LEADER 03833nam 22006735 450 001 9910983310803321 005 20250131115225.0 010 $a9789819617104 010 $a9819617103 024 7 $a10.1007/978-981-96-1710-4 035 $a(CKB)37407207300041 035 $a(DE-He213)978-981-96-1710-4 035 $a(MiAaPQ)EBC31897296 035 $a(Au-PeEL)EBL31897296 035 $a(OCoLC)1496391747 035 $a(EXLCZ)9937407207300041 100 $a20250131d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInformation Retrieval $e30th China Conference, CCIR 2024, Wuhan, China, October 18?20, 2024, Revised Selected Papers /$fedited by Xiangnan He, Zhaochun Ren, Ruiming Tang 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (X, 149 p. 32 illus., 31 illus. in color.) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15418 311 08$a9789819617098 311 08$a981961709X 327 $a -- Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. -- A Dual-Aligned Model for Multimodal Recommendation. -- CASINet: A Context-Aware Social Interaction Rumor Detection Network. -- A Claim Decomposition Benchmark for Long-form Answer Verification. -- Dual-granularity Hierarchical Fusion Network for Multimodal Humor Recognition on Memes. -- Exploring the Potential of Dimension Reduction in Building Efficient Dense Retrieval Systems. -- Relation Extraction Model Based on Overlap Rules and Abductive Learning. -- Multi-task Instruction Tuning for Temporal Question Answering over Knowledge Graphs. -- On the Capacity of Citation Generation by Large Language Models. -- Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?. -- QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression. 330 $aThis book constitutes the refereed proceedings of the 30th China Conference on Information Retrieval, CCIR 2024, held in Wuhan, China, during October 18?20, 2024. The 11 full papers presented in this volume were carefully reviewed and selected from 26 submissions. As the flagship conference of CIPS, CCIR focuses on the development of China?s internet industry and provides a broad platform for the exchange of the latest academic and technological achievements in the field of information retrieval. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15418 606 $aInformation storage and retrieval systems 606 $aApplication software 606 $aData mining 606 $aArtificial intelligence 606 $aInformation Storage and Retrieval 606 $aComputer and Information Systems Applications 606 $aData Mining and Knowledge Discovery 606 $aArtificial Intelligence 615 0$aInformation storage and retrieval systems. 615 0$aApplication software. 615 0$aData mining. 615 0$aArtificial intelligence. 615 14$aInformation Storage and Retrieval. 615 24$aComputer and Information Systems Applications. 615 24$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 676 $a025.04 702 $aHe$b Xiangnan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRen$b Zhaochun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTang$b Ruiming$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983310803321 996 $aInformation retrieval$9331159 997 $aUNINA