LEADER 03259oam 2200517 450 001 996465457003316 005 20210528153137.0 010 $a3-030-58334-1 024 7 $a10.1007/978-3-030-58334-7 035 $a(CKB)4100000011631511 035 $a(DE-He213)978-3-030-58334-7 035 $a(MiAaPQ)EBC6419240 035 $a(PPN)252514904 035 $a(EXLCZ)994100000011631511 100 $a20210528d2020 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aQuery understanding for search engines /$feditors, Yi Chang and Hongbo Deng 205 $a1st ed. 2020. 210 1$aCham, Switzerland :$cSpringer,$d[2020] 210 4$d©2020 215 $a1 online resource (X, 224 p. 21 illus., 5 illus. in color.) 225 1 $aThe Information Retrieval Series,$x1871-7500 ;$v46 311 $a3-030-58333-3 327 $a1. 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. 330 $aThis book presents a systematic study of practices and theories for query understanding of search engines. These studies can be categorized into three major classes. The first class is to figure out what the searcher wants by extracting semantic meaning from the searcher?s keywords, such as query classification, query tagging, and query intent understanding. The second class is to analyze search queries and then translate them into an enhanced query that can produce better search results, such as query spelling correction or query rewriting. The third class is to assist users in refining or suggesting queries in order to reduce users? search effort and satisfy their information needs, such as query auto-completion and query suggestion. Query understanding is a fundamental part of search engines. It is responsible to precisely infer the intent of the query formulated by the search user, to correct spelling errors in his/her query, to reformulate the query to capture its intent more accurately, and to guide the user in formulating a query with precise intent. The book will be invaluable to researchers and graduate students in computer or information science and specializing in information retrieval or web-based systems, as well as to researchers and programmers working on the development or improvement of products related to search engines. 410 0$aThe Information Retrieval Series,$x1871-7500 ;$v46 606 $aInformation retrieval 606 $aInformation Systems Applications (incl. Internet) 606 $aInformation organization 615 0$aInformation retrieval. 615 0$aInformation Systems Applications (incl. Internet) 615 0$aInformation organization. 676 $a005.758 702 $aDeng$b Hongbo 702 $aZhang$b Yi$f1951- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996465457003316 996 $aQuery understanding for search engines$92247229 997 $aUNISA