WWW / The Web Conference

An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce

Nurendra Choudhary, Edward W Huang, Karthik Subbian, Chandan K. Reddy

Comments Accepted to The Web Conference 2024 (Industry)

Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph

Linfeng Cao, Haoran Deng, Yang Yang, Chunping Wang, Lei Chen

Comments 21 pages, 11 figures, In Proceedings of the ACM Web Conference 2024 (WWW'24)

Generative News Recommendation

Shen Gao, Jiabao Fang, Quan Tu, Zhitao Yao, Zhumin Chen, Pengjie Ren, Zhaochun Ren

Comments Accepted by WWW 2024

Uplift Modeling for Target User Attacks on Recommender Systems

Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua

Comments Accepted by WWW'24 as an oral paper

FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model

Xiangyu Li, Xinjie Shen, Yawen Zeng, Xiaofen Xing, Jin Xu

Comments Accepted by WWW 2024

COLA: Cross-city Mobility Transformer for Human Trajectory Simulation

Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song

Comments Accepted by WWW 2024

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation

Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He

Comments Accepted by WWW-2024

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation

Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He

Comments WWW 2024; 15 pages

Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random

Wonbin Kweon, Hwanjo Yu

Comments WWW 2024

Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization

Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You

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

DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning

Seungyoon Choi, Wonjoong Kim, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park

Comments Accepted at ACM TheWebConf 2024 (WWW 2024) (Oral presentation)

Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models

Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua

Comments WWW 2024

Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation

Bo Yan, Yang Cao, Haoyu Wang, Wenchuan Yang, Junping Du, Chuan Shi

Comments Accepted by WWW 2024

On the Feasibility of Simple Transformer for Dynamic Graph Modeling

Yuxia Wu, Yuan Fang, Lizi Liao

Comments accepted by WWW'24

Deep Rating Elicitation for New Users in Collaborative Filtering

Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu

Comments WWW 2020

Top-Personalized-K Recommendation

Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu

Comments WWW 2024

Exit Ripple Effects: Understanding the Disruption of Socialization Networks Following Employee Departures

David Gamba, Yulin Yu, Yuan Yuan, Grant Schoenebeck, Daniel M. Romero

Comments Published in proceedings of the ACM Web Conference 2024 (WWW '24), May 13--17, 2024, Singapore, Singapore

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions

Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang

Comments Accepted as a regular paper of WWW'24

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

Comments Accepted by WWW 2024

Faithful Temporal Question Answering over Heterogeneous Sources

Zhen Jia, Philipp Christmann, Gerhard Weikum

Comments Accepted at WWW 2024

LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection

Feiyi Chen, Zhen Qin, Yingying Zhang, Shuiguang Deng, Yi Xiao, Guansong Pang, Qingsong Wen

Comments Accepted by ACM Web Conference 2024 (WWW 24)

Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems

Riku Togashi, Kenshi Abe, Yuta Saito

Comments accepted at WWW2024

Fake Resume Attacks: Data Poisoning on Online Job Platforms

Michiharu Yamashita, Thanh Tran, Dongwon Lee

Comments Accepted at The Web Conference 2024 (WWW'24)

Dynamic Multi-Network Mining of Tensor Time Series

Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai

Comments Accepted by WWW 2024

Collaborative Large Language Model for Recommender Systems

Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li

Comments Accepted by WWW2024

Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning

Zheyuan Liu, Guangyao Dou, Yijun Tian, Chunhui Zhang, Eli Chien, Ziwei Zhu

Comments Accepted by The Web Conference (WWW) 2024

A Multifaceted Look at Starlink Performance

Nitinder Mohan, Andrew Ferguson, Hendrik Cech, Prakita Rayyan Renatin, Rohan Bose, Mahesh Marina, Jörg Ott

Comments Accepted in ACM Web Conference 2024 (WWW 24)

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

Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation

Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-seng Chua, Fei Wu

Comments 11 pages, 4 figures, accepted by WWW 2022

Linear-Time Graph Neural Networks for Scalable Recommendations

Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu

Comments 12 pages, 5 figures, accepted by The Web Conference 2024

General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout

An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang

Comments Accepted to WWW 2024