WWW / The Web Conference

Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset

Ryan Amos, Gunes Acar, Eli Lucherini, Mihir Kshirsagar, Arvind Narayanan, Jonathan Mayer

Comments 16 pages, 13 figures, public dataset

Journal ref In Proceedings of the Web Conference 2021 (WWW '21), April 19-23, 2021, Ljubljana, Slovenia. ACM, New York, NY, USA, 12 pages

Demonstration of Faceted Search on Scholarly Knowledge Graphs

Golsa Heidari, Ahmad Ramadan, Markus Stocker, Sören Auer

Comments 2 pages, 1 figure, WWW 2021 Demo. arXiv admin note: substantial text overlap with arXiv:2107.05447

HDMI: High-order Deep Multiplex Infomax

Baoyu Jing, Chanyoung Park, Hanghang Tong

Comments Accepted by WWW'2021 Updated section 3.1.1

Session-aware Linear Item-Item Models for Session-based Recommendation

Minjin Choi, jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee

Comments In Proceedings of the Web Conference 2021. 12 pages

TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration

Dongjin Choi, Sara Evensen, Çağatay Demiralp, Estevam Hruschka

Comments WWW'21 Demo

Discovering Mathematical Objects of Interest -- A Study of Mathematical Notations

Andre Greiner-Petter, Moritz Schubotz, Fabian Mueller, Corinna Breitinger, Howard S. Cohl, Akiko Aizawa, Bela Gipp

Comments Proceedings of The Web Conference 2020 (WWW'20), April 20--24, 2020, Taipei, Taiwan

Efficient Non-Sampling Knowledge Graph Embedding

Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang

Comments 10 pages, 3 figures. The first two authors contributed equally to the work. Accepted to WWW 2021

Fast Evaluation for Relevant Quantities of Opinion Dynamics

Wanyue Xu, Qi Bao, Zhongzhi Zhang

Journal ref Proceedings of The Web Conference 2021, pp.2037-2045

DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

Ruoxi Wang, Rakesh Shivanna, Derek Z. Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi

Journal ref In Proceedings of the Web Conference 2021 (WWW '21)

MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams

Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi

Comments The Web Conference (WWW), 2021

Bidirectional Distillation for Top-K Recommender System

Wonbin Kweon, SeongKu Kang, Hwanjo Yu

Comments WWW 2021

Auditing Source Diversity Bias in Video Search Results Using Virtual Agents

Aleksandra Urman, Mykola Makhortykh, Roberto Ulloa

Journal ref WWW '21: Companion Proceedings of the Web Conference 2021

PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer

Yiling Jia, Huazheng Wang, Stephen Guo, Hongning Wang

Comments The Web Conference 2021

Controllable Gradient Item Retrieval

Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He

Comments Accepted by The International World Wide Web Conference (WWW), 2021

OCT-GAN: Neural ODE-based Conditional Tabular GANs

Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park

Comments Accepted by WWW 2021

Hashing-Accelerated Graph Neural Networks for Link Prediction

Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl

Journal ref The Web Conference 2021

Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation

Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang

Comments 11 pages. Accepted by the Web Conference 2021 (WWW '21)

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism

Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Phillip S. Yu, Lifang He

Comments Accepted by The Web Conference (WWW) 2021

Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning

Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng

Comments WWW 19, 11 pages

RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search

Jianghong Zhou, Eugene Agichtein

Comments Proceedings of The Web Conference 2020 (WWW '20), April 20--24, 2020, Taipei, Taiwan

Journal ref WWW '20: Proceedings of The Web Conference 2020 April 2020 Pages 2842-2848

Self-supervised Graph Neural Networks without explicit negative sampling

Zekarias T. Kefato, Sarunas Girdzijauskas

Comments Accepted in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21)

Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach

Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff

Comments Published at WWW 2021

Network of Tensor Time Series

Baoyu Jing, Hanghang Tong, Yada Zhu

Comments Accepted by WWW'2021

Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution

Robert A. Barton, Tal Neiman, Changhe Yuan

Comments Presented at the Knowledge Management for E-Commerce Workshop at WWW'21

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs

Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy

Comments Accepted at the Web Conference 2021 (WWW '21)

RAQ: Relationship-Aware Graph Querying in Large Networks

Jithin Vachery, Akhil Arora, Sayan Ranu, Arnab Bhattacharya

Journal ref WWW 2019

Multimodal and Contrastive Learning for Click Fraud Detection

Weibin Li, Qiwei Zhong, Qingyang Zhao, Hongchun Zhang, Xiaonan Meng

Comments Accepted to DeMal@WWW 2021

One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework

Shahroz Tariq, Sangyup Lee, Simon S. Woo

Comments 14 pages, 8 Figures, 6 Tables, Accepted for publication in The Web Conference WWW 2021

ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models

Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum

Comments WWW 2021, 11 pages

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search

Jason Yue Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Tianqi Yang, Liangjie Zhang, Ruofei Zhang, Huasha Zhao

Comments Jason Yue Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Tianqi Yang, Liangjie Zhang, Ruofei Zhang, and Huasha Zhao. 2021. TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. In Proceedings of the Web Conference 2021 (WWW 21), April 19-23, 2021, Ljubljana, Slovenia. ACM, New York, NY, USA, 10 pages. https: //doi.org/10.1145/3442381.3449842