WWW / The Web Conference

Latent User Intent Modeling for Sequential Recommenders

Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen

Comments The Web Conference 2023, Industry Track

Toward Open-domain Slot Filling via Self-supervised Co-training

Adib Mosharrof, Moghis Fereidouni, A. B. Siddique

Comments 10 pages, 6 tables, 2 figures, ACM Web Conference 2023 (WWW'23)

Debiased Contrastive Learning for Sequential Recommendation

Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin

Comments This paper is accepted by WWW'2023

Dynamically Expandable Graph Convolution for Streaming Recommendation

Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma

Comments 11 pages, 6 figures, published on The Web Conference 2023 (WWW 2023)

Improving Content Retrievability in Search with Controllable Query Generation

Gustavo Penha, Enrico Palumbo, Maryam Aziz, Alice Wang, Hugues Bouchard

Comments Accepted for publication in the International World Wide Web Conference 2023

Graph-less Collaborative Filtering

Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu

Comments Accepted by ACM WWW 2023

Automated Self-Supervised Learning for Recommendation

Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao

Comments Accepted by ACM The Web Conference, 2023

IMF: Interactive Multimodal Fusion Model for Link Prediction

Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing

Comments 9 pages, 7 figures, 4 tables, WWW'2023

Assessing Scientific Contributions in Data Sharing Spaces

Kacy Adams, Fernando Spadea, Conor Flynn, Oshani Seneviratne

Comments 3rd International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment co-located with The Web Conference 2023

CausIL: Causal Graph for Instance Level Microservice Data

Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini

Comments Accepted to the Proceedings of the ACM Web Conference 2023 (WWW '23)

CapEnrich: Enriching Caption Semantics for Web Images via Cross-modal Pre-trained Knowledge

Linli Yao, Weijing Chen, Qin Jin

Comments Accepted to WWW2023

SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation

Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li

Comments Accepted by The Web Conference 2022 (WWW 2022)

Journal ref The Web Conference 2022

Retrieving false claims on Twitter during the Russia-Ukraine conflict

Valerio La Gatta, Chiyu Wei, Luca Luceri, Francesco Pierri, Emilio Ferrara

Comments 7 pages, 2 figures, WWW23 Companion Proceedings

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu

Comments 12 pages,5 figures, accepted by WWW2023

WebSHAP: Towards Explaining Any Machine Learning Models Anywhere

Zijie J. Wang, Duen Horng Chau

Comments 5 pages, 4 figures. Accepted at the ACM Web Conference 2023 (WWW 2023). For a live demo, visit https://poloclub.github.io/webshap/. Code is open-source at https://github.com/poloclub/webshap

Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps

Ruoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal

Comments Accepted at the Web Conference 2023

CS-TGN: Community Search via Temporal Graph Neural Networks

Farnoosh Hashemi, Ali Behrouz, Milad Rezaei Hajidehi

Comments This is the author's version of the paper. Published in companion proceedings of the ACM Web Conference 2023 (WWW '23 Companion)

Enhancing Data Space Semantic Interoperability through Machine Learning: a Visionary Perspective

Zeyd Boukhers, Christoph Lange, Oya Beyan

Comments Accepted for publication @ The First International Workshop on Semantics in Dataspaces (In conjunction with The Web Conference - WWW 2023)

Online to Offline Crossover of White Supremacist Propaganda

Ahmad Diab, Bolor-Erdene Jagdagdorj, Lynnette Hui Xian Ng, Yu-Ru Lin, Michael Miller Yoder

Comments 9 pages, 6 figures, Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion), April 30-May 4, 2023, Austin, TX, USA

Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech

Fan Huang, Haewoon Kwak, Jisun An

Comments Accepted by The Web Conference Companion, 2023

Chain of Explanation: New Prompting Method to Generate Higher Quality Natural Language Explanation for Implicit Hate Speech

Fan Huang, Haewoon Kwak, Jisun An

Comments Accepted by The Web Conference Companion, 2023

Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization

Canwen Xu, Julian McAuley, Penghan Wang

Comments The Web Conference (WWW 2023) Demo

DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision

Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha

Comments Accepted and will be published at TheWebConf2023 (WWW2023)

Moral Narratives Around the Vaccination Debate on Facebook

Mariano Gastón Beiró, Jacopo D'Ignazi, Maria Florencia Prado, Victoria Perez Bustos, Kyriaki Kalimeri

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

MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters

Lin Tian, Xiuzhen Zhang, Jey Han Lau

Comments 11 pages, 2 figures, Accepted by the Web Conference 2023 (WWW 2023)

A Concept Knowledge Graph for User Next Intent Prediction at Alipay

Yacheng He, Qianghuai Jia, Lin Yuan, Ruopeng Li, Yixin Ou, Ningyu Zhang

Comments Accepted by WWW 2023 poster

From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer

Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen

Comments Accepted by WWW 2022 Poster

FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection

Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, Pengyuan Zhou

Comments Accepted by the ACM Web Conference 2023 (WWW'23)

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System

Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenghua Dong

Comments Accepted in WWW23

Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation

Bing He, Mustaque Ahamad, Srijan Kumar

Comments Published at: ACM Web Conference 2023 (WWW'23). Code and data at: https://github.com/claws-lab/MisinfoCorrect