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001476005 001__ 1476005
001476005 003__ OCoLC
001476005 005__ 20231003174628.0
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001476005 008__ 230817s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001476005 020__ $$a9783031402890$$q(electronic bk.)
001476005 020__ $$a3031402898$$q(electronic bk.)
001476005 020__ $$z9783031402883
001476005 0247_ $$a10.1007/978-3-031-40289-0$$2doi
001476005 035__ $$aSP(OCoLC)1394019501
001476005 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE
001476005 049__ $$aISEA
001476005 050_4 $$aQA76.76.E95$$bK77 2023eb
001476005 08204 $$a006.3/31$$223/eng/20230817
001476005 1112_ $$aKSEM (Conference)$$n(16th :$$d2023 :$$cGuangzhou, China)
001476005 24510 $$aKnowledge science, engineering and management :$$b16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings.$$nPart III /$$cZhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma, editors.
001476005 2463_ $$aKSEM 2023
001476005 264_1 $$aCham :$$bSpringer,$$c2023.
001476005 300__ $$a1 online resource (xxiv, 438 pages) :$$billustrations (some color).
001476005 336__ $$atext$$btxt$$2rdacontent
001476005 337__ $$acomputer$$bc$$2rdamedia
001476005 338__ $$aonline resource$$bcr$$2rdacarrier
001476005 4901_ $$aLecture notes in artificial intelligence
001476005 4901_ $$aLecture notes in computer science ;$$v14119
001476005 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence
001476005 500__ $$aIncludes author index.
001476005 5050_ $$aKnowledge Management Systems -- Explainable Multi-type Item Recommendation System based on Knowledge Graph -- A 2D Entity Pair Tagging Scheme for Relation Triplet Extraction -- MVARN: Multi-view attention relation network for figure question answering -- MAGNN-GC: Multi-Head Attentive Graph Neural Networks with Global Context for Session-based Recommendation -- Chinese Relation Extraction with Bi-directional Context-based Lattice LSTM -- MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification -- Multi-Display Graph Attention Network for Text Classification -- Debiased Contrastive Loss for Collaborative Filtering -- ParaSum: Contrastive Paraphrasing for Low-resource Extractive Text Summarization -- Degree-aware embedding and Interactive feature fusion-based Graph Convolution Collaborative Filtering -- Hypergraph Enhanced Contrastive Learning for News Recommendation -- Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs -- A Session Recommendation Model based on Heterogeneous Graph Neural Network -- Dialogue State Tracking with a Dialogue-aware Slot-Level Schema Graph Approach -- FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-based Android Malware Classification System -- Multi-level and Multi-interest User Interest Modeling for News Recommendation -- CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation -- A Graph Neural Network for Cross-Domain Recommendation Based on Transfer and Inter-Domain Contrastive Learning -- A Hypergraph Augmented and Information Supplementary Network for Session-based Recommendation -- Candidate-aware Attention Enhanced Graph Neural Network for News Recommendation -- Heavy Weighting for Potential Important Clauses -- Knowledge-Aware Two-Stream Decoding for Outline-Conditioned Chinese Story Generation -- Multi-Path based Self-Adaptive Cross-Lingual Summarization -- Temporal Repetition Counting Based on Multi-Stride Collaboration -- Multi-layer Attention Social Recommendation System based on Deep Reinforcement Learning -- SPOAHA: Spark program optimizer based on Artificial Hummingbird Algorithm -- TGKT-based Personalized Learning Path Recommendation with Reinforcement Learning -- Fusion High-Order information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection -- Multi-task learning based skin segmentation -- User Feedback-based Counterfactual Data Augmentation for Sequential Recommendation -- Citation Recommendation Based on Knowledge Graph and Multi-task Learning -- A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction -- The Minimal Negated Model Semantics of Assumable Logic Programs -- MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation.
001476005 506__ $$aAccess limited to authorized users.
001476005 520__ $$aThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16-18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management.
001476005 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 17, 2023).
001476005 650_0 $$aKnowledge acquisition (Expert systems)$$vCongresses.
001476005 650_0 $$aKnowledge management$$vCongresses.
001476005 650_0 $$aDecision making$$xData processing$$vCongresses.
001476005 650_0 $$aProblem solving$$xData processing$$vCongresses.
001476005 650_0 $$aInformation technology$$vCongresses.
001476005 650_0 $$aData mining$$vCongresses.
001476005 655_0 $$aElectronic books.
001476005 7001_ $$aJin, Zhi,$$d1962-$$eeditor.$$1https://orcid.org/0000-0003-1087-226X
001476005 7001_ $$aJiang, Yuncheng,$$eeditor.$$0(orcid)0000-0002-4294-454X$$1https://orcid.org/0000-0002-4294-454X
001476005 7001_ $$aBuchmann, Robert Andrei,$$eeditor.$$0(orcid)0000-0002-7385-1610$$1https://orcid.org/0000-0002-7385-1610
001476005 7001_ $$aBi, Yaxin,$$eeditor.$$1https://orcid.org/0000-0002-0979-4084
001476005 7001_ $$aGhiran, Ana-Maria,$$eeditor.$$0(orcid)0000-0001-7890-9386$$1https://orcid.org/0000-0001-7890-9386
001476005 7001_ $$aMa, Wenjun,$$eeditor.$$0(orcid)0000-0003-4600-398X$$1https://orcid.org/0000-0003-4600-398X
001476005 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001476005 830_0 $$aLecture notes in computer science ;$$v14119.
001476005 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001476005 852__ $$bebk
001476005 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-40289-0$$zOnline Access$$91397441.1
001476005 909CO $$ooai:library.usi.edu:1476005$$pGLOBAL_SET
001476005 980__ $$aBIB
001476005 980__ $$aEBOOK
001476005 982__ $$aEbook
001476005 983__ $$aOnline
001476005 994__ $$a92$$bISE