WWW / The Web Conference

AutoMLP: Automated MLP for Sequential Recommendations

Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo

Comments Accepted by WWW'23

Longitudinal Assessment of Reference Quality on Wikipedia

Aitolkyn Baigutanova, Jaehyeon Myung, Diego Saez-Trumper, Ai-Jou Chou, Miriam Redi, Changwook Jung, Meeyoung Cha

Comments Published at the Web Conference 2023 (WWW '23)

Journal ref Proceedings of the ACM Web Conference 2023 (WWW '23), May 1-5, 2023, Austin, TX, USA. ACM

Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing

Tin Kuculo

Comments This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Companion Proceedings of the Web Conference 2022

Class Cardinality Comparison as a Fermi Problem

Shrestha Ghosh, Simon Razniewski, Gerhard Weikum

Comments Accepted to the Web Conference 2023

Believability and Harmfulness Shape the Virality of Misleading Social Media Posts

Chiara Drolsbach, Nicolas Pröllochs

Comments Accepted at WWW 23

Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer

Wen Zhang, Yushan Zhu, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song, Huajun Chen

Comments Work accepted by WWW2023

Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection

Soumyajit Gupta, Sooyong Lee, Maria De-Arteaga, Matthew Lease

Journal ref Proceedings of the Web Conference, WWW 2023

LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval

Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang

Comments 14 pages, 6 tables, 4 figures. WWW 2023

CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation

Congchi Yin, Piji Li, Zhaochun Ren

Comments 12 pages, to be published in The Web Conference 2023

OEKG: The Open Event Knowledge Graph

Simon Gottschalk, Endri Kacupaj, Sara Abdollahi, Diego Alves, Gabriel Amaral, Elisavet Koutsiana, Tin Kuculo, Daniela Major, Caio Mello, Gullal S. Cheema, Abdul Sittar, Swati, Golsa Tahmasebzadeh, Gaurish Thakkar

Comments The definitive version of this work was published in the Proceedings of the 2nd International Workshop on Cross-lingual Event-centric Open Analytics co-located with the 30th The Web Conference (WWW 2021)

Reweighting Clicks with Dwell Time in Recommendation

Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin

Comments 5 pages, accepted by WWW-2023 Companion

Journal ref WWW-2023 Companion

Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction

Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li

Comments WWW'23

Linking Streets in OpenStreetMap to Persons in Wikidata

Daria Gurtovoy, Simon Gottschalk

Comments The definitive Version of Record was published in Companion Proceedings of the Web Conference 2022 (WWW '22 Companion), April 25-29, 2022, Virtual Event, Lyon, France

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks

Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang

Comments WWW23 research track

Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning

Xiangrong Zhu, Guangyao Li, Wei Hu

Comments Accepted in the ACM Web Conference (WWW 2023)

Models of fairness in federated learning

Kate Donahue, Jon Kleinberg

Comments Preliminary version accepted for oral presentation at Neurips workshop on Learning in Presence of Strategic Behavior (2021) and EAAMO (2022). Final version accepted at The Web Conference (2023)

Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs

Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan

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

Homophily-oriented Heterogeneous Graph Rewiring

Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang

Comments Accepted by WWW 2023

Interval-censored Transformer Hawkes: Detecting Information Operations using the Reaction of Social Systems

Quyu Kong, Pio Calderon, Rohit Ram, Olga Boichak, Marian-Andrei Rizoiu

Journal ref Proceedings of the ACM Web Conference 2023 (WWW '23), May 1--5, 2023, Austin, TX, USA

CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization

Zheheng Luo, Qianqian Xie, Sophia Ananiadou

Comments accepted to WWW2023

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks

Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu

Comments Accepted by WWW-23

Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace

Yunzhong He, Yuxin Tian, Mengjiao Wang, Feier Chen, Licheng Yu, Maolong Tang, Congcong Chen, Ning Zhang, Bin Kuang, Arul Prakash

Comments Accepted by WWW'2023

Sedition Hunters: A Quantitative Study of the Crowdsourced Investigation into the 2021 U.S. Capitol Attack

Tianjiao Yu, Sukrit Venkatagiri, Ismini Lourentzou, Kurt Luther

Comments This work is accepted by The ACM WebConf (WWW 2023)

Learning to Simulate Daily Activities via Modeling Dynamic Human Needs

Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li

Comments Accepted by WWW 2023

HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace

Yunzhong He, Cong Zhang, Ruoyan Kong, Chaitanya Kulkarni, Qing Liu, Ashish Gandhe, Amit Nithianandan, Arul Prakash

Comments Accepted by WWW'2023

Contrastive Collaborative Filtering for Cold-Start Item Recommendation

Zhihui Zhou, Lilin Zhang, Ning Yang

Comments This paper has been accepted by WWW '23

Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems

Heesoo Jung, Sangpil Kim, Hogun Park

Comments Accepted by the Web Conference 2023

Improving Recommendation Fairness via Data Augmentation

Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang

Comments The paper is accepted by WWW 2023

Hashtag-Guided Low-Resource Tweet Classification

Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang

Comments WWW 2023

Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform

Akash V. Maharaj, Ritwik Sinha, David Arbour, Ian Waudby-Smith, Simon Z. Liu, Moumita Sinha, Raghavendra Addanki, Aaditya Ramdas, Manas Garg, Viswanathan Swaminathan

Comments 15 pages, 12 figures. Expanded version of ACM Web Conference Proceedings paper

Journal ref Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion)