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ORCIDAPWeb/WAIM 2024: Jinhua, China - Part II
- Wenjie Zhang
, Anthony K. H. Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo:
Web and Big Data - 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 - September 1, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14962, Springer 2024, ISBN 978-981-97-7234-6
Recommender System
- Jingwei Ma, Jiahui Wen, Mingyang Zhong, Xiangtian Yi:
Hierarchical Review-Based Recommendation with Contrastive Collaboration. 3-17 - Xia Wu, Shaoqing Wang, Yao Zhang:
Adaptive Augmentation and Neighbor Contrastive Learning for Multi-Behavior Recommendation. 18-32 - Rui Bing, Guan Yuan, Zhuo Cai, Bohan Li, Yong Zhou:
Automated Modeling of Influence Diversity with Graph Convolutional Network for Social Recommendation. 33-49 - Jianhong Li:
Contrastive Generator Generative Adversarial Networks for Sequential Recommendation. 50-64 - Zihong Wang, Yingxia Shao, Jiyuan He, Jinbao Liu:
Distribution-Aware Diversification for Personalized Re-ranking in Recommendation. 65-81 - Yingtao Peng, Tangpeng Dan, Zhendong Zhao, Aishan Maoliniyazi, Xiaofeng Meng:
KMIC: A Knowledge-Aware Recommendation with Multivariate Intentions Contrastive Learning. 82-98 - Xingying Tong, Huanhuan Yuan, Yongjing Hao, Junhua Fang, Guanfeng Liu, Pengpeng Zhao:
Logic Preference Fusion Reasoning on Recommendation. 99-114 - Mingyu Cui, Zhaohui Peng, Yaohui Chu, Jikun Lu, Yashu Tan:
MHGNN: Hybrid Graph Neural Network with Mixers for Multi-interest Session-Aware Recommendation. 115-129 - Zhuolun Dong, Yan Yang, Yingli Zhong:
Mixed Augmentation Contrastive Learning for Graph Recommendation System. 130-143 - Qi Wang, Anbiao Wu, Ye Yuan, Yishu Wang, Guangqing Zhong, Xuefeng Gao, Chenghu Yang:
Noise-Resistant Graph Neural Networks for Session-Based Recommendation. 144-160 - Ronghua Zhang, Wei Song, Limengzi Yuan, Changzheng Liu:
S2DNMF: A Self-supervised Deep Nonnegative Matrix Factorization Recommendation Model Incorporating Deep Latent Features of Network Structure. 161-176 - Jing He, Zhen Zhang, Yuanhui Xiao, Mian Wang:
Self-filtering Residual Attention Network Based on Multipair Information Fusion for Session-Based Recommendations. 177-192 - Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M. Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, Zang Li:
TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. 193-208 - Linan Zheng, Jiale Chen, Pengsheng Liu, Guangfa Zhang, Jinyun Fang:
VM-Rec: A Variational Mapping Approach for Cold-Start User Recommendation. 209-224
Knowledge Graph
- Xinhe Li, Chenghuan Jiang, Peng Wang:
Matching Tabular Data to Knowledge Graph Based on Multi-level Scoring Filters for Table Entity Disambiguation. 227-242 - Jinhao Zhang, Lizong Zhang, Jinchuan Zhang, Yichen Xin, Xu Zheng:
Complex Knowledge Base Question Answering via Structure and Content Dual-Driven Method. 243-255 - Peiheng He, Yingjie Xiao, Chengxin He, Lei Duan:
EvoREG: Evolutional Modeling with Relation-Entity Dual-Guidance for Temporal Knowledge Graph Reasoning. 256-271 - Bingchen Liu, Yuanyuan Fang, Xu Wang, Xin Li:
Federated Knowledge Graph Embedding Unlearning via Diffusion Model. 272-286 - Xiaolin Hu:
Functional Knowledge Graph Towards Knowledge Application and Data Management for General Users. 287-299 - Lina Chen, Juntao Zheng, Jiayi Mao:
Hospital Outpatient Guidance System Based On Knowledge Graph. 300-310 - Xiao Pan, Meng Jiang, Shuhai Wang, Ning Li, Jing Sun, Zuocheng Wang:
TOP: Taxi Destination Prediction Based on Trajectory Knowledge Graph. 311-326 - Yaqi Cheng, Bohan Li, Zhengming Qian, Hailian Yin:
Type-Based Neighborhood Aggregation for Knowledge Graph Alignment. 327-340 - Yashen Wang, Xiaoye Ouyang, Xiaoling Zhu, Dayu Guo, Yi Zhang:
An Aggregation Procedure Enhanced Mechanism for GCN-Based Knowledge Graph Completion Model by Leveraging Condensed Sampling and Attention Optimization. 341-356
Spatial and Temporal Data
- Yongshang Zheng, Xu Zhou:
Capturing Fine and Coarse Grained User Preferences with Dual-Transformer for Next POI Recommendation. 359-373 - Xinyu Qian, Yongjing Hao, Xuefeng Xian, Zhiming Cui, Guanfeng Liu, Pengpeng Zhao:
Enhancing Spatio-temporal Semantics with Contrastive Learning for Next POI Recommendation. 374-389 - Ao Chen, Shaosheng Cao, Haipeng Zhang:
Distinguish the Indistinguishable: Spatial Personalized Transformer for Traffic Flow Forecast. 390-404 - Weijuan Zhao, Peizhong Yang, Lizhen Wang, Hongmei Chen:
Meeting Pattern Detection from Trajectories in Road Network. 405-420 - Tianyu Zhang, Lin Li, Rui Zhang, Xiaohui Tao:
Speed Prediction of Multiple Traffic Scenarios with Local Fluctuation. 421-436 - Ying Lin, Xingjian Lu, Yibing Wang, Yuhui Jiang, Wei Mao:
ST-TPFL: Towards Spatio-Temporal Traffic Flow Prediction Based on Topology Protected Federated Learning. 437-451 - Zhihui Wang, Changlian Tan, Yuliang Ni:
A Context-Aware Distance Analysis Approach for Time Series. 452-466 - Rong Yang, Zihan Feng, Linfa Pu, Yajun Yang, Chenya Liu, Qinghua Hu:
Dual-View Stack State Learning Network for Attribute-Based Container Location Assignment. 467-482 - Jian Chen, Junle Chen, Hong Gao, Donghua Yang, Kaiqi Zhang:
Efficient Coverage Query Over Transition Trajectories. 483-498
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