Abstract is missing.
- KRec-C2: A Knowledge Graph Enhanced Recommendation with Context Awareness and Contrastive LearningYingtao Peng, Zhendong Zhao, Aishan Maoliniyazi, Xiaofeng Meng 0001. 3-20 [doi]
- HIT: Learning a Hierarchical Tree-Based Model with Variable-Length Layers for Recommendation SystemsAnran Xu, Shuo Yang 0001, Shuai Li, Zhenzhe Zheng, Lingling Yao, Fan Wu 0006, Guihai Chen, Jie Jiang. 21-37 [doi]
- Disentangling User Intention for Sequential Recommendation with Dual Intention Decoupling NetworkLiangliang Chen, Guang Chen. 38-53 [doi]
- Thompson Sampling with Time-Varying Reward for Contextual BanditsCairong Yan, Hualu Xu, Haixia Han, Yanting Zhang 0001, Zijian Wang. 54-63 [doi]
- Cold-Start Based Multi-scenario Ranking Model for Click-Through Rate PredictionPeilin Chen, Hong Wen, Jing Zhang 0037, FuYu Lv, Zhao Li, Qijie Shen, Wanjie Tao, Ying Zhou, Chao Zhang. 64-79 [doi]
- Query2Trip: Dual-Debiased Learning for Neural Trip RecommendationPeipei Wang, Lin Li 0001, Ru Wang, Xiaohui Tao. 80-96 [doi]
- A New Reconstruction Attack: User Latent Vector Leakage in Federated RecommendationZheng Zhang, Wei Song 0006. 97-112 [doi]
- Dual-View Self-supervised Co-training for Knowledge Graph RecommendationRuoyi Zhang, Huifang Ma, Qingfeng Li, Yike Wang, Zhixin Li. 113-128 [doi]
- PIDE: Propagating Influence of Dynamic Evolution on Interaction Networks for RecommendationChunjing Xiao, Shenkai Lv, Wanlin Ji, Yuxiang Zhang, Haiying Pan, Lingshan Wu. 129-146 [doi]
- Intra- and Inter-behavior Contrastive Learning for Multi-behavior RecommendationQingfeng Li, Huifang Ma, Ruoyi Zhang, Wangyu Jin, Zhixin Li. 147-162 [doi]
- Disentangled Contrastive Learning for Cross-Domain RecommendationRuohan Zhang, Tianzi Zang, Yanmin Zhu, Chunyang Wang, Ke Wang, Jiadi Yu. 163-178 [doi]
- Intention-Aware User Modeling for Personalized News RecommendationRongyao Wang, Shoujin Wang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Chaoqun Zheng, Xinxiao Qiao. 179-194 [doi]
- Deep User and Item Inter-matching Network for CTR PredictionZhiyang Yuan, Yingyuan Xiao, Peilin Yang, Qingbo Hao, Hongya Wang. 195-204 [doi]
- Towards Lightweight Cross-Domain Sequential Recommendation via External Attention-Enhanced Graph Convolution NetworkJinyu Zhang, Huichuan Duan, Lei Guo 0008, Liancheng Xu, Xinhua Wang 0003. 205-220 [doi]
- ALGCN: Accelerated Light Graph Convolution Network for RecommendationRonghai Xu, Haijun Zhao, Zhi-yuan Li, Chang-Dong Wang. 221-236 [doi]
- Multi-view Spatial-Temporal Enhanced Hypergraph Network for Next POI RecommendationYantong Lai, Yijun Su, Lingwei Wei, Gaode Chen, Tianci Wang, Daren Zha. 237-252 [doi]
- ML-KGCL: Multi-level Knowledge Graph Contrastive Learning for RecommendationGong Chen, Xiaoyuan Xie. 253-268 [doi]
- Temporal-Aware Multi-behavior Contrastive RecommendationHongrui Xuan, Bohan Li 0001. 269-285 [doi]
- GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential RecommendationYongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen. 286-296 [doi]
- A Three-Layer Attentional Framework Based on Similar Users for Dual-Target Cross-Domain RecommendationJinhu Lu, Guohao Sun, Xiu Fang, Jian Yang 0001, Wei He. 297-313 [doi]
- CHSR: Cross-view Learning from Heterogeneous Graph for Session-Based RecommendationJunchen Wang, Lei Duan, Runze Ma, Yidan Zhang, Zhaohang Luo. 314-329 [doi]
- MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate PredictionXiaofeng Pan, Yibin Shen, Jing Zhang 0037, Xu He, Yang Huang, Hong Wen, Chengjun Mao, Bo Cao. 330-340 [doi]
- Towards Efficient and Effective Transformers for Sequential RecommendationWenqi Sun, Zheng Liu, Xinyan Fan, Ji-Rong Wen, Wayne Xin Zhao. 341-356 [doi]
- Adversarial Learning Enhanced Social Interest Diffusion Model for RecommendationJiaxi Wang, Haochen Li, Tong Mo, Weiping Li. 357-372 [doi]
- Adversarial Learning Data Augmentation for Graph Contrastive Learning in RecommendationJunjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia 0006, Huawei Shen, Xueqi Cheng. 373-388 [doi]
- Sequential Hypergraph Convolution Network for Next Item RecommendationJiaxing Chen, Hongzhi Liu 0001, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu. 389-405 [doi]
- Multi-granularity Item-Based Contrastive RecommendationRuobing Xie, Zhijie Qiu, Bo Zhang 0056, Leyu Lin. 406-416 [doi]
