Advances in knowledge discovery and data mining : 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings. Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng, editors. Part III /
"The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023.The 143 papers presented in these proceedings were carefully reviewed and selected fro...
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| Format: | Ebook |
| Language: | English |
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Springer,
2023.
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| Series: | Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 13937. LNCS sublibrary. Artificial intelligence. |
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| Online Access: | Springer eBooks |
Table of Contents:
- Big Data:
- Toward Explainable Recommendation via Counterfactual Reasoning / Haiyang Xia, Qian Li, Zhichao Wang, Gang Li
- Online Volume Optimization for Notifications via Long Short-Term Value Modeling / Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu et al.
- Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases / Palla Likhitha, Pamalla Veena, Uday Kiran Rage, Koji Zettsu
- Financial Data:
- Joint Latent Topic Discovery and Expectation Modeling for Financial Markets / Lili Wang, Chenghan Huang, Chongyang Gao, Weicheng Ma, Soroush Vosoughi
- Let the Model Make Financial Senses: A Text2Text Generative Approach for Financial Complaint Identification / Sarmistha Das, Apoorva Singh, Raghav Jain, Sriparna Saha, Alka Maurya
- Information Retrieval and Search:
- Web-Scale Semantic Product Search with Large Language Models / Aashiq Muhamed, Sriram Srinivasan, Choon-Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi et al.
- Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval / Mengmeng Kuang, Zhenhong Chen, Weiyan Wang, Lie Kang, Qiang Yan, Min Tang et al.
- Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion / Qiao Qiao, Yuepei Li, Kang Zhou, Qi Li
- MFBE: Leveraging Multi-field Information of FAQs for Efficient Dense Retrieval / Debopriyo Banerjee, Mausam Jain, Ashish Kulkarni
- Isotropic Representation Can Improve Dense Retrieval / Euna Jung, Jungwon Park, Jaekeol Choi, Sungyoon Kim, Wonjong Rhee
- Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification / Yanhu Li, Taolin Zhang, Dongyang Li, Xiaofeng He
- Internet of Things:
- MIDFA: Memory-Based Instance Division and Feature Aggregation Network for Video Object Detection / Qiaochuan Chen, Min Zhou, Hang Yu
- Medical and Biological Data:
- Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation / Neel Kanwal, Trygve Eftestøl, Farbod Khoraminia, Tahlita C. M. Zuiverloon, Kjersti Engan
- Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis / Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
- DKFM: Dual Knowledge-Guided Fusion Model for Drug Recommendation / Yankai Tian, Yijia Zhang, Xingwang Li, Mingyu Lu
- Hierarchical Graph Neural Network for Patient Treatment Preference Prediction with External Knowledge / Quan Li, Lingwei Chen, Yong Cai, Dinghao Wu
- Multimedia and Multimodal Data:
- An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance / David Hason Rudd, Huan Huo, Guandong Xu
- Dynamically-Scaled Deep Canonical Correlation Analysis / Tomer Friedlander, Lior Wolf
- TCR: Short Video Title Generation and Cover Selection with Attention Refinement / Yakun Yu, Jiuding Yang, Weidong Guo, Hui Liu, Yu Xu, Di Niu
- ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval / Zhen Liu, Yongxin Zhu, Zhujin Gao, Xin Sheng, Linli Xu
- Recommender Systems:
- Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations / Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa et al.
- Interest Driven Graph Structure Learning for Session-Based Recommendation / Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu
- Multi-behavior Guided Temporal Graph Attention Network for Recommendation / Weijun Xu, Han Li, Meihong Wang
- Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation / Edoardo D’Amico, Aonghus Lawlor, Neil Hurley
- Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities / Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong
- Global-Aware External Attention Deep Model for Sequential Recommendation / Tianxing Wang, Can Wang
- Aggregately Diversified Bundle Recommendation via Popularity Debiasing and Configuration-Aware Reranking / Hyunsik Jeon, Jongjin Kim, Jaeri Lee, Jong-eun Lee, U Kang
- Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation / Jongjin Kim, Hyunsik Jeon, Jaeri Lee, U. Kang
- <span class="mathjax-tex">\(\textbf{k}\)</span>NN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval / Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao
- Staying or Leaving: A Knowledge-Enhanced User Simulator for Reinforcement Learning Based Short Video Recommendation / Zhaoqi Yang, Hongyan Liu
- RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling / Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang et al.