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ORCID16th KSEM 2023: Guangzhou, China - Part III
- Zhi Jin
, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma:
Knowledge Science, Engineering and Management - 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14119, Springer 2023, ISBN 978-3-031-40288-3
Knowledge Management Systems
- Chao Chang, Junming Zhou, Weisheng Li, Zhengyang Wu, Jing Gao, Yong Tang:
Explainable Multi-type Item Recommendation System Based on Knowledge Graph. 3-15 - Xu Liu, Ruiqi Cai, Yonggang Zhang:
A 2D Entity Pair Tagging Scheme for Relation Triplet Extraction. 16-29 - Yingdong Wang, Qingfeng Wu, Weiqiang Lin, Linjian Ma, Ying Li:
MVARN: Multi-view Attention Relation Network for Figure Question Answering. 30-38 - Yingpei Chen, Yan Tang, Peihao Ding, Xiaobing Li:
MAGNN-GC: Multi-head Attentive Graph Neural Networks with Global Context for Session-Based Recommendation. 39-53 - Chengyi Ding, Lianwei Wu, Pusheng Liu, Linyong Wang:
Chinese Relation Extraction with Bi-directional Context-Based Lattice LSTM. 54-65 - Chengcheng Huang, Shiqun Yin, Lei Li, Yaling Zhang:
MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification. 66-77 - Xinyue Bao, Zili Zhou, Shiliang Gao, Zhaoan Dong, Yuanyuan Lin:
Multi-display Graph Attention Network for Text Classification. 78-93 - Zhuang Liu, Yunpu Ma, Haoxuan Li, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong:
Debiased Contrastive Loss for Collaborative Filtering. 94-105 - Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian:
ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. 106-119 - Chao Ma, Jiwei Qin, Aohua Gao:
Degree-Aware Embedding and Interactive Feature Fusion-Based Graph Convolution Collaborative Filtering. 120-135 - Mankun Zhao, Zhao Liu, Mei Yu, Wenbin Zhang, Yue Zhao, Ming Yang, Jian Yu:
Hypergraph Enhanced Contrastive Learning for News Recommendation. 136-147 - Siyuan Zhang, Yuanxin Ouyang, Zhuang Liu, Weijie He, Wenge Rong, Zhang Xiong:
Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs. 148-159 - Zhiwei An, Yirui Tan, Jinli Zhang, Zongli Jiang, Chen Li:
A Session Recommendation Model Based on Heterogeneous Graph Neural Network. 160-171 - Jie Yang, Hui Song, Bo Xu, Haoran Zhou:
Dialogue State Tracking with a Dialogue-Aware Slot-Level Schema Graph Approach. 172-183 - Changnan Jiang, Chunhe Xia, Zhuodong Liu, Tianbo Wang:
FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-Based Android Malware Classification System. 184-199 - Yun Hou, Yuanxin Ouyang, Zhuang Liu, Fujing Han, Wenge Rong, Zhang Xiong:
Multi-level and Multi-interest User Interest Modeling for News Recommendation. 200-212 - Haonan Hu, Dazhong Rong, Jianhai Chen, Qinming He, Zhenguang Liu:
CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-Start Problem of Recommendation. 213-225 - Caihong Mu, Jiahui Ying, Yunfei Fang, Yi Liu:
A Graph Neural Network for Cross-domain Recommendation Based on Transfer and Inter-domain Contrastive Learning. 226-234 - Jiahuan Chen, Caihong Mu, Mohammed Alloaa, Yi Liu:
A Hypergraph Augmented and Information Supplementary Network for Session-Based Recommendation. 235-243 - Xiaohong Li, Ruihong Li, Qixuan Peng, Huifang Ma:
Candidate-Aware Attention Enhanced Graph Neural Network for News Recommendation. 244-255 - Hanyi Yu, Menghua Jiang, Yin Chen:
Heavy Weighting for Potential Important Clauses. 256-267 - Huahai Lin, Yong Wen, Ping Jiang, Wu Wen, Xianye Liang:
Knowledge-Aware Two-Stream Decoding for Outline-Conditioned Chinese Story Generation. 268-281 - Zhongtian Bao, Jun Wang, Zhenglu Yang:
Multi-path Based Self-adaptive Cross-lingual Summarization. 282-294 - Guoxi Gan, Jia Su, Zonghui Wen, Shenmeng Zhang:
Temporal Repetition Counting Based on Multi-stride Collaboration. 295-306 - Yinggang Li, Xiangrong Tong:
Multi-layer Attention Social Recommendation System Based on Deep Reinforcement Learning. 307-316 - Miao Wang, Jiteng Zhen, Yupeng Ma, Xu Huang, Hong Zhang:
SPOAHA: Spark Program Optimizer Based on Artificial Hummingbird Algorithm. 317-331 - Zhanxuan Chen, Zhengyang Wu, Yong Tang, Jinwei Zhou:
TGKT-Based Personalized Learning Path Recommendation with Reinforcement Learning. 332-346 - Ying Li, Guohua Chen, Yong Tang, Nini Zhang:
Fusion High-Order Information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection. 347-359 - Taizhe Tan, Zhenghao Shan:
Multi-task Learning Based Skin Segmentation. 360-369 - Haiyang Wang, Yan Chu, Hui Ning, Zhengkui Wang, Wen Shan:
User Feedback-Based Counterfactual Data Augmentation for Sequential Recommendation. 370-382 - Jing Wan, Minghui Yuan, Danya Wang, Yao Fu:
Citation Recommendation Based on Knowledge Graph and Multi-task Learning. 383-398 - Fan Yang, Mian Zhang, Gongzhen Hu, Xiabing Zhou:
A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction. 399-410 - Shutao Zhang, Zhizheng Zhang:
The Minimal Negated Model Semantics of Assumable Logic Programs. 411-422 - Haotian Wu, Yubo Gao:
MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation. 423-435
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