Advanced Metasearch Engine Technology

[LeeAndro]

English | PDF | 2011 | 129 Pages | ISBN : 1608451925 | 1 MB

Among the search tools currently on the Web, search ees are the most well known thanks to the popularity of major search ees such as Google and Yahoo!​

. While extremely successful, these major search ees do have serious limitations. This book introduces large-scale metasearch ee technology, which has the potential to overcome the limitations of the major search ees. Essentially, a metasearch ee is a search system that supports unified access to multiple existing search ees by passing the queries it receives to its component search ees and aggregating the returned results into a single ranked list. A large-scale metasearch ee has thousands or more component search ees.
While metasearch ees were initially motivated by their ability to combine the search coverage of multiple search ees, 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 ees will be discussed in detail in this book: search ee selection, search ee incorporation, and result meg. Highly scalable and automated solutions for these components are emphasized. The authors make a strong case for the viability of the large-scale metasearch ee technology as a competitive technology for Web search.



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