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ORCID32nd WWW 2023: Austin, TX, USA
- Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, Geert-Jan Houben:
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. ACM 2023, ISBN 978-1-4503-9416-1
Keynotes
- Barbara Poblete
:
Using diversity as a source of scientific innovation for the Web. 1 - Payal Arora:
Decolonizing Creative Labor in the age of AI. 2 - Zachary Elkins:
Concept Regulation in the Social Sciences. 3 - Michalis Vazirgiannis:
GNNs and Graph Generative models for biomedical applications. 4 - Robert Melancton Metcalfe:
Connectivity. 5
Social Network Analysis and Graph Algorithms
- Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim:
GELTOR: A Graph Embedding Method based on Listwise Learning to Rank. 6-16 - Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu:
Graph-less Collaborative Filtering. 17-27 - Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang:
Fair Graph Representation Learning via Diverse Mixture-of-Experts. 28-38 - Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang:
Multi-Aspect Heterogeneous Graph Augmentation. 39-48 - Florian Adriaens, Simon Apers:
Testing Cluster Properties of Signed Graphs. 49-59 - Zeyu Zhang, Jiamou Liu, Xianda Zheng, Yifei Wang, Pengqian Han, Yupan Wang, Kaiqi Zhao, Zijian Zhang:
RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks. 60-70 - Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin:
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors. 71-81 - Hao Huang, Keqi Han, Beicheng Xu, Ting Gan:
Multi-aspect Diffusion Network Inference. 82-90 - Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr:
Collaboration-Aware Graph Convolutional Network for Recommender Systems. 91-101 - Chao Gao, Yuchen Wang, Zhen Wang, Xianghua Li, Xuelong Li:
Pairwise-interactions-based Bayesian Inference of Network Structure from Information Cascades. 102-110 - Jiazheng Zhang, Bang Wang:
Encoding Node Diffusion Competence and Role Significance for Network Dismantling. 111-121 - Zhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li:
Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network. 122-132 - Xiaotian Zhou, Zhongzhi Zhang:
Opinion Maximization in Social Networks via Leader Selection. 133-142 - Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao:
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. 143-153 - Dong Chen, Xiang Zhao, Wei Wang, Zhen Tan, Weidong Xiao:
Graph Self-supervised Learning with Augmentation-aware Contrastive Learning. 154-164 - Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu:
Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. 165-176 - Liangtian Wan, Xiaona Li, Huijin Han, Xiaoran Yan, Lu Sun, Zhaolong Ning, Feng Xia:
Unifying and Improving Graph Convolutional Neural Networks with Wavelet Denoising Filters. 177-187 - Chenxu Wang, Xin Wang, Zhao Li, Zirui Chen, Jianxin Li:
HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks. 188-198 - Ke Zhang, Xiaoqing Wang, Gong Cheng:
Efficient Approximation Algorithms for the Diameter-Bounded Max-Coverage Group Steiner Tree Problem. 199-209 - Felix I. Stamm, Michael Scholkemper, Michael T. Schaub, Markus Strohmaier:
Neighborhood Structure Configuration Models. 210-220 - Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang:
CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. 221-230 - Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim:
Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding. 231-239 - Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu:
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. 240-250 - Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu:
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. 251-262 - Trung-Kien Nguyen, Zemin Liu, Yuan Fang:
Link Prediction on Latent Heterogeneous Graphs. 263-273 - Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng:
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. 274-285 - Zhen Wang, Dongpeng Hou, Chao Gao, Xiaoyu Li, Xuelong Li:
Lightweight source localization for large-scale social networks. 286-294 - Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu:
Automated Spatio-Temporal Graph Contrastive Learning. 295-305 - Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang:
Graph Neural Networks with Diverse Spectral Filtering. 306-316 - Hyunju Kim, Jihoon Ko, Fanchen Bu, Kijung Shin:
Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes. 317-327 - Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang:
Robust Mid-Pass Filtering Graph Convolutional Networks. 328-338 - Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin:
Semi-decentralized Federated Ego Graph Learning for Recommendation. 339-348 - Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin:
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. 349-359 - Junda Ye, Zhongbao Zhang, Li Sun, Yang Yan, Feiyang Wang, Fuxin Ren:
SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds. 360-371 - Zhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong:
PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. 372-382 - Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan:
Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. 383-394 - Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou:
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. 395-405 - Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo:
Label Information Enhanced Fraud Detection against Low Homophily in Graphs. 406-416 - Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang:
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. 417-428 - Guozhen Zhang, Tian Ye, Depeng Jin, Yong Li:
An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction. 429-437 - Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang:
Robust Graph Representation Learning for Local Corruption Recovery. 438-448 - Zhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng, Yang Yao:
Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation. 449-459 - Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li:
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. 460-468 - Liang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo:
Graph Neural Networks without Propagation. 469-477 - Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu:
TIGER: Temporal Interaction Graph Embedding with Restarts. 478-488 - Liangtian Wan, Zhenqiang Fu, Lu Sun, Xianpeng Wang, Gang Xu, Xiaoran Yan, Feng Xia:
Self-Supervised Teaching and Learning of Representations on Graphs. 489-498 - Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu:
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. 499-510 - Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang:
Homophily-oriented Heterogeneous Graph Rewiring. 511-522 - Qijie Bai, Changli Nie, Haiwei Zhang, Dongming Zhao, Xiaojie Yuan:
HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction. 523-532 - Xiaojun Ma, Qin Chen, Yi Wu, Guojie Song, Liang Wang, Bo Zheng:
Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task. 533-544 - Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen:
CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion. 545-555 - Han Xie, Li Xiong, Carl Yang:
Federated Node Classification over Graphs with Latent Link-type Heterogeneity. 556-566 - Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li:
Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs. 567-577 - Ylli Sadikaj, Justus Rass, Yllka Velaj, Claudia Plant:
Semi-Supervised Embedding of Attributed Multiplex Networks. 578-587 - Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao:
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. 588-598 - Qiheng Mao, Zemin Liu, Chenghao Liu, Jianling Sun:
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. 599-610 - Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan:
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. 611-620 - Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu:
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. 621-629 - Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du:
Minimum Topology Attacks for Graph Neural Networks. 630-640 - Riting Xia, Yan Zhang, Chunxu Zhang, Xueyan Liu, Bo Yang:
Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks. 641-650 - Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He:
GIF: A General Graph Unlearning Strategy via Influence Function. 651-661 - Fabian Spaeh, Charalampos E. Tsourakakis:
Learning Mixtures of Markov Chains with Quality Guarantees. 662-672 - Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi, Chaochao Chen, Longbiao Chen:
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging. 673-683 - Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan:
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. 684-693 - Nate Veldt:
Cut-matching Games for Generalized Hypergraph Ratio Cuts. 694-704 - Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang:
Toward Degree Bias in Embedding-Based Knowledge Graph Completion. 705-715 - Chao Pan, Eli Chien, Olgica Milenkovic:
Unlearning Graph Classifiers with Limited Data Resources. 716-726 - Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu:
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. 727-736 - Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang:
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. 737-746 - Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: A Comprehensive Library for Graph Deep Learning. 747-758 - Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang:
ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. 759-769
User Modeling and Personalization
- Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee:
Enhancing User Personalization in Conversational Recommenders. 770-778 - Ruitao Zhu, Detao Lv, Yao Yu, Ruihao Zhu, Zhenzhe Zheng, Ke Bu, Quan Lu, Fan Wu:
LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation. 779-789 - Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang:
Multi-Modal Self-Supervised Learning for Recommendation. 790-800 - SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu:
Distillation from Heterogeneous Models for Top-K Recommendation. 801-811 - Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He:
On the Theories Behind Hard Negative Sampling for Recommendation. 812-822 - Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation. 823-832 - Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang:
Exploration and Regularization of the Latent Action Space in Recommendation. 833-844 - Xin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang:
Bootstrap Latent Representations for Multi-modal Recommendation. 845-854 - Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li:
Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer. 855-864 - Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai:
Two-Stage Constrained Actor-Critic for Short Video Recommendation. 865-875 - Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang:
Recommendation with Causality enhanced Natural Language Explanations. 876-886 - Chuang Zhao, Hongke Zhao, Ming He, Jian Zhang, Jianping Fan:
Cross-domain recommendation via user interest alignment. 887-896 - Zhenlei Wang, Xu Chen:
Robust Recommendation with Adversarial Gaussian Data Augmentation. 897-905 - Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li:
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. 906-916 - Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li:
Dual-interest Factorization-heads Attention for Sequential Recommendation. 917-927 - Zhihui Zhou, Lilin Zhang, Ning Yang:
Contrastive Collaborative Filtering for Cold-Start Item Recommendation. 928-937 - Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang:
Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. 938-948 - Yue Cui, Chen Ma, Kai Zheng, Lei Chen, Xiaofang Zhou:
Controllable Universal Fair Representation Learning. 949-959 - Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang:
Compressed Interaction Graph based Framework for Multi-behavior Recommendation. 960-970 - Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin:
A Counterfactual Collaborative Session-based Recommender System. 971-982 - Zixuan Xu, Penghui Wei, Shaoguo Liu, Weimin Zhang, Liang Wang, Bo Zheng:
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. 983-991 - Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao:
Automated Self-Supervised Learning for Recommendation. 992-1002 - Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang:
AutoDenoise: Automatic Data Instance Denoising for Recommendations. 1003-1011 - Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. 1012-1020 - Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao:
ColdNAS: Search to Modulate for User Cold-Start Recommendation. 1021-1031 - Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen:
AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. 1032-1042 - Lingfeng Shi, Yuang Liu, Jun Wang, Wei Zhang:
Quantize Sequential Recommenders Without Private Data. 1043-1052 - Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin:
Interaction-level Membership Inference Attack Against Federated Recommender Systems. 1053-1062 - Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin:
Debiased Contrastive Learning for Sequential Recommendation. 1063-1073 - Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou:
Clustered Embedding Learning for Recommender Systems. 1074-1084 - Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He:
Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. 1085-1096 - Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li:
Robust Preference-Guided Denoising for Graph based Social Recommendation. 1097-1108 - Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu:
MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations. 1109-1117 - Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty:
Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling. 1118-1129 - Taicheng Guo, Lu Yu, Basem Shihada, Xiangliang Zhang:
Few-shot News Recommendation via Cross-lingual Transfer. 1130-1140 - Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin:
User Retention-oriented Recommendation with Decision Transformer. 1141-1149 - Xu Huang, Defu Lian, Jin Chen, Liu Zheng, Xing Xie, Enhong Chen:
Cooperative Retriever and Ranker in Deep Recommenders. 1150-1161 - Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao:
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. 1162-1171 - Tangwei Ye, Liang Hu, Qi Zhang, Zhong Yuan Lai, Usman Naseem, Dora D. Liu:
Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System. 1172-1180 - Zhiyong Cheng, Sai Han, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng:
Multi-Behavior Recommendation with Cascading Graph Convolution Networks. 1181-1189 - Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo:
AutoMLP: Automated MLP for Sequential Recommendations. 1190-1198 - Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. 1199-1207 - Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen:
Membership Inference Attacks Against Sequential Recommender Systems. 1208-1219 - Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui:
Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. 1220-1230 - Kaiyuan Li, Pengfei Wang, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang, Shangguang Wang:
Communicative MARL-based Relevance Discerning Network for Repetition-Aware Recommendation. 1231-1239 - An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua:
Invariant Collaborative Filtering to Popularity Distribution Shift. 1240-1251 - Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. 1252-1263 - Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Personalized Graph Signal Processing for Collaborative Filtering. 1264-1272 - Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai:
Multi-Task Recommendations with Reinforcement Learning. 1273-1282 - Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren:
A Self-Correcting Sequential Recommender. 1283-1293 - Hong Chen, Xin Wang, Ruobing Xie, Yuwei Zhou, Wenwu Zhu:
Cross-domain Recommendation with Behavioral Importance Perception. 1294-1304 - Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu:
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. 1305-1313 - Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, Pengyuan Zhou:
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection. 1314-1323 - Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang:
Code Recommendation for Open Source Software Developers. 1324-1333 - Christopher Tensmeyer, Zoya Bylinskii, Tianyuan Cai, Dave Miller, Ani Nenkova, Aleena Gertrudes Niklaus, Shaun Wallace:
Web Table Formatting Affects Readability on Mobile Devices. 1334-1344 - Alexander Hambley, Yeliz Yesilada, Markel Vigo, Simon Harper:
Web Structure Derived Clustering for Optimised Web Accessibility Evaluation. 1345-1354 - Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li:
Denoising and Prompt-Tuning for Multi-Behavior Recommendation. 1355-1363 - Tao Guo, Song Guo, Junxiao Wang:
pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning. 1364-1374 - Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. 1375-1385 - Heeseon Kim, Hyeongjun Yang, Kyong-Ho Lee:
Confident Action Decision via Hierarchical Policy Learning for Conversational Recommendation. 1386-1395 - Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng:
CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. 1396-1404
Web Mining and Content Analysis
- Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao:
Word Sense Disambiguation by Refining Target Word Embedding. 1405-1414 - Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang:
Hashtag-Guided Low-Resource Tweet Classification. 1415-1426 - Mingyang Song, Yi Feng, Liping Jing:
HISum: Hyperbolic Interaction Model for Extractive Multi-Document Summarization. 1427-1436 - Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen:
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. 1437-1445 - Marija Sakota, Maxime Peyrard, Robert West:
Descartes: Generating Short Descriptions of Wikipedia Articles. 1446-1456 - Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma:
Dynamically Expandable Graph Convolution for Streaming Recommendation. 1457-1467 - Yuting Yang, Wenqiang Lei, Pei Huang, Juan Cao, Jintao Li, Tat-Seng Chua:
A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking. 1468-1477 - Heesoo Jung, Sangpil Kim, Hogun Park:
Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems. 1478-1488 - Miaomiao Li, Jiaqi Zhu, Xin Yang, Yi Yang, Qiang Gao, Hongan Wang:
CL-WSTC: Continual Learning for Weakly Supervised Text Classification on the Internet. 1489-1499 - Yingjie Li, Chenye Zhao, Cornelia Caragea:
TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance Detection. 1500-1509 - Shiping Ge, Zhiwei Jiang, Zifeng Cheng, Cong Wang, Yafeng Yin, Qing Gu:
Learning Robust Multi-Modal Representation for Multi-Label Emotion Recognition via Adversarial Masking and Perturbation. 1510-1518 - Xin Wang, Yue Liu, Jiapei Fan, Weigao Wen, Hui Xue, Wenwu Zhu:
Continual Few-shot Learning with Transformer Adaptation and Knowledge Regularization. 1519-1527 - Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang:
Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum. 1528-1538 - Congchi Yin, Piji Li, Zhaochun Ren:
CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation. 1539-1550 - Qin Hua, Dingyu Yang, Shiyou Qian, Hanwen Hu, Jian Cao, Guangtao Xue:
KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices. 1551-1561 - Shengsheng Qian, Hong Chen, Dizhan Xue, Quan Fang, Changsheng Xu:
Open-World Social Event Classification. 1562-1571 - Yun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim:
KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction. 1572-1583 - Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang:
Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. 1584-1593 - Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu:
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. 1594-1603 - Rongjunchen Zhang, Tingmin Wu, Xiao Chen, Sheng Wen, Surya Nepal, Cécile Paris, Yang Xiang:
Dynalogue: A Transformer-Based Dialogue System with Dynamic Attention. 1604-1615 - Ryoma Sato:
Active Learning from the Web. 1616-1625 - Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. 1626-1637 - Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai:
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams. 1638-1649 - Susik Yoon, Hou Pong Chan, Jiawei Han:
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. 1650-1661 - Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Mike Bendersky, Marc Najork:
