- Akshay Jagatap, Sachin Farfade:
Recent Advances in Refinement Recommendations. WSDM 2024: 1171-1172 - Xinke Jiang, Zidi Qin, Jiarong Xu, Xiang Ao:
Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder. WSDM 2024: 304-312 - Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang:
DiffKG: Knowledge Graph Diffusion Model for Recommendation. WSDM 2024: 313-321 - Bowen Jin, Yu Zhang, Sha Li, Jiawei Han:
Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery. WSDM 2024: 1122-1125 - Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum:
Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation. WSDM 2024: 322-331 - Ashish Kapoor:
Foundation Models for Aerial Robotics. WSDM 2024: 1173 - Yungi Kim, Taeri Kim, Won-Yong Shin, Sang-Wook Kim:
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation. WSDM 2024: 332-340 - Menglin Kong, Jia Wang, Yushan Pan, Haiyang Zhang, Muzhou Hou:
C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement. WSDM 2024: 341-349 - Sanmi Koyejo, Bo Li:
Towards Trustworthy Large Language Models. WSDM 2024: 1126-1127 - Lazhar Labiod, Mohamed Nadif, Aghiles Salah:
WSDM 2024 Workshop on Representation Learning & Clustering. WSDM 2024: 1214-1215 - Weronika Lajewska:
Grounded and Transparent Response Generation for Conversational Information-Seeking Systems. WSDM 2024: 1142-1144 - Jacopo Lenti:
Learning Opinion Dynamics from Data. WSDM 2024: 1145-1147 - Jacopo Lenti, Corrado Monti, Gianmarco De Francisci Morales:
Likelihood-Based Methods Improve Parameter Estimation in Opinion Dynamics Models. WSDM 2024: 350-359 - Santiago de Leon-Martinez:
Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank. WSDM 2024: 1139-1141 - Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang:
Multi-Intent Attribute-Aware Text Matching in Searching. WSDM 2024: 360-368 - Xuewei Li, Hongwei Chen, Jian Yu, Mankun Zhao, Tianyi Xu, Wenbin Zhang, Mei Yu:
Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation. WSDM 2024: 387-395 - Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu:
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process. WSDM 2024: 378-386 - Qian Li, Lixin Su, Jiashu Zhao, Long Xia, Hengyi Cai, Suqi Cheng, Hengzhu Tang, Junfeng Wang, Dawei Yin:
Text-Video Retrieval via Multi-Modal Hypergraph Networks. WSDM 2024: 369-377 - Ziqian Lin, Hao Ding, Trong Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang:
Pre-trained Recommender Systems: A Causal Debiasing Perspective. WSDM 2024: 424-433 - Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang:
Mixed Attention Network for Cross-domain Sequential Recommendation. WSDM 2024: 405-413 - Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li:
Inverse Learning with Extremely Sparse Feedback for Recommendation. WSDM 2024: 396-404 - Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang:
Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. WSDM 2024: 414-423 - Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu:
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models. WSDM 2024: 452-461 - Yu Liu, Yanan Cao, Shi Wang, Qingyue Wang, Guanqun Bi:
Generative Models for Complex Logical Reasoning over Knowledge Graphs. WSDM 2024: 492-500 - Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane:
Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning. WSDM 2024: 443-451 - Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao:
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM 2024: 434-442 - Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu:
Knowledge Graph Context-Enhanced Diversified Recommendation. WSDM 2024: 462-471 - Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li:
Interact with the Explanations: Causal Debiased Explainable Recommendation System. WSDM 2024: 472-481 - Yaokun Liu, Xiaowang Zhang, Minghui Zou, Zhiyong Feng:
Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation. WSDM 2024: 482-491 - Xuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue:
An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis. WSDM 2024: 1074-1077