WWW / The Web Conference

Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models

Haonan Shi, Tu Ouyang, An Wang

Comments Accepted to WWW 2025

GNNShap: Scalable and Accurate GNN Explanation using Shapley Values

Selahattin Akkas, Ariful Azad

Journal ref Proceedings of the ACM Web Conference 2024 (WWW '24), May 13-17, 2024, Singapore, Singapore, pp. 827-838

A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings

Yuhe Bai

Comments Accepted at WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023

Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models

Benjamin Laufer, Jon Kleinberg, Hoda Heidari

Comments 43 pages, short version appeared at WWW 2024

LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty

Zhen Zhang, Yuhua Zhao, Hang Gao, Mengting Hu

Comments Accepted by WebConf (WWW'2024), compared to the previous version, the code has been released

Catalysts of Conversation: Examining Interaction Dynamics Between Topic Initiators and Commentors in Alzheimer's Disease Online Communities

Congning Ni, Qingxia Chen, Lijun Song, Patricia Commiskey, Qingyuan Song, Bradley A. Malin, Zhijun Yin

Comments 14 pages, 11 figures (6 in main text and 5 in the appendix). The paper includes statistical analyses, structural topic modeling, and predictive modeling to examine user engagement dynamics in Alzheimers Disease online communities. Submitted for consideration to The Web Conference 2025

A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions

Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang

Comments A technical tutorial will appear at The Web Conference 2025

Representation Learning with Large Language Models for Recommendation

Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang

Comments Published as a WWW'24 full paper

Efficient user history modeling with amortized inference for deep learning recommendation models

Lars Hertel, Neil Daftary, Fedor Borisyuk, Aman Gupta, Rahul Mazumder

Comments 5 pages, 3 figures, WWW 2025

Rethink Deep Learning with Invariance in Data Representation

Shuren Qi, Fei Wang, Tieyong Zeng, Fenglei Fan

Comments Accepted by WWW 2025 for a tutorial

Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model

Xi Cao, Nuo Qun, Quzong Gesang, Yulei Zhu, Trashi Nyima

Comments Revised Version; Accepted at WWW 2024 Workshop on SocialNLP

Journal ref Companion Proceedings of the ACM Web Conference 2024

Intelligent Model Update Strategy for Sequential Recommendation

Zheqi Lv, Wenqiao Zhang, Zhengyu Chen, Shengyu Zhang, Kun Kuang

Comments Published on WWW'24(Oral): Proceedings of the ACM on Web Conference 2024 (pp. 3117-3128)

DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization

Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu

Comments Published on WWW'23: Proceedings of the ACM on Web Conference 2023 (pp. 3077 - 3085)

Navigating the Post-API Dilemma | Search Engine Results Pages Present a Biased View of Social Media Data

Amrit Poudel, Tim Weninger

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

Scalable Methods for Adaptively Seeding a Social Network

Thibaut Horel, Yaron Singer

Comments Full version of the paper appearing in WWW 2015

Journal ref Proceedings of the 24th International Conference on World Wide Web, 2015, pp. 441-451

Explicit and Implicit Semantic Ranking Framework

Xiaofeng Zhu, Thomas Lin, Vishal Anand, Matthew Calderwood, Eric Clausen-Brown, Gord Lueck, Wen-wai Yim, Cheng Wu

Journal ref Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion), April 30-May 4, 2023, Austin, TX, USA

Co-clustering for Federated Recommender System

Xinrui He, Shuo Liu, Jackey Keung, Jingrui He

Comments WWW '24: Proceedings of the ACM Web Conference 2024

Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework

Xiao Han, Chen Zhu, Xiangyu Zhao, Hengshu Zhu

Comments resubmit to www2025

Fusion Matrix Prompt Enhanced Self-Attention Spatial-Temporal Interactive Traffic Forecasting Framework

Mu Liu, MingChen Sun YingJi Li, Ying Wang

Comments THE WEB CONFERENCE 2025

QUIC is not Quick Enough over Fast Internet

Xumiao Zhang, Shuowei Jin, Yi He, Ahmad Hassan, Z. Morley Mao, Feng Qian, Zhi-Li Zhang

Comments 10 pages, 16 figures

Journal ref Proceedings of the ACM Web Conference 2024 (WWW '24), Pages 2713-2722

Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice

Tanner Fiez, Houssam Nassif, Yu-Cheng Chen, Sergio Gamez, Lalit Jain

Journal ref The Web Conference (WWW'24), Singapore, pp. 3586 - 3597, 2024

Measuring CDNs susceptible to Domain Fronting

Karthika Subramani, Roberto Perdisci, Pierros Skafidas

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

MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs

Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang

Comments WWW2024 research track

Bridging or Breaking: Impact of Intergroup Interactions on Religious Polarization

Rochana Chaturvedi, Sugat Chaturvedi, Elena Zheleva

Journal ref In Proceedings of the ACM Web Conference 2024 (WWW '24), May 13-17, 2024, Singapore, Singapore. ACM, New York, NY, USA, 12 pages

Mitigating Pooling Bias in E-commerce Search via False Negative Estimation

Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma

Comments Submitted to WWW'24 Industry Track

Graph Out-of-Distribution Generalization via Causal Intervention

Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan

Comments Accepted by the research paper track of The Web Conference (WWW) 2024. The codes are available at https://github.com/fannie1208/CaNet

A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce

Chunyuan Yuan, Ming Pang, Zheng Fang, Xue Jiang, Changping Peng, Zhangang Lin

Comments Accepted by WWW2024

MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection

Yupeng Li, Haorui He, Jin Bai, Dacheng Wen

Comments Accepted by the ACM Web Conference 2024 (WWW 2024) oral, dataset available: https://github.com/TrustworthyComp

GPT Assisted Annotation of Rhetorical and Linguistic Features for Interpretable Propaganda Technique Detection in News Text

Kyle Hamilton, Luca Longo, Bojan Bozic

Journal ref WWW '24: Companion Proceedings of the ACM on Web Conference 2024 May 2024 Pages 1431 - 1440

Universal Knowledge Graph Embeddings

N'Dah Jean Kouagou, Caglar Demir, Hamada M. Zahera, Adrian Wilke, Stefan Heindorf, Jiayi Li, Axel-Cyrille Ngonga Ngomo

Comments 5 pages, 3 tables

Journal ref Companion Proceedings of the ACM Web Conference 2024 (WWW '24 Companion), May 13--17, 2024, Singapore, Singapore