WWW / The Web Conference

Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems

Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou

Comments WWW 2024

Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data

Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu

Comments 4 pages, accepted by WWW 2024 Short Track

Hyperbolic Heterogeneous Graph Attention Networks

Jongmin Park, Seunghoon Han, Soohwan Jeong, Sungsu Lim

Comments Accepted in ACM THE WEB CONFERENCE 2024 short paper track

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

Comments This paper has been accepted by WWW'24

BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting

Yuqing Cheng, Bo Chen, Fanjin Zhang, Jie Tang

Comments TheWebConf 2024 (WWW '24)

Journal ref Proceedings of TheWebConf 2024 (WWW '24), May 13--17, 2024, Singapore

Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty

Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang

Comments 10 pages,6 figures, WWW 2024 Industry Track, with three accept, two weak accept scores

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

Journal ref Proceedings of the ACM Web Conference 2024 (WWW '24)

Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding

Haoming Li, Yusen Huo, Shuai Dou, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Jian Xu, Fan Wu

Comments Accepted by The Web Conference 2024 (WWW'24) as an oral paper

General2Specialized LLMs Translation for E-commerce

Kaidi Chen, Ben Chen, Dehong Gao, Huangyu Dai, Wen Jiang, Wei Ning, Shanqing Yu, Libin Yang, Xiaoyan Cai

Comments 4 pages, 1 figure, WWW2024 accepted

Dynamic Graph Information Bottleneck

Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li

Comments Accepted by the research tracks of The Web Conference 2024 (WWW 2024)

RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction

Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia

Comments Accepted to The ACM Web Conference 2024 (WWW'24, short paper). Data and code are available

Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks

Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong

Comments To appear in The Web Conference 2024 (WWW '24)

Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining

Jingyu Wang, Niantai Jing, Ziyao Liu, Jie Nie, Yuxin Qi, Chi-Hung Chi, Kwok-Yan Lam

Comments 4 pages, 2 figures, Accepted to WWW 2024

A Tale of Two Communities: Exploring Academic References on Stack Overflow

Run Huang, Souti Chattopadhyay

Comments Accepted for publication in The Web Conference (WWW) 2024, Short Paper Track

Can Small Language Models be Good Reasoners for Sequential Recommendation?

Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang

Comments Accepted by TheWebConf (WWW) 2024

Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs

Yuhan Wu, Yuanyuan Xu, Wenjie Zhang, Xiwei Xu, Ying Zhang

Comments 10 pages, 4 figures, accepted by WWW 2024

3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder

Haoxin Xu, Zezheng Zhao, Yuxin Cao, Chunyu Chen, Hao Ge, Ziyao Liu

Comments 4 pages, 3 figures. Accepted to WWW 2024

Optimizing Feature Set for Click-Through Rate Prediction

Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu

Comments Accepted by WWW 2023 Research Tracks

Assessing Web Fingerprinting Risk

Enrico Bacis, Igor Bilogrevic, Robert Busa-Fekete, Asanka Herath, Antonio Sartori, Umar Syed

Comments A version of this report to appear in the proceedings of The Web Conference (WWW) 2024. This version contains additional material in the appendix

NoteLLM: A Retrievable Large Language Model for Note Recommendation

Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Di Wu, Enhong Chen

Comments Published as a WWW'24 full paper

Causal Question Answering with Reinforcement Learning

Lukas Blübaum, Stefan Heindorf

Comments Accepted at WWW 2024

UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web

Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang

Comments Accepted by The Web Conference 2024

A Study of Vulnerability Repair in JavaScript Programs with Large Language Models

Tan Khang Le, Saba Alimadadi, Steven Y. Ko

Comments camera-ready version accepted to the short paper track at WWW'24

Tel2Veh: Fusion of Telecom Data and Vehicle Flow to Predict Camera-Free Traffic via a Spatio-Temporal Framework

ChungYi Lin, Shen-Lung Tung, Hung-Ting Su, Winston H. Hsu

Comments 4 pages, 5 figures, 4 tables. Accepted by WWW'24, to appear

Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai

Zhichao Feng, Junjiie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang

Comments 9 pages, accepted by WWW 2024 Industry Track

Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery

Yuxuan Yao, Sichun Luo, Haohan Zhao, Guanzhi Deng, Linqi Song

Comments Accepted by TheWebConf'24 (WWW'24) as a Resource Paper

Dynamic Contexts for Generating Suggestion Questions in RAG Based Conversational Systems

Anuja Tayal, Aman Tyagi

Comments 4 pages , 1 figure, accepted at WWW'24 workshop PromptEng

ConvSDG: Session Data Generation for Conversational Search

Fengran Mo, Bole Yi, Kelong Mao, Chen Qu, Kaiyu Huang, Jian-Yun Nie

Comments Accepted by WWW 2024 Workshop

Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation

Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim

Comments Accepted by WWW 2024

Can we Soft Prompt LLMs for Graph Learning Tasks?

Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla

Comments Accepted by The Web Conference (WWW) 2024 Short Paper Track