000 03561nam a22005055i 4500
001 978-3-031-01843-5
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008 220601s2011 sz | s |||| 0|eng d
020 _a9783031018435
_9978-3-031-01843-5
024 7 _a10.1007/978-3-031-01843-5
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
_2thema
082 0 4 _a004.6
_223
100 1 _aMeng, Weiyi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987688
245 1 0 _aAdvanced Metasearch Engine Technology
_h[electronic resource] /
_cby Weiyi Meng, Clement Yu.
250 _a1st ed. 2011.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2011.
300 _aXI, 117 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Data Management,
_x2153-5426
505 0 _aIntroduction -- Metasearch Engine Architecture -- Search Engine Selection -- Search Engine Incorporation -- Result Merging -- Summary and Future Research.
520 _aAmong the search tools currently on the Web, search engines are the most well known thanks to the popularity of major search engines such as Google and Yahoo!. While extremely successful, these major search engines do have serious limitations. This book introduces large-scale metasearch engine technology, which has the potential to overcome the limitations of the major search engines. Essentially, a metasearch engine is a search system that supports unified access to multiple existing search engines by passing the queries it receives to its component search engines and aggregating the returned results into a single ranked list. A large-scale metasearch engine has thousands or more component search engines. While metasearch engines were initially motivated by their ability to combine the search coverage of multiple search engines, there are also other benefits such as the potential to obtain better and fresher results and to reach the Deep Web. The following major components of large-scale metasearch engines will be discussed in detail in this book: search engine selection, search engine incorporation, and result merging. Highly scalable and automated solutions for these components are emphasized. The authors make a strong case for the viability of the large-scale metasearch engine technology as a competitive technology for Web search. Table of Contents: Introduction / Metasearch Engine Architecture / Search Engine Selection / Search Engine Incorporation / Result Merging / Summary and Future Research.
650 0 _aComputer networks .
_931572
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 1 4 _aComputer Communication Networks.
_987689
650 2 4 _aData Structures and Information Theory.
_931923
700 1 _aYu, Clement.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987691
710 2 _aSpringerLink (Online service)
_987692
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031007156
776 0 8 _iPrinted edition:
_z9783031029714
830 0 _aSynthesis Lectures on Data Management,
_x2153-5426
_987694
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01843-5
912 _aZDB-2-SXSC
942 _cEBK
999 _c86135
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