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Diversity in user queries makes it challenging for search engines
to effectively return a set of relevant results. Both user
intentions to search the web and types of queries are vastly
varied; consequently, horizontal and vertical search engines are
developed to answer user queries more efficiently. However, these
search engines present a variety of problems in web searching.
Result Page Generation for Web Searching: Emerging Research and
Opportunities is an essential reference publication that focuses on
taking advantages from text and web mining in order to address the
issues of recommendation and visualization in web searching.
Highlighting a wide range of topics such as navigational searching,
resource identification, and ambiguous queries, this book is
ideally designed for computer engineers, web designers,
programmers, academicians, researchers, and students.
Diversity in user queries makes it challenging for search engines
to effectively return a set of relevant results. Both user
intentions to search the web and types of queries are vastly
varied; consequently, horizontal and vertical search engines are
developed to answer user queries more efficiently. However, these
search engines present a variety of problems in web searching.
Result Page Generation for Web Searching: Emerging Research and
Opportunities is an essential reference publication that focuses on
taking advantages from text and web mining in order to address the
issues of recommendation and visualization in web searching.
Highlighting a wide range of topics such as navigational searching,
resource identification, and ambiguous queries, this book is
ideally designed for computer engineers, web designers,
programmers, academicians, researchers, and students.
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