Weiyi Meng, Clement Yu, M. Tamer Ozsu's Advanced Metasearch Engine Technology PDF

By Weiyi Meng, Clement Yu, M. Tamer Ozsu

ISBN-10: 1608451925

ISBN-13: 9781608451920

One of the seek instruments at present on the internet, se's are the main renowned because of the recognition of significant se's resembling Google and Yahoo!. whereas super winning, those significant se's do have critical boundaries. This ebook introduces large-scale metasearch engine know-how, which has the aptitude to beat the restrictions of the search engines. basically, a metasearch engine is a seek procedure that helps unified entry to a number of latest se's via passing the queries it gets to its part se's and aggregating the lower back effects right into a unmarried ranked checklist. A large-scale metasearch engine has millions or extra part se's. whereas metasearch engines have been at the start stimulated by means of their skill to mix the hunt assurance of a number of se's, there also are different merits resembling the capability to acquire larger and brisker effects and to arrive the Deep net. the next significant parts of large-scale metasearch engines could be mentioned intimately during this ebook: seek engine choice, seek engine incorporation, and consequence merging. hugely scalable and automatic strategies for those parts are emphasised. The authors make a robust case for the viability of the large-scale metasearch engine expertise as a aggressive know-how for internet seek. desk of Contents: advent / Metasearch Engine structure / seek Engine choice / seek Engine Incorporation / consequence Merging / precis and destiny study

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Extra info for Advanced Metasearch Engine Technology

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Although much research is still needed, a lot of progress has already been made. In the next three chapters, some of these progresses will be reported. , they are built and maintained independently. The developers of each search engine decide what documents the search engine will provide search services to, how documents should be represented, and when the index should be updated. Similarities between documents and user queries are computed using a similarity function. It is again up to the developers of each search engine to decide what similarity function to use.

Since there are four vertices, all entries in matrix K are 1/4. 8. 05 ⎦ . 25)t , where Vt denotes the transpose of vector V . 316. Note that page c is pointed to by 2 pages, while each of the other pages is pointed to by 1 page only. As a result, the PageRank of c is higher than that of other pages. The reason why the rank of d is higher than that of page a or that of page b is that d is pointed at by the most important page, namely page c. PageRank is computed based on link information alone, and the contents of the Web pages are not considered.

Some of these metasearch engines will be mentioned in this chapter and in subsequent chapters. In this chapter, we will provide some general discussions about the metasearch engine technology. 1, a reference metasearch engine architecture will be introduced. This architecture contains all the main system components and the function of each component will be described. 2, an in-depth analysis of the advantages and disadvantages of the metasearch engine technology in comparison to the search engine technology will be provided.

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Advanced Metasearch Engine Technology by Weiyi Meng, Clement Yu, M. Tamer Ozsu


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