| 书目名称 | Query Understanding for Search Engines | | 编辑 | Yi Chang,Hongbo Deng | | 视频video | | | 概述 | Presents techniques of query understanding and reformulation for search engines, including query classification, query tagging, query suggestion, query auto completion, and spelling correction.Provide | | 丛书名称 | The Information Retrieval Series | | 图书封面 |  | | 描述 | 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 inform | | 出版日期 | Book 2020 | | 关键词 | Search Engines; Web Search; Query Processing; Information Retrieval; Big Data | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-58334-7 | | isbn_softcover | 978-3-030-58336-1 | | isbn_ebook | 978-3-030-58334-7Series ISSN 1871-7500 Series E-ISSN 2730-6836 | | issn_series | 1871-7500 | | copyright | Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 16:47:06