"Why is this misleading?": Detecting News Headline Hallucinations with Explanations. 1662-1672 - Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He:
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. 1673-1682 - Zhenyu Zhang, Bowen Yu, Tingwen Liu, Tianyun Liu, Yubin Wang, Li Guo:
Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings. 1683-1692 - Jinpeng Li, Yingce Xia, Xin Cheng, Dongyan Zhao, Rui Yan:
Learning Disentangled Representation via Domain Adaptation for Dialogue Summarization. 1693-1702 - Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma:
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. 1703-1713 - Xianbing Zhao, Yixin Chen, Sicen Liu, Xuan Zang, Yang Xiang, Buzhou Tang:
TMMDA: A New Token Mixup Multimodal Data Augmentation for Multimodal Sentiment Analysis. 1714-1722 - Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao:
Node-wise Diffusion for Scalable Graph Learning. 1723-1733 - Yimeng Qiao, Yinan Jing, Hanbing Zhang, Zhenying He, Kai Zhang, X. Sean Wang:
BlinkViz: Fast and Scalable Approximate Visualization on Very Large Datasets using Neural-Enhanced Mixed Sum-Product Networks. 1734-1742 - Lin Tian, Xiuzhen Zhang, Jey Han Lau:
MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters. 1743-1753 - Xiaobing Pang, Yequan Wang, Siqi Fan, Lisi Chen, Shuo Shang, Peng Han:
EmpMFF: A Multi-factor Sequence Fusion Framework for Empathetic Response Generation. 1754-1764 - He Wei, Yuekui Yang, Haiyang Wu, Yangyang Tang, Meixi Liu, Jianfeng Li:
Automatic Feature Selection By One-Shot Neural Architecture Search In Recommendation Systems. 1765-1772 - Shweta Yadav, Stefan Cobeli, Cornelia Caragea:
Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive Learning. 1773-1783 - Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu:
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. 1784-1792 - Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai:
Modeling Dynamic Interactions over Tensor Streams. 1793-1803 - Koby Bibas, Oren Sar Shalom, Dietmar Jannach:
Semi-supervised Adversarial Learning for Complementary Item Recommendation. 1804-1812 - Quyu Kong, Pio Calderon, Rohit Ram, Olga Boichak, Marian-Andrei Rizoiu:
Interval-censored Transformer Hawkes: Detecting Information Operations using the Reaction of Social Systems. 1813-1821 - Shuang Cui, Kai Han, Jing Tang, He Huang:
Constrained Subset Selection from Data Streams for Profit Maximization. 1822-1831 - Mi Zhang, Tieyun Qian, Ting Zhang, Xin Miao:
Towards Model Robustness: Generating Contextual Counterfactuals for Entities in Relation Extraction. 1832-1842 - Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization. 1843-1852 - Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han:
SCStory: Self-supervised and Continual Online Story Discovery. 1853-1864 - Wenrui Zuo, Aravindh Raman, Raul J. Mondragón, Gareth Tyson:
Set in Stone: Analysis of an Immutable Web3 Social Media Platform. 1865-1874 - Davide Costa, Lucio La Cava, Andrea Tagarelli:
Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction. 1875-1885 - Guoshan Lu, Haobo Wang, Saisai Yang, Jing Yuan, Guozheng Yang, Cheng Zang, Gang Chen, Junbo Zhao:
Catch: Collaborative Feature Set Search for Automated Feature Engineering. 1886-1896 - Miao-Hui Song, Lan Zhang, Mu Yuan, Zichong Li, Qi Song, Yijun Liu, Guidong Zheng:
CoTel: Ontology-Neural Co-Enhanced Text Labeling. 1897-1906 - Tuan-Phong Nguyen, Simon Razniewski, Aparna S. Varde, Gerhard Weikum:
Extracting Cultural Commonsense Knowledge at Scale. 1907-1917 - Zhiying Wu, Jieli Liu, Jiajing Wu, Zibin Zheng, Xiapu Luo, Ting Chen:
Know Your Transactions: Real-time and Generic Transaction Semantic Representation on Blockchain & Web3 Ecosystem. 1918-1927 - Adib Mosharrof, Moghis Fereidouni, A. B. Siddique:
Toward Open-domain Slot Filling via Self-supervised Co-training. 1928-1937 - Zhiliang Tian, Zheng Xie, Fuqiang Lin, Yiping Song:
A Multi-view Meta-learning Approach for Multi-modal Response Generation. 1938-1947 - Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han:
Unsupervised Event Chain Mining from Multiple Documents. 1948-1959 - Liming Wang, Hong Xie, Ye Li, Jian Tan, John C. S. Lui:
Interactive Log Parsing via Light-weight User Feedback. 1960-1968
Security, Privacy & Trust
- Sadia Nourin, Van Tran, Xi Jiang, Kevin Bock, Nick Feamster, Nguyen Phong Hoang, Dave Levin:
Measuring and Evading Turkmenistan's Internet Censorship: A Case Study in Large-Scale Measurements of a Low-Penetration Country. 1969-1979 - Yunpeng Liu, Kexin Li, Zhuotao Liu, Bihan Wen, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Qi Li:
Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification. 1980-1990 - Guodong Huang, Chuan Ma, Ming Ding, Yuwen Qian, Chunpeng Ge, Liming Fang, Zhe Liu:
Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic. 1991-1999 - Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng:
MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. 2000-2010 - Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu:
Curriculum Graph Poisoning. 2011-2021 - Zhipeng Wang, Stefanos Chaliasos, Kaihua Qin, Liyi Zhou, Lifeng Gao, Pascal Berrang, Benjamin Livshits, Arthur Gervais:
On How Zero-Knowledge Proof Blockchain Mixers Improve, and Worsen User Privacy. 2022-2032 - Zhongjie Ba, Qing Wen, Peng Cheng, Yuwei Wang, Feng Lin, Li Lu, Zhenguang Liu:
Transferring Audio Deepfake Detection Capability across Languages. 2033-2044 - Xueluan Gong, Ziyao Wang, Yanjiao Chen, Qian Wang, Cong Wang, Chao Shen:
NetGuard: Protecting Commercial Web APIs from Model Inversion Attacks using GAN-generated Fake Samples. 2045-2053 - Feng Qian, Sifeng He, Honghao Huang, Huanyu Ma, Xiaobo Zhang, Lei Yang:
Web Photo Source Identification based on Neural Enhanced Camera Fingerprint. 2054-2065 - Haozhen Zhang, Le Yu, Xi Xiao, Qing Li, Francesco Mercaldo, Xiapu Luo, Qixu Liu:
TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification. 2066-2075 - Xinrui Zhang, Rujia Li, Qin Wang, Qi Wang, Sisi Duan:
Time-manipulation Attack: Breaking Fairness against Proof of Authority Aura. 2076-2086 - Ye Dong, Xiaojun Chen, Weizhan Jing, Kaiyun Li, Weiping Wang:
Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs. 2087-2098 - Ziwei Wang, Jiashi Gao, Xuetao Wei:
Do NFTs' Owners Really Possess their Assets? A First Look at the NFT-to-Asset Connection Fragility. 2099-2109 - Xinyue Wang, Hafiz Salman Asif, Jaideep Vaidya:
Preserving Missing Data Distribution in Synthetic Data. 2110-2121 - Yupeng Yin, Xianglong Zhang, Huanle Zhang, Feng Li, Yue Yu, Xiuzhen Cheng, Pengfei Hu:
Ginver: Generative Model Inversion Attacks Against Collaborative Inference. 2122-2131 - Paschalis Bekos, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
The Hitchhiker's Guide to Facebook Web Tracking with Invisible Pixels and Click IDs. 2132-2143 - Rohan Pagey, Mohammad Mannan, Amr M. Youssef:
