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29th DASFAA 2024: Gifu, Japan - Part III
- Makoto Onizuka

, Jae-Gil Lee, Yongxin Tong, Chuan Xiao
, Yoshiharu Ishikawa
, Sihem Amer-Yahia, H. V. Jagadish
, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14852, Springer 2025, ISBN 978-981-97-5554-7
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IntFair:Graph Neural Networks for Fair Recommendations with Interest Awareness. 3-18 - Jingya Zhou, Jie Wang:

A Novel Multi-Task driven Model for Personalized Paper Recommendations. 19-34 - Xinyue Liu, Bohan Li, Yijun Chen, Xiaoxue Li, Shuai Xu, Hongzhi Yin

:
Disentangled Representations for Cross-Domain Recommendation via Heterogeneous Graph Contrastive Learning. 35-50 - Yiyuan Zheng, Beihong Jin, Beibei Li, Weijiang Lai, Tao Xiang:

Reducing Interaction Noise for Sequential Recommendation via Robust Interests. 51-66 - Hangtong Xu

, Yuanbo Xu, Yongjian Yang:
Separating and Learning Latent Confounders to Enhancing User Preferences Modeling. 67-82 - Tongyu Wu, Jianfeng Qu, Deqing Wang, Zhiming Cui, Guanfeng Liu, Pengpeng Zhao:

Contrasting Transformer and Hypergraph Network for Cooperative Sequential Recommendation. 83-98 - Jiayu Li

, Peijie Sun
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A Situation-aware Enhancer for Personalized Recommendation. 99-114 - Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen:

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. 115-130 - Ming He, Chang Liu, Han Zhang, Zihao Zhang:

Causal Disentangled Sentiment Debiasing for Recommendation. 131-147 - Yabin Zhang, Jiakai Tang, Xu Chen:

Alleviating Dimensional Collapse Problem in Deep Recommender Models by Designing Uniformity Layers. 148-163 - Sirui Huang

, Qian Li
, Xiangmeng Wang
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, Guandong Xu
, Qing Li
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Counterfactual Debasing for Multi-behavior Recommendations. 164-179 - Meng Yan, Haibin Huang, Ying Liu, Juan Zhao, Xiyue Gao, Cai Xu, Ziyu Guan, Wei Zhao:

TruthSR: Trustworthy Sequential Recommender Systems via User-generated Multimodal Content. 180-195 - Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li:

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. 196-211 - Zhaoxiang Zhang

, Zhiheng Li, Jipeng Jin, Xiaofeng Gao, Xiongwen Yang, Bo Zhang, Lei Xiao:
DeepMIN: Deep Multi-modal Interest Network with Cognitive Learning Modules. 212-227 - Boci Peng, Xiaohe Bo, Jiayan Guo, Yan Zhang:

A Diffusion Model with User Preference Guidance for Recommendation. 228-244 - Zhuhang Li, Ning Yang:

Cross-Domain Causal Preference Learning for Out-of-Distribution Recommendation. 245-260 - Guixin Chu, Xinye Guan, Yiran Shi, Bangzuo Zhang, Dongbing Pu:

Self-augmented Contrastive Learning for Knowledge-Aware Recommendation. 261-276 - Siying Chen, Xiaoou Ding, Zheng Liang, Yafeng Tang, Hongzhi Wang:

Hyper-parameter Recommendation for Truth Discovery. 277-292 - Jiakai Tang, Xueyang Feng, Xu Chen:

Fairness-aware Cross-Domain Recommendation. 293-302 - Aoran Zhang, Yonghong Yu, Gongyou Xu, Rong Gao, Li Zhang, Shang Gao, Hongzhi Yin

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Hyperbolic Adversarial Learning for Personalized Item Recommendation. 303-312 - Yao Xiao, Jin Liu, Guangyou Zhou:

Heterogeneous Hypergraph Polynomial Learning for Herb Recommendation. 313-322 - Xun Cai, Yuxiang Lu, Hongtao Lu, Yue Ding:

Towards Mixture of Task-Intensive Experts for Multi-task Recommendation. 323-332 - Zhiying Deng, Jianjun Li, Li Zou, Wei Liu, Si Shi, Qian Chen, Juan Zhao, Guohui Li:

Multi-scale Context-aware User Interest Learning for Behavior Pattern Modeling. 333-342 - Yang Li

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, Chen Lin
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:
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Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. 353-362 - Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen:

Learning Recommender Systems with Soft Target: A Decoupled Perspective. 363-373 - Xiaoxue Li, Bohan Li, Yijun Chen, Xinyue Liu, Shuai Xu, Meng Wang:

Next POI Recommendation based on Adaptive Graph Learning and Future Preferences. 374-384
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Bilingual Multimodal Graph Modeling for Text-Image Relation Inference. 387-402 - Zhiyuan Liu, Yirui Ma, Wei Chen, Qian Zhou, Lei Zhao:

HMM: A Hybrid Multi-modal Model for User Identity Linkage. 403-418 - Haoyu Liu, Yaoxian Song, Xuwu Wang, Xiangru Zhu, Zhixu Li, Wei Song, Tiefeng Li:

Flickr30K-CFQ: A Compact and Fragmented Query Dataset for Text-image Retrieval. 419-434 - Xueyang Li, Haotian Chen, Yunzhong Lou, Xiangdong Zhou:

CF-CAD: A Contrastive Fusion Network For 3D Computer-Aided Design Generative Modeling. 435-450 - Shiqiang Ma, Fei Guo

, Jijun Tang:
SiamSegNet: A multimodal Segmentation Method Based on Cross-modal Generation for Medical Image Segmentation. 451-466 - Xiaolong She, Jingya Zhou, Zhenyu Hu, Boyu Du:

Cross-view Contrastive Learning Enhanced Heterogeneous Graph Networks for Multi-modal Recipe Recommendation. 467-482 - Yan Kang, Hao Lin, Mingjian Yang, Shin-Jye Lee:

UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style. 483-494 - Minju Kim, Seonggyeom Kim

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Unsupervised Controllable Generation of Diffusion Models with Latent Variables in VAEs. 495-504

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