WWW / The Web Conference

Policy Gradients for Contextual Recommendations

Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He

Comments Accepted at WWW-2019

Disinformation Warfare: Understanding State-Sponsored Trolls on Twitter and Their Influence on the Web

Savvas Zannettou, Tristan Caulfield, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, Jeremy Blackburn

Comments A preliminary version of this paper appears in the 4th Workshop on The Fourth Workshop on Computational Methods in Online Misbehavior (CyberSafety 2019) -- WWW'19 Companion Proceedings. This is the full version

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang

Comments accepted at WWW 2019

DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets

Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji

Comments 7 pages, 4 figures, accepted by The Web Conf (WWW) 2019; final version

Open-world Learning and Application to Product Classification

Hu Xu, Bing Liu, Lei Shu, P. Yu

Comments accepted by The Web Conference (WWW 2019) Previous title: Learning to Accept New Classes without Training

Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale

Rajkarn Singh, Marco Fiore, Mahesh K. Marina, Alessandro Nordio, Alberto Tarable

Comments to be published in Proceedings of the 2019 World Wide Web Conference (WWW'19), May 13-17 2019, San Francisco, CA, USA. 11 pages, 11 figures, 2 tables

Global Vectors for Node Representations

Robin Brochier, Adrien Guille, Julien Velcin

Comments 2019 ACM World Wide Web Conference (WWW 19)

Learning to Generate Questions by Learning What not to Generate

Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu

Comments Accepted by WWW 2019

Domain-Constrained Advertising Keyword Generation

Hao Zhou, Minlie Huang, Yishun Mao, Changlei Zhu, Peng Shu, Xiaoyan Zhu

Comments Accepted in WWW 2019

Semantic Hilbert Space for Text Representation Learning

Benyou Wang, Qiuchi Li, Massimo Melucci, Dawei Song

Comments accepted in WWW 2019

Bootstrapping Domain-Specific Content Discovery on the Web

Kien Pham, Aécio Santos, Juliana Freire

Comments Accepted for publication in the Proceedings of the 2019 World Wide Web Conference (WWW'19). 11 pages, 8 figures

Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness

Yilun Zhou, Steven Schockaert, Julie A. Shah

Comments In Proceedings of the Web Conference (WWW) 2019

Compressing Gradient Optimizers via Count-Sketches

Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava

Comments Initially submitted to WWW 2019 (November 2018)

Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification

Huiru Xiao, Xin Liu, Yangqiu Song

Comments Aceepted by 2019 World Wide Web Conference (WWW19)

Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference

Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang

Comments Accepted by The Web Conference (WWW) 2019

Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss

Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke

Comments Will appear at The Web Conference 2019

The Matthew Effect in Computation Contests: High Difficulty May Lead to 51% Dominance

Yulong Zeng, Song Zuo

Comments WWW 2019

Entity Personalized Talent Search Models with Tree Interaction Features

Cagri Ozcaglar, Sahin Geyik, Brian Schmitz, Prakhar Sharma, Alex Shelkovnykov, Yiming Ma, Erik Buchanan

Comments This paper has been accepted for publication at ACM WWW 2019

Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations

Yuan Li, Benjamin I. P. Rubinstein, Trevor Cohn

Comments Accepted at the Web Conference/WWW 2019 (camera ready)

Trajectories of Blocked Community Members: Redemption, Recidivism and Departure

Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil

Comments To appear in Proceedings of the 2019 World Wide Web Conference (WWW '19), May 13-17, 2019, San Francisco, CA, USA. Code and data available as part of ConvoKit: convokit.cornell.edu

Learning Dual Retrieval Module for Semi-supervised Relation Extraction

Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren

Comments 10 pages, 2-page references. Accepted to The Web Conference 2019

No Place to Hide: Catching Fraudulent Entities in Tensors

Yikun Ban, Xin Liu, Yitao Duan, Xue Liu, Wei Xu

Comments Proceedings of the 2019 World Wide Web Conference (WWW '19), May 13--17, 2019, San Francisco, CA, USA

Towards Neural Mixture Recommender for Long Range Dependent User Sequences

Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi

Comments Accepted at WWW 2019

What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings

Ziqiang Cheng, Yang Yang, Chenhao Tan, Denny Cheng, Yueting Zhuang, Alex Cheng

Comments 11 pages, 10 figures, WWW'19 short paper

Current Flow Group Closeness Centrality for Complex Networks

Huan Li, Richard Peng, Liren Shan, Yuhao Yi, Zhongzhi Zhang

Comments 31 pages, 4 figures

Journal ref WWW'2019

The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks

Ruthwik R. Junuthula, Maysam Haghdan, Kevin S. Xu, Vijay K. Devabhaktuni

Comments To appear at The Web Conference 2019

Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks

Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Liang Wang

Comments 11 pages, accepted by the 2019 World Wide Web Conference (WWW-2019)

Collaborative Similarity Embedding for Recommender Systems

Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yi-Hsuan Yang

Comments The shorten version is accepted by WWW'19

Triple Trustworthiness Measurement for Knowledge Graph

Shengbin Jia, Yang Xiang, Xiaojun Chen

Comments This paper has been accepted by WWW 2019

SaGe: Web Preemption for Public SPARQL Query Services

Thomas Minier, Hala Skaf-Molli, Pascal Molli

Comments 11 pages, to be published in Proceedings of the 2019 World Wide Web Conference (WWW'19)

Journal ref Proceedings of the 2019 World Wide Web Conference (WWW'19)