All Your Shops Are Belong to Us: Security Weaknesses in E-commerce Platforms. 2144-2154 - Gaël Bernard, Rémi Coudert, Bertil Chapuis, Kévin Huguenin:
An Empirical Study of the Usage of Checksums for Web Downloads. 2155-2165 - Ruoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal:
Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps. 2166-2177 - Junhua Su, Alexandros Kapravelos:
Automatic Discovery of Emerging Browser Fingerprinting Techniques. 2178-2188 - Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu:
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. 2189-2197 - Yujin Huang, Terry Yue Zhuo, Qiongkai Xu, Han Hu, Xingliang Yuan, Chunyang Chen:
Training-free Lexical Backdoor Attacks on Language Models. 2198-2208 - Soodeh Atefi, Amutheezan Sivagnanam, Afiya Ayman, Jens Grossklags, Aron Laszka:
The Benefits of Vulnerability Discovery and Bug Bounty Programs: Case Studies of Chromium and Firefox. 2209-2219 - Peng Qian, Zhenguang Liu, Yifang Yin, Qinming He:
Cross-Modality Mutual Learning for Enhancing Smart Contract Vulnerability Detection on Bytecode. 2220-2229 - Dongkeun Lee, Minwoo Joo, Wonjun Lee:
Net-track: Generic Web Tracking Detection Using Packet Metadata. 2230-2240 - Rui Zhao:
The Chameleon on the Web: an Empirical Study of the Insidious Proactive Web Defacements. 2241-2251 - Nishat Koti, Varsha Bhat Kukkala, Arpita Patra, Bhavish Raj Gopal:
Shield: Secure Allegation Escrow System with Stronger Guarantees. 2252-2262 - Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang:
Unnoticeable Backdoor Attacks on Graph Neural Networks. 2263-2273 - Kailun Yan, Jilian Zhang, Xiangyu Liu, Wenrui Diao, Shanqing Guo:
Bad Apples: Understanding the Centralized Security Risks in Decentralized Ecosystems. 2274-2283 - Xigao Li, Babak Amin Azad, Amir Rahmati, Nick Nikiforakis:
Scan Me If You Can: Understanding and Detecting Unwanted Vulnerability Scanning. 2284-2294 - Johnny So, Michael Ferdman, Nick Nikiforakis:
The More Things Change, the More They Stay the Same: Integrity of Modern JavaScript. 2295-2305 - Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin:
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. 2306-2317 - Sanghak Oh, Minwook Lee, Hyunwoo Lee, Elisa Bertino, Hyoungshick Kim:
AppSniffer: Towards Robust Mobile App Fingerprinting Against VPN. 2318-2328 - Dongwon Shin, Suyoung Lee, Sooel Son:
RICC: Robust Collective Classification of Sybil Accounts. 2329-2339 - Yuanjing Luo, Tongqing Zhou, Fang Liu, Zhiping Cai:
IRWArt: Levering Watermarking Performance for Protecting High-quality Artwork Images. 2340-2348 - Minxin Du, Xiang Yue, Sherman S. M. Chow, Huan Sun:
Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy. 2349-2359 - Sangwon Lim, Hyeonmin Lee, Hyunsoo Kim, Hyunwoo Lee, Ted Taekyoung Kwon:
ZTLS: A DNS-based Approach to Zero Round Trip Delay in TLS handshake. 2360-2370 - Yanjun Zhang, Guangdong Bai, Mahawaga Arachchige Pathum Chamikara, Mengyao Ma, Liyue Shen, Jingwei Wang, Surya Nepal, Minhui Xue, Long Wang, Joseph K. Liu:
AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning. 2371-2382
Semantics and Knowledge
- Sola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh:
Event Prediction using Case-Based Reasoning over Knowledge Graphs. 2383-2391 - Linli Yao, Weijing Chen, Qin Jin:
CapEnrich: Enriching Caption Semantics for Web Images via Cross-modal Pre-trained Knowledge. 2392-2401 - Kunpeng Guo, Dennis Diefenbach, Antoine Gourru, Christophe Gravier:
Wikidata as a seed for Web Extraction. 2402-2411 - Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang:
Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. 2412-2422 - Huang Fang, Yang Liu, Yunfeng Cai, Mingming Sun:
MLN4KB: an efficient Markov logic network engine for large-scale knowledge bases and structured logic rules. 2423-2432 - Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou:
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph. 2433-2443 - Xiangrong Zhu, Guangyao Li, Wei Hu:
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning. 2444-2454 - Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Johannes Hoffart, Manish Singh, Toyotaro Suzumura:
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? 2455-2466 - Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun:
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. 2467-2476 - Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong:
Knowledge Graph Question Answering with Ambiguous Query. 2477-2486 - Serafeim Chatzopoulos, Thanasis Vergoulis, Dimitrios Skoutas, Theodore Dalamagas, Christos Tryfonopoulos, Panagiotis Karras:
Atrapos: Real-time Evaluation of Metapath Query Workloads. 2487-2498 - Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li:
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. 2499-2508 - Ines Arous, Ljiljana Dolamic, Philippe Cudré-Mauroux:
TaxoComplete: Self-Supervised Taxonomy Completion Leveraging Position-Enhanced Semantic Matching. 2509-2518 - Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang:
Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. 2519-2527 - Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao:
Unsupervised Entity Alignment for Temporal Knowledge Graphs. 2528-2538 - Xin Ren, Luyi Bai, Qianwen Xiao, Xiangxi Meng:
Hierarchical Self-Attention Embedding for Temporal Knowledge Graph Completion. 2539-2547 - Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo:
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. 2548-2559 - Ziyang Li, Yu Gu, Yulin Shen, Wei Hu, Gong Cheng:
TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge Graphs. 2560-2571 - Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing:
IMF: Interactive Multimodal Fusion Model for Link Prediction. 2572-2580 - Wen Zhang, Yushan Zhu, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song, Huajun Chen:
Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer. 2581-2590 - Yu Liu, Wen Hua, Kexuan Xin, Saeid Hosseini, Xiaofang Zhou:
TEA: Time-aware Entity Alignment in Knowledge Graphs. 2591-2599 - Cosimo Gregucci, Mojtaba Nayyeri, Daniel Hernández, Steffen Staab:
Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models. 2600-2610 - Heng Chang, Jie Cai, Jia Li:
Knowledge Graph Completion with Counterfactual Augmentation. 2611-2620 - Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher:
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning. 2621-2632 - Shimin Di, Lei Chen:
Message Function Search for Knowledge Graph Embedding. 2633-2644
Web & Society
- Pelayo Vallina, Ignacio Castro, Gareth Tyson:
Cashing in on Contacts: Characterizing the OnlyFans Ecosystem. 2645-2654 - Renhe Jiang, Zhaonan Wang, Yudong Tao, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu:
Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster. 2655-2665 - Manoel Horta Ribeiro, Justin Cheng, Robert West:
