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会议文集


文集名Database Systems for Advanced Applications
会议名28th International Conference on Database Systems for Advanced Applications (DASFAA 2023)
中译名《第二十八届国际先进应用数据库系统会议，卷2》
会议日期April 17-20, 2023
会议地点Tianjin, China
出版年2023
馆藏号349222


题名作者出版年
KRec-C2: A Knowledge Graph Enhanced Recommendation with Context Awareness and Contrastive LearningYingtao Peng; Zhendong Zhao; Aishan Maoliniyazi; Xiaofeng Meng2023
HIT: Learning a Hierarchical Tree-Based Model with Variable-Length Layers for Recommendation SystemsAnran Xu; Shuo Yang; Shuai Li; Zhenzhe Zheng; LingLing Yao; Fan Wu; Guihai Chen; Jie Jiang2023
Disentangling User Intention for Sequential Recommendation with Dual Intention Decoupling NetworkLiangliang Chen; Guang Chen2023
Thompson Sampling with Time-Varying Reward for Contextual BanditsCairong Yan; Hualu Xu; Haixia Han; Yanting Zhang; Zijian Wang2023
Cold-Start Based Multi-scenario Ranking Model for Click-Through Rate PredictionPeilin Chen; Hong Wen; Jing Zhang; Fuyu Lv; Zhao Li; Qijie Shen; Wanjie Tao; Ying Zhou; Chao Zhang2023
Query2Trip: Dual-Debiased Learning for Neural Trip RecommendationPeipei Wang; Lin Li; Ru Wang; Xiaohui Tao2023
A New Reconstruction Attack: User Latent Vector Leakage in Federated RecommendationZheng Zhang; Wei Song2023
Dual-View Self-supervised Co-training for Knowledge Graph RecommendationRuoyi Zhang; Huifang Ma; Qingfeng Li; Yike Wang; Zhixin Li2023
PIDE: Propagating Influence of Dynamic Evolution on Interaction Networks for RecommendationChunjing Xiao; Shenkai Lv; Wanlin Ji; Yuxiang Zhang; Haiying Pan; Lingshan Wu2023
Intra- and Inter-behavior Contrastive Learning for Multi-behavior RecommendationQingfeng Li; Huifang Ma; Ruoyi Zhang; Wangyn Jin; Zhixin Li2023
Disentangled Contrastive Learning for Cross-Domain RecommendationRuohan Zhang; Tianzi Zang; Yanmin Zhu; Chunyang Wang; Ke Wang; Jiadi Yu2023
Intention-Aware User Modeling for Personalized News RecommendationRongyao Wang; Shoujin Wang; Wenpeng Lu; Xueping Peng; Weiyu Zhang; Chaoqun Zheng; Xinxiao Qiao2023
Deep User and Item Inter-matching Network for CTR PredictionZhiyang Yuan; Yingyuan Xiao; Peilin Yang; Qingbo Hao; Hongya Wang2023
Towards Lightweight Cross-Domain Sequential Recommendation via External Attention-Enhanced Graph Convolution NetworkJinyu Zhang; Huichuan Duan; Lei Guo; Liancheng Xu; Xinhua Wang2023
ALGCN: Accelerated Light Graph Convolution Network for RecommendationRonghai Xu; Haijun Zhao; Zhi-Yuan Li; Chang-Dong Wang2023
Multi-view Spatial-Temporal Enhanced Hypergraph Network for Next POI RecommendationYantong Lai; Yijun Su; Lingwei Wei; Gaode Chen; Tianci Wang; Daren Zha2023
ML-KGCL: Multi-level Knowledge Graph Contrastive Learning for RecommendationGong Chen; Xiaoyuan Xie2023
Temp oral-Aware Multi-behavior Contrastive RecommendationHongrui Xuan; Bohan Li2023
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 Chen2023
A Three-Layer Attentional Framework Based on Similar Users for Dual-Target Cross-Domain RecommendationJinhu Lu; Guohao Sun; Xiu Fang; Jian Yang; Wei He2023
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