LEADER 04372nam 22006975 450 001 996466447303316 005 20230329205332.0 010 $a3-030-31624-6 024 7 $a10.1007/978-3-030-31624-2 035 $a(CKB)4100000009362570 035 $a(DE-He213)978-3-030-31624-2 035 $a(MiAaPQ)EBC5927389 035 $a(PPN)248601652 035 $a(EXLCZ)994100000009362570 100 $a20190917d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInformation Retrieval$b[electronic resource] $e25th China Conference, CCIR 2019, Fuzhou, China, September 20?22, 2019, Proceedings /$fedited by Qi Zhang, Xiangwen Liao, Zhaochun Ren 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XII, 173 p. 44 illus., 29 illus. in color.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11772 311 $a3-030-31623-8 320 $aIncludes bibliographical references and index. 327 $aMining User Profiles from Query Log -- A User Effort Measurement for Query Selection -- Temporal Smoothing: Discriminatively Incorporating Various Temporal Profiles of Queries -- Simplified Representation Learning Model Based on Parameter-Sharing for Knowledge Graph Completion -- Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias -- Selecting Paragraphs to Answer Questions for Multi-Passage Machine Reading Comprehension -- Document-level Named Entity Recognition by Incorporating Global and Neighbor Features -- Investigating Query Reformulation Behavior of Search Users -- A Method for User Avatar Authenticity Based on Multi-feature Fusion -- Multi-granularity Convolutional Neural Network with Feature Fusion and Refinement for User Profiling -- Ensemble System for Identification of Cited Text Spans: Based on Two Steps of Feature Selection -- LTRRS: A Learning to Rank Based Algorithm for Resource Selection in Distributed Information Retrieval -- Joint Learning for Aspect Category Detection and Sentiment Analysis in Chinese Reviews. 330 $aThis book constitutes the refereed proceedings of the 25th China Conference on Information Retrieval, CCIR 2019, held in Fuzhou, China, in September 2019. The 13 full papers presented were carefully reviewed and selected from 45 submissions. Academic research is aimed at the precise acquisition of information and knowledge by human beings. The research results will support national strategic decision-making, promote the development of the Internet and IT fields, enhance the production efficiency of the industry, and have a major impact on various fields of social life. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v11772 606 $aInformation storage and retrieval systems 606 $aApplication software 606 $aDatabase management 606 $aNatural language processing (Computer science) 606 $aSocial sciences?Data processing 606 $aInformation Storage and Retrieval 606 $aComputer and Information Systems Applications 606 $aDatabase Management 606 $aNatural Language Processing (NLP) 606 $aComputer Application in Social and Behavioral Sciences 615 0$aInformation storage and retrieval systems. 615 0$aApplication software. 615 0$aDatabase management. 615 0$aNatural language processing (Computer science). 615 0$aSocial sciences?Data processing. 615 14$aInformation Storage and Retrieval. 615 24$aComputer and Information Systems Applications. 615 24$aDatabase Management. 615 24$aNatural Language Processing (NLP). 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a025.524 702 $aZhang$b Qi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiao$b Xiangwen$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRen$b Zhaochun$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466447303316 996 $aInformation retrieval$9331159 997 $aUNISA