Automated Content Moderation Increases Adherence to Community Guidelines. 2666-2676 - Yunhao Yuan, Koustuv Saha, Barbara Keller, Erkki Tapio Isometsä, Talayeh Aledavood:
Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect. 2677-2685 - Taro Tsuchiya, Alejandro Cuevas, Thomas Magelinski, Nicolas Christin:
Misbehavior and Account Suspension in an Online Financial Communication Platform. 2686-2697 - Bing He, Mustaque Ahamad, Srijan Kumar:
Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation. 2698-2709 - Yin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen:
MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction. 2710-2718 - Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan:
Large-Scale Analysis of New Employee Network Dynamics. 2719-2730 - Rumaisa Habib, Aimen Inam, Ayesha Ali, Ihsan Ayyub Qazi, Zafar Ayyub Qazi:
A First Look at Public Service Websites from the Affordability Lens. 2731-2741 - Bruno Coelho, Tobias Lauinger, Laura Edelson, Ian Goldstein, Damon McCoy:
Propaganda Política Pagada: Exploring U.S. Political Facebook Ads en Español. 2742-2753 - Sergej Wildemann, Claudia Niederée, Erick Elejalde:
Migration Reframed? A multilingual analysis on the stance shift in Europe during the Ukrainian crisis. 2754-2764 - Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit Routines of Fake News Sites. 2765-2776 - Corrado Monti, Jacopo D'Ignazi, Michele Starnini, Gianmarco De Francisci Morales:
Evidence of Demographic rather than Ideological Segregation in News Discussion on Reddit. 2777-2786 - Christina Yeung, Umar Iqbal, Yekaterina Tsipenyuk O'Neil, Tadayoshi Kohno, Franziska Roesner:
Online Advertising in Ukraine and Russia During the 2022 Russian Invasion. 2787-2796 - Deepak Kumar, Jeff T. Hancock, Kurt Thomas, Zakir Durumeric:
Understanding the Behaviors of Toxic Accounts on Reddit. 2797-2807 - Linsen Li, Aron Culotta, Douglas N. Harris, Nicholas Mattei:
Online Reviews Are Leading Indicators of Changes in K-12 School Attributes. 2808-2818 - Yongxin Xu, Xu Chu, Kai Yang, Zhiyuan Wang, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie:
SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data. 2819-2830 - Aitolkyn Baigutanova, Jaehyeon Myung, Diego Sáez-Trumper, Ai-Jou Chou, Miriam Redi, Changwook Jung, Meeyoung Cha:
Longitudinal Assessment of Reference Quality on Wikipedia. 2831-2839 - Xi Leslie Chen, Abhratanu Dutta, Sindhu Kiranmai Ernala, Stratis Ioannidis, Shankar Kalyanaraman, Israel Nir, Udi Weinsberg:
Gateway Entities in Problematic Trajectories. 2840-2851 - Arthur Capozzi, Gianmarco De Francisci Morales, Yelena Mejova, Corrado Monti, André Panisson:
The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections. 2852-2862
Systems and Infrastructure for Web, Mobile Web, and Web of Things
- Bingyan Liu, Yifeng Cai, Hongzhe Bi, Ziqi Zhang, Ding Li, Yao Guo, Xiangqun Chen:
Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users. 2863-2873 - Zhe Xie, Haowen Xu, Wenxiao Chen, Wanxue Li, Huai Jiang, Liangfei Su, Hanzhang Wang, Dan Pei:
Unsupervised Anomaly Detection on Microservice Traces through Graph VAE. 2874-2884 - Alan Romano, Weihang Wang:
Automated WebAssembly Function Purpose Identification With Semantics-Aware Analysis. 2885-2894 - Kaibin Wang, Qiang He, Feifei Chen, Hai Jin, Yun Yang:
FedEdge: Accelerating Edge-Assisted Federated Learning. 2895-2904 - Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini:
CausIL: Causal Graph for Instance Level Microservice Data. 2905-2915 - Bingkun Sun, Liwei Shen, Xin Peng, Ziming Wang:
SCTAP: Supporting Scenario-Centric Trigger-Action Programming based on Software-Defined Physical Environments. 2916-2926 - Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. 2927-2936 - Qingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu, Dan Pei:
CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data. 2937-2947 - Xinlei Yang, Wei Liu, Hao Lin, Zhenhua Li, Feng Qian, Xianlong Wang, Yunhao Liu, Tianyin Xu:
Visual-Aware Testing and Debugging for Web Performance Optimization. 2948-2959 - Weichen Bi, Yun Ma, Deyu Tian, Qi Yang, Mingtao Zhang, Xiang Jing:
Demystifying Mobile Extended Reality in Web Browsers: How Far Can We Go? 2960-2969 - Xinrui Jiang, Yicheng Pan, Meng Ma, Ping Wang:
Look Deep into the Microservice System Anomaly through Very Sparse Logs. 2970-2978 - Kaibin Wang, Qiang He, Feifei Chen, Chunyang Chen, Faliang Huang, Hai Jin, Yun Yang:
FlexiFed: Personalized Federated Learning for Edge Clients with Heterogeneous Model Architectures. 2979-2990 - Kefan Chen, Bo Wang, Wufan Wang, Xiaoyu Li, Fengyuan Ren:
DeeProphet: Improving HTTP Adaptive Streaming for Low Latency Live Video by Meticulous Bandwidth Prediction. 2991-3001 - Zhengyu Wu, ChengHao Ryan Yang, Santiago Vargas, Aruna Balasubramanian:
Is IPFS Ready for Decentralized Video Streaming? 3002-3010 - Christoph H.-J. Braun, Vasil Papanchev, Tobias Käfer:
SISSI: An Architecture for Semantic Interoperable Self-Sovereign Identity-based Access Control on the Web. 3011-3021 - Klaus-Tycho Foerster, Thibault Marette, Stefan Neumann, Claudia Plant, Ylli Sadikaj, Stefan Schmid, Yllka Velaj:
Analyzing the Communication Clusters in Datacenters✱. 3022-3032 - Liang Yuan, Qiang He, Feifei Chen, Ruihan Dou, Hai Jin, Yun Yang:
PipeEdge: A Trusted Pipelining Collaborative Edge Training based on Blockchain. 3033-3043 - Chen Gong, Zhenzhe Zheng, Fan Wu, Yunfeng Shao, Bingshuai Li, Guihai Chen:
To Store or Not? Online Data Selection for Federated Learning with Limited Storage. 3044-3055 - Yanan Li, Haitao Yuan, Zhe Fu, Xiao Ma, Mengwei Xu, Shangguang Wang:
ELASTIC: Edge Workload Forecasting based on Collaborative Cloud-Edge Deep Learning. 3056-3066 - Mehmet Savasci, Ahmed Ali-Eldin, Johan Eker, Anders Robertsson, Prashant J. Shenoy:
DDPC: Automated Data-Driven Power-Performance Controller Design on-the-fly for Latency-sensitive Web Services. 3067-3076 - Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu:
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. 3077-3085 - Yue Hu, Yuhang Zhang, Yanbing Wang, Daniel B. Work:
Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks. 3086-3097 - Binbin Feng, Zhijun Ding:
GROUP: An End-to-end Multi-step-ahead Workload Prediction Approach Focusing on Workload Group Behavior. 3098-3108 - Ishaku Hassan Anaobi, Aravindh Raman, Ignacio Castro, Haris Bin Zia, Damilola Ibosiola, Gareth Tyson:
Will Admins Cope? Decentralized Moderation in the Fediverse. 3109-3120 - Qian Yu, Qing Li, Rui He, Gareth Tyson, Wanxin Shi, Jianhui Lv, Zhenhui Yuan, Peng Zhang, Yulong Lan, Zhicheng Li:
BiSR: Bidirectionally Optimized Super-Resolution for Mobile Video Streaming. 3121-3131 - Yanjie Zhao, Tianming Liu, Haoyu Wang, Yepang Liu, John C. Grundy, Li Li:
Are Mobile Advertisements in Compliance with App's Age Group? 3132-3141 - Zeqian Dong, Qiang He, Feifei Chen, Hai Jin, Tao Gu, Yun Yang:
