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Efficient Query Processing for Scalable Web Search (Paperback)
Loot Price: R2,297
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Efficient Query Processing for Scalable Web Search (Paperback)
Series: Foundations and Trends (R) in Information Retrieval
Expected to ship within 10 - 15 working days
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Every day, millions of users rely on search engines to satisfy the
information needs required for performing many routine tasks. The
effectiveness and efficiency of a search engine are two prime goals
that form a natural trade-off. Meanwhile, search engines continue
to rapidly evolve, with larger indexes, more complex retrieval
strategies and growing query volumes. Hence, there is a need for
efficient query processing infrastructures that make appropriate
sacrifices in effectiveness in order to make gains in efficiency.
This survey comprehensively reviews the foundations of search
engines, from index layouts to basic query processing strategies,
while also providing the latest trends in the literature in
efficient query processing. It goes on to describe techniques in
applying a cascading infrastructure within search systems, such as
learned models obtained from learning-to-rank techniques. The
survey also covers the selective application of query processing
techniques to ensure that the required retrieval speed targets can
be met. Finally, the authors bring the reader completely up-to-date
by describing techniques for the efficient deployment of learned
models in a multi-stage ranking system. Efficient Query Processing
for Scalable Web Search will be a valuable reference for
researchers and developers working on cutting edge of web system
design where effective and efficient search is an integral part of
the design.
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