Long-term Off-Policy Evaluation and Learning
Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas
Poster
WWW 2024 Papers
ACM Web Conference
Decision breakdown
405papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Oral18946.7%
- Poster21653.3%
Browse all papers
TitleTypeTopic
Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework
Cheng Wu, Shaoyun Shi, Chaokun Wang, Ziyang Liu, Wang Peng, Wenjin Wu, Dongying kong, Han Li, Kun Gai
Poster
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua
Poster
(In)Security of File Uploads in Node.js
Harun Oz, Abbas Acar, AHMET ARIS, Güliz Seray Tuncay, Amin Kharraz, Selcuk Uluagac
Poster
Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale
Hua Ding, Lixing Chen, Shenghong Li, Yang Bai, Pan Zhou, Zhe Qu
Poster
PMG : Personalized Multimodal Response Generation with Large Language Models
Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, Xi Xiao
Poster
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation
Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin
Poster
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization
Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You
Poster
ContraMTD: An Unsupervised Malicious Network Traffic Detection Method based on Contrastive Learning
Xueying Han, Susu Cui, Qinjian, Song Liu, Bo Jiang, Cong Dong, Zhigang Lu, Baoxu Liu
Poster
Identifying Risky Vendors in Cryptocurrency P2P Marketplaces
Taro Tsuchiya, Alejandro Cuevas, Nicolas Christin
Poster
Characterizing Ethereum Upgradable Smart Contracts and Their Security Implications
Xiaofan Li, Jin Yang, Jiaqi Chen, Yuzhe Tang, Xing Gao
Poster
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
Poster
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions
Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, QIONGXU MA, Linxun Chen, Bing Han, Junchi Yan
Poster
Sublinear-Time Opinion Estimation in the Friedkin--Johnsen Model
Stefan Neumann, Yinhao Dong, Pan Peng
Poster
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
Poster
Accelerating the decentralized federated learning via manipulating edges
Mingyang Zhou, Gang Liu, Kezhong Lu, Rui Mao, Hao Liao
Poster
RicciNet: Deep Clustering via A Riemannian Generative Model
Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
Poster
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools
Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An
Poster
Invariant Graph Learning for Treatment Effect Estimation from Networked Observational Data
Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, JUN ZHOU, Xiang Wang
Poster
UniLP: Unified Topology-aware Generative Framework for Link Prediction in Knowledge Graph
Ben Liu, Miao Peng, Wenjie Xu, Xu Jia, Min Peng
Poster