EdgeMove: Pipelining Device-Edge Model Training for Mobile Intelligence. 3142-3153 - Sunjae Kim, Wonjun Lee:
HTTP Steady Connections for Robust Web Acceleration. 3154-3163
Search
- Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King:
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. 3164-3172 - Hongyu Shan, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Chenliang Li:
Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval. 3173-3181 - Gustavo Penha, Enrico Palumbo, Maryam Aziz, Alice Wang, Hugues Bouchard:
Improving Content Retrievability in Search with Controllable Query Generation. 3182-3192 - Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao:
Learning Denoised and Interpretable Session Representation for Conversational Search. 3193-3202 - Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang:
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. 3203-3213 - Jiahong Zhou, Shunhui Mao, Guoliang Yang, Bo Tang, Qianlong Xie, Lebin Lin, Xingxing Wang, Dong Wang:
RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems. 3214-3224 - Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh:
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. 3225-3235 - Zhijing Wu, Jiaxin Mao, Kedi Xu, Dandan Song, Heyan Huang:
A Passage-Level Reading Behavior Model for Mobile Search. 3236-3246 - Ulugbek Ergashev, Eduard C. Dragut, Weiyi Meng:
Learning To Rank Resources with GNN. 3247-3256 - Zhongjie Duan, Chengyu Wang, Cen Chen, Wenmeng Zhou, Jun Huang, Weining Qian:
Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost. 3257-3267 - Xunguang Wang, Yiqun Lin, Xiaomeng Li:
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval. 3268-3277 - Ali Montazeralghaem, Nick Craswell, Ryen W. White, Ahmed Hassan Awadallah, Byungki Byun:
Algorithmic Vibe in Information Retrieval. 3278-3287 - Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai:
Zero-shot Clarifying Question Generation for Conversational Search. 3288-3298 - Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan:
PROD: Progressive Distillation for Dense Retrieval. 3299-3308 - Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu:
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. 3309-3318 - Haixin Wang, Jinan Sun, Xiang Wei, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo:
DANCE: Learning A Domain Adaptive Framework for Deep Hashing. 3319-3330 - Amir Krause, Sara Cohen:
Geographic Information Retrieval Using Wikipedia Articles. 3331-3341 - Zihao Li, Dongqi Fu, Jingrui He:
Everything Evolves in Personalized PageRank. 3342-3352 - Zepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen:
Differentiable Optimized Product Quantization and Beyond. 3353-3363 - Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, Ji-Rong Wen:
Incorporating Explicit Subtopics in Personalized Search. 3364-3374 - Yifan Qiao, Yingrui Yang, Haixin Lin, Tao Yang:
Optimizing Guided Traversal for Fast Learned Sparse Retrieval. 3375-3385 - Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu:
Optimizing Feature Set for Click-Through Rate Prediction. 3386-3395 - Nuo Chen, Jiqun Liu, Tetsuya Sakai:
A Reference-Dependent Model for Web Search Evaluation: Understanding and Measuring the Experience of Boundedly Rational Users. 3396-3405 - Siddharth Gollapudi, Neel Karia, Varun Sivashankar, Ravishankar Krishnaswamy, Nikit Begwani, Swapnil Raz, Yiyong Lin, Yin Zhang, Neelam Mahapatro, Premkumar Srinivasan, Amit Singh, Harsha Vardhan Simhadri:
Filtered-DiskANN: Graph Algorithms for Approximate Nearest Neighbor Search with Filters. 3406-3416
Economics, Monetization, and Online Markets
- Bonan Ni, Xun Wang, Qi Zhang, Pingzhong Tang, Zhourong Chen, Tianjiu Yin, Liangni Lu, Xiaobing Liu, Kewu Sun, Zhe Ma:
Ad Auction Design with Coupon-Dependent Conversion Rate in the Auto-bidding World. 3417-3427 - Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo:
Autobidding Auctions in the Presence of User Costs. 3428-3435 - Yichi Zhang, Grant Schoenebeck:
Multitask Peer Prediction With Task-dependent Strategies. 3436-3446 - Haiqing Zhu, Yun Kuen Cheung, Lexing Xie:
Stability and Efficiency of Personalised Cultural Markets. 3447-3455 - Omer Ben-Porat, Rotem Torkan:
Learning with Exposure Constraints in Recommendation Systems. 3456-3466 - Yichi Zhang, Grant Schoenebeck:
High-Effort Crowds: Limited Liability via Tournaments. 3467-3477 - Andrés Perlroth, Aranyak Mehta:
Auctions without commitment in the auto-bidding world. 3478-3488 - Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh:
Learning to Bid in Contextual First Price Auctions✱. 3489-3497 - Jianhao Jia, Hao Li, Kai Liu, Ziqi Liu, Jun Zhou, Nikolai Gravin, Zhihao Gavin Tang:
Online resource allocation in Markov Chains. 3498-3507 - Zihan Tan, Yifeng Teng, Mingfei Zhao:
Worst-Case Welfare of Item Pricing in the Tollbooth Problem. 3508-3518 - Marios Papachristou, Siddhartha Banerjee, Jon M. Kleinberg:
Dynamic Interventions for Networked Contagions. 3519-3529 - He Huang, Kai Han, Shuang Cui, Jing Tang:
Randomized Pricing with Deferred Acceptance for Revenue Maximization with Submodular Objectives. 3530-3540 - Gagan Goel, Renato Paes Leme, Jon Schneider, David Thompson, Hanrui Zhang:
Eligibility Mechanisms: Auctions Meet Information Retrieval. 3541-3549 - Zhe Feng, Swati Padmanabhan, Di Wang:
Online Bidding Algorithms for Return-on-Spend Constrained Advertisers✱. 3550-3560 - Christopher Liaw, Aranyak Mehta, Andrés Perlroth:
Efficiency of Non-Truthful Auctions in Auto-bidding: The Power of Randomization. 3561-3571 - Liang Dai, Zhonglin Zu, Hao Wu, Liang Wang, Bo Zheng:
Fairness-aware Guaranteed Display Advertising Allocation under Traffic Cost Constraint. 3572-3580 - Daisuke Kawai, Alejandro Cuevas, Bryan R. Routledge, Kyle Soska, Ariel Zetlin-Jones, Nicolas Christin:
Is your digital neighbor a reliable investment advisor? 3581-3591 - Xintong Wang, Gary Qiurui Ma, Alon Eden, Clara Li, Alexander Trott, Stephan Zheng, David C. Parkes:
Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study. 3592-3602 - Yongkang Guo, Yuan Yuan, Jinshan Zhang, Yuqing Kong, Zhihua Zhu, Zheng Cai:
Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms. 3603-3613 - Ioannis Caragiannis, George Christodoulou, Nicos Protopapas:
Impartial Selection with Prior Information. 3614-3624
Fairness, Accountability, Transparency and Ethics on the Web
- Anay Mehrotra, Nisheeth K. Vishnoi:
Maximizing Submodular Functions for Recommendation in the Presence of Biases. 3625-3636 - Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee:
Do Language Models Plagiarize? 3637-3647 - Jessie J. Smith, Lex Beattie, Henriette Cramer:
Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners' Perspective. 3648-3659 - Chris Hays, Zachary Schutzman, Manish Raghavan, Erin Walk, Philipp Zimmer:
Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection. 3660-3669 - Rafael Becerril-Arreola:
