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Query Understanding for Search Engines (Paperback, 1st ed. 2020)
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Query Understanding for Search Engines (Paperback, 1st ed. 2020)
Series: The Information Retrieval Series, 46
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This book presents a systematic study of practices and theories for
query understanding of search engines. These studies can be
categorized into three major classes. The first class is to figure
out what the searcher wants by extracting semantic meaning from the
searcher's keywords, such as query classification, query tagging,
and query intent understanding. The second class is to analyze
search queries and then translate them into an enhanced query that
can produce better search results, such as query spelling
correction or query rewriting. The third class is to assist users
in refining or suggesting queries in order to reduce users' search
effort and satisfy their information needs, such as query
auto-completion and query suggestion. Query understanding is a
fundamental part of search engines. It is responsible to precisely
infer the intent of the query formulated by the search user, to
correct spelling errors in his/her query, to reformulate the query
to capture its intent more accurately, and to guide the user in
formulating a query with precise intent. The book will be
invaluable to researchers and graduate students in computer or
information science and specializing in information retrieval or
web-based systems, as well as to researchers and programmers
working on the development or improvement of products related to
search engines.
General
Imprint: |
Springer Nature Switzerland AG
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Country of origin: |
Switzerland |
Series: |
The Information Retrieval Series, 46 |
Release date: |
December 2021 |
First published: |
2020 |
Editors: |
Yi Chang
• Hongbo Deng
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Dimensions: |
235 x 155mm (L x W) |
Format: |
Paperback
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Pages: |
224 |
Edition: |
1st ed. 2020 |
ISBN-13: |
978-3-03-058336-1 |
Categories: |
Books >
Computing & IT >
Applications of computing >
Databases >
General
|
LSN: |
3-03-058336-8 |
Barcode: |
9783030583361 |
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