- Hyperbolic Mutual Learning for Bundle RecommendationHaole Ke, Lin Li 0001, Peipei Wang, Jingling Yuan, Xiaohui Tao. 417-433 [doi]
- MixMBR: Contrastive Learning for Multi-behavior RecommendationZhicheng Qiao, Hui Yan, Lei Han. 434-445 [doi]
- CATCL: Joint Cross-Attention Transfer and Contrastive Learning for Cross-Domain RecommendationShuo Xiao, Dongqing Zhu, Chaogang Tang, Zhenzhen Huang. 446-461 [doi]
- Memory-Enhanced Period-Aware Graph Neural Network for General POI RecommendationTianchi Yang, Haihan Gao, Cheng Yang 0002, Chuan Shi, Qianlong Xie, Xingxing Wang, Dong Wang. 462-472 [doi]
- Attentive Hawkes Process Application for Sequential RecommendationShuodian Yu, Li Ma, Xiaofeng Gao 0001, Jianxiong Guo, Guihai Chen. 473-488 [doi]
- Modeling High-Order Relation to Explore User Intent with Parallel Collaboration ViewsXiangping Zheng, Xun Liang 0001, Bo Wu, Jun Wang, Yuhui Guo, Sensen Zhang, Yuefeng Ma. 489-504 [doi]
- Spatio-Temporal Position-Extended and Gated-Deep Network for Next POI RecommendationPengxiang Lan, Yihao Zhang, Haoran Xiang, Yuhao Wang, Wei Zhou. 505-520 [doi]
- Leveraging Interactive Paths for Sequential RecommendationAoran Li, Yalei Zang, Yani Wang, Bohan Li. 521-536 [doi]
- A Topic-Aware Graph-Based Neural Network for User Interest Summarization and Item Recommendation in Social MediaJunyang Chen, Ge Fan, Zhiguo Gong, Xueliang Li 0002, Victor C. M. Leung, Mengzhu Wang, Ming Yang. 537-546 [doi]
- MG-CR: Factor Memory Network and Graph Neural Network Based Personalized Course RecommendationYun Zhang, Minghe Yu, Jintong Sun, Tiancheng Zhang 0001, Ge Yu 0001. 547-562 [doi]
- Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N RecommendationWei Liu 0061, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin 0001. 563-573 [doi]
- Question Answering over Knowledge Graphs via Machine Reading ComprehensionWeidong Han, Zhaowu Ouyang, Yifan Wang, Weiguo Zheng. 577-594 [doi]
- MACRE: Multi-hop Question Answering via Contrastive Relation EmbeddingMan Xu, Weiguo Zheng, Deqing Yang. 595-605 [doi]
- AIR: Adaptive Incremental Embedding Updating for Dynamic Knowledge GraphsZhifeng Jia, Haoyang Li, Lei Chen. 606-621 [doi]
- Class-Dynamic and Hierarchy-Constrained Network for Entity LinkingKehang Wang, Qi Liu 0003, Kai Zhang 0038, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen. 622-638 [doi]
- Enhancing Knowledge Graph Attention by Temporal Modeling for Entity Alignment with Sparse SeedsChenchen Sun, Yuyuan Jin, Derong Shen, Tiezheng Nie, Xite Wang, Yingyuan Xiao. 639-655 [doi]
- Learning Semantic-Rich Relation-Selective Entity Representation for Knowledge Graph CompletionZenan Xu, Zexuan Qiu, Qinliang Su. 656-672 [doi]
- BiQCap: A Biquaternion and Capsule Network-Based Embedding Model for Temporal Knowledge Graph CompletionSensen Zhang, Xun Liang 0001, Zhiying Li, Junlan Feng, Xiangping Zheng, Bo Wu. 673-688 [doi]
- CLNIE: A Contrastive Learning Based Node Importance Evaluation Method for Knowledge Graphs with Few LabelsJingbo Wang, Yumeng Song, Yu Gu 0002, Xiaohua Li, Fangfang Li. 689-705 [doi]
- Block Decomposition with Multi-granularity Embedding for Temporal Knowledge Graph CompletionLupeng Yue, Yongjian Ren, Yan Zeng, Jilin Zhang, Kaisheng Zeng, Jian Wan 0001. 706-715 [doi]
- HIT - An Effective Approach to Build a Dynamic Financial Knowledge BaseXinyi Zhu, Hao Xin, Yanyan Shen, Lei Chen 0002. 716-731 [doi]
- MulEA: Multi-type Entity Alignment of Heterogeneous Medical Knowledge GraphsMingxia Wang, Peng Tian, Yun Xiong, Jingwen Yue, Yao Zhang 0009, Chunlei Tang. 732-741 [doi]
- Analogy-Triple Enhanced Fine-Grained Transformer for Sparse Knowledge Graph CompletionShaofei Wang, Siying Li, Lei Zou. 742-757 [doi]
- Improving Hyper-relational Knowledge Graph Representation with Multi-grained EncodingTing Ma, Longtao Huang, Hui Xue 0001. 758-767 [doi]
- Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph CompletionXing Gong, Jianyang Qin, Heyan Chai, Ye Ding, Yan Jia, Qing Liao 0001. 768-783 [doi]
- Distantly Supervised Entity Linking with Selection Consistency ConstraintHaipeng Dai, Lei Meng, Hancheng Wang, Rong Gu, Siwen Chen, Feng Chen, Wei Hu. 784-799 [doi]
- Sample and Feature Enhanced Few-Shot Knowledge Graph CompletionKai Zhang, Daokun Zhang, Ning Liu 0014, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, LiZhen Cui. 800-809 [doi]