Query understanding for search engines / Yi Chang, Hongbo Deng, editors.

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 que...

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Bibliographic Details
Other Authors: Chang, Yi (Writer on computers) (Editor), Deng, Hongbo (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2020]
Series:Information retrieval series ; 46.
Subjects:
Online Access:Click for online access

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245 0 0 |a Query understanding for search engines /  |c Yi Chang, Hongbo Deng, editors. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2020] 
300 |a 1 online resource :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a The information retrieval series ;  |v volume 46 
520 |a 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. 
505 0 |a 1. An Introduction to Query Understanding -- 2. Query Classification -- 3. Query Segmentation and Tagging -- 4. Query Intent Understanding -- 5. Query Spelling Correction -- 6. Query Rewriting -- 7. Query Auto-Completion -- 8. Query Suggestion -- 9. Future Directions of Query Understanding. 
504 |a Includes bibliographical references. 
588 0 |a Online resource; title from digital title page (viewed on January 28, 2021). 
650 0 |a Search engines. 
650 0 |a Querying (Computer science) 
650 0 |a Electronic information resource searching. 
650 7 |a search engines.  |2 aat 
650 7 |a online searching.  |2 aat 
650 7 |a Electronic information resource searching  |2 fast 
650 7 |a Querying (Computer science)  |2 fast 
650 7 |a Search engines  |2 fast 
700 1 |a Chang, Yi  |c (Writer on computers),  |e editor.  |1 https://id.oclc.org/worldcat/entity/E39PCjJ86MhbXWq38R6ggRK6JC 
700 1 |a Deng, Hongbo,  |e editor. 
758 |i has work:  |a Query understanding for search engines (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGwfp3HkYpYc4ttv78P373  |4 https://id.oclc.org/worldcat/ontology/hasWork 
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830 0 |a Information retrieval series ;  |v 46. 
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