Query Understanding for Search Engines: 46 (The Information Retrieval Series) - Tapa blanda

Libro 37 de 42: The Information Retrieval
 
9783030583361: Query Understanding for Search Engines: 46 (The Information Retrieval Series)
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ISBN 10: 3030583368 ISBN 13: 9783030583361
Editorial: Springer, 2021

Sinopsis

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.

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Acerca del autor

Yi Chang is the Dean of the School of Artificial Intelligence, Jilin University, China. Prior to this, he was Technical Vice President at Huawei Research America, and Research Director at Yahoo Research. His research interests include information retrieval, data mining, machine learning, natural language processing, and artificial intelligence. He has published more than 100 papers on premium conferences or journals, and was elected as an ACM Distinguished Scientist in 2018 for his contributions to intelligent algorithms for search engines.
Hongbo Deng is Senior Staff Engineer and Director in the Search and Recommendation Business Unit at Alibaba Group. Before that, he was a senior software engineer at Google, and a senior research scientist at Yahoo! Labs. His research interests include information retrieval, web search, data mining, recommendation system, natural language processing. He won the Best Paper Award in SIGKDD 2016, and the Vannevar Bush Best Paper Award in JCDL 2012. He is a senior member of ACM.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2021
Idioma
Inglés
ISBN 10 
3030583368
ISBN 13 
9783030583361
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
236
Editor
Chang Yi, Deng Hongbo
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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Otras ediciones populares con el mismo título

9783030583330: Query Understanding for Search Engines: 46 (The Information Retrieval Series, 46)

Edición Destacada

ISBN 10:  3030583333 ISBN 13:  9783030583330
Editorial: Springer, 2020
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