a program of the G OOGLE system calls the MapReduce function.

E. significantly smaller than one second. 5 Presenter The presenter is responsible for the way of presenting the results. Search engines present their output on so-called result pages (search-engine result-page, SERP). In the early days of Web search a query’s result set was quite manageable because of the small amount of existing websites. Solely text based search engines sorted the results using the frequency of the query term appearing in the documents. A list of webpages was the result of the query.

The “Partial” strategy supplements this strategy with a kind of “temporary” PageRank calculated for those pages that are not downloaded yet but that are already referenced by known pages. The “Depth” strategy crawls those pages first that can be reached by following the fewest hyperlinks. The “Length” strategy crawls those sites first that have the most pages in its queue. As one can expect, the “Optimal” strategy produces a high increase of PageRank at the beginning of the crawl. After having retrieved about 75 percent of the pages, however, the “Length” strategy becomes better and dominates even the other types of strategies.

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Analyzing and Influencing Search Engine Results: Business and Technology Impacts on Web Information Retrieval by Sönke Lieberam-Schmidt

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