A Method to Assess and Explain Disparate Impact in Online Retailing. 3670-3679 - Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao:
Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. 3680-3688 - Soumyajit Gupta, Sooyong Lee, Maria De-Arteaga, Matthew Lease:
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection. 3689-3700 - Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong:
P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. 3701-3711 - Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie:
Towards Explainable Collaborative Filtering with Taste Clusters Learning. 3712-3722 - Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li:
Fairly Adaptive Negative Sampling for Recommendations. 3723-3733 - Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny Mathew, Torsten Zesch, Animesh Mukherjee:
HateProof: Are Hateful Meme Detection Systems really Robust? 3734-3743 - Anjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah:
Towards Fair Allocation in Social Commerce Platforms. 3744-3754 - Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He:
Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs. 3755-3765 - Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha:
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. 3766-3774 - Kate Donahue, Jon M. Kleinberg:
Fairness in model-sharing games. 3775-3783 - Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun:
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. 3784-3793
Crowdsourcing and Human Computation
- Senuri Wijenayake, Danula Hettiachchi, Jorge Gonçalves:
Combining Worker Factors for Heterogeneous Crowd Task Assignment. 3794-3805 - Emoke-Ágnes Horvát, Henry Kudzanai Dambanemuya, Jayaram Uparna, Brian Uzzi:
Hidden Indicators of Collective Intelligence in Crowdfunding. 3806-3815 - Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang:
A Dataset on Malicious Paper Bidding in Peer Review. 3816-3826 - Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima:
Multiview Representation Learning from Crowdsourced Triplet Comparisons. 3827-3836 - Sepideh Mesbah, Ines Arous, Jie Yang, Alessandro Bozzon:
HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale. 3837-3848 - Tianjiao Yu, Sukrit Venkatagiri, Ismini Lourentzou, Kurt Luther:
Sedition Hunters: A Quantitative Study of the Crowdsourced Investigation into the 2021 U.S. Capitol Attack. 3849-3858 - Shaochen Yu, Lei Han, Marta Indulska, Shazia W. Sadiq, Gianluca Demartini:
Human-in-the-loop Regular Expression Extraction for Single Column Format Inconsistency. 3859-3867
The Creative Web
- Junhui Ji, Wei Ren, Usman Naseem:
Identifying Creative Harmful Memes via Prompt based Approach. 3868-3872 - Jacopo de Berardinis, Albert Meroño-Peñuela, Andrea Poltronieri, Valentina Presutti:
The Harmonic Memory: a Knowledge Graph of harmonic patterns as a trustworthy framework for computational creativity. 3873-3882 - Xingyu Liu, Pengfei Ren, Yuchen Chen, Cong Liu, Jing Wang, Haifeng Sun, Qi Qi, Jingyu Wang:
SA-Fusion: Multimodal Fusion Approach for Web-based Human-Computer Interaction in the Wild. 3883-3891 - Yutong Xie, Zhaoying Pan, Jinge Ma, Luo Jie, Qiaozhu Mei:
A Prompt Log Analysis of Text-to-Image Generation Systems. 3892-3902 - Bhavya, Jinjun Xiong, Chengxiang Zhai:
CAM: A Large Language Model-based Creative Analogy Mining Framework. 3903-3914 - Simin Yang, Ze Gao, Reza Hadi Mogavi, Pan Hui, Tristan Braud:
Tangible Web: An Interactive Immersion Virtual Reality Creativity System that Travels Across Reality. 3915-3922 - Junaid Rashid, Jungeun Kim, Usman Naseem:
Coherent Topic Modeling for Creative Multimodal Data on Social Media. 3923-3927
Web4Good
- Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Yang Long:
Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance. 3928-3936 - Hui Luo, Zhifeng Bao, J. Shane Culpepper, Mingzhao Li, Yanchang Zhao:
Facility Relocation Search For Good: When Facility Exposure Meets User Convenience. 3937-3947 - Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl:
A Multi-task Model for Emotion and Offensive Aided Stance Detection of Climate Change Tweets. 3948-3958 - Thi Huyen Nguyen, Koustav Rudra:
Learning Faithful Attention for Interpretable Classification of Crisis-Related Microblogs under Constrained Human Budget. 3959-3967 - Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang:
Exploring Social Media for Early Detection of Depression in COVID-19 Patients. 3968-3977 - Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu:
Attacking Fake News Detectors via Manipulating News Social Engagement. 3978-3986 - Ruiqing Ding, Fangjie Rong, Xiao Han, Leye Wang:
Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals. 3987-3993 - Ruohan Zong, Yang Zhang, Lanyu Shang, Dong Wang:
ContrastFaux: Sparse Semi-supervised Fauxtography Detection on the Web using Multi-view Contrastive Learning. 3994-4003 - Bharathan Balaji, Venkata Sai Gargeya Vunnava, Geoffrey Guest, Jared Kramer:
CaML: Carbon Footprinting of Household Products with Zero-Shot Semantic Text Similarity. 4004-4014 - Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng:
Identifying Checkworthy CURE Claims on Twitter. 4015-4019 - Muzhe Guo, Muhao Guo, Edward T. Dougherty, Fang Jin:
MSQ-BioBERT: Ambiguity Resolution to Enhance BioBERT Medical Question-Answering. 4020-4028 - Lisette Espín-Noboa, János Kertész, Márton Karsai:
Interpreting wealth distribution via poverty map inference using multimodal data. 4029-4040 - Zhenyang Li, Yancheng Dong, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang:
Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System. 4041-4049 - Yang Zhang, Lanyu Shang, Ruohan Zong, Huimin Zeng, Zhenrui Yue, Dong Wang:
CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. 4050-4059 - Elisa Sartori, Luca Pajola, Giovanni Da San Martino, Mauro Conti:
The Impact of Covid-19 on Online Discussions: the Case Study of the Sanctioned Suicide Forum. 4060-4064 - Mohammad Abuhassan, Tarique Anwar, Chengfei Liu, Hannah K. Jarman, Matthew Fuller-Tyszkiewicz:
EDNet: Attention-Based Multimodal Representation for Classification of Twitter Users Related to Eating Disorders. 4065-4074 - Nianzu Yang, Kaipeng Zeng, Qitian Wu, Junchi Yan:
MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning. 4075-4085 - Lluís Garcia Pueyo, Vinodh Kumar Sunkara, Prathyusha Senthil Kumar, Mohit Diwan, Qian Ge, Behrang Javaherian, Vasilis Verroios:
Detecting and Limiting Negative User Experiences in Social Media Platforms. 4086-4094 - Peiling Yi, Arkaitz Zubiaga:
Learning like human annotators: Cyberbullying detection in lengthy social media sessions. 4095-4103 - Vera Sosnovik, Romaissa Kessi, Maximin Coavoux, Oana Goga:
On Detecting Policy-Related Political Ads: An Exploratory Analysis of Meta Ads in 2022 French Election. 4104-4114 - Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu:
Graph-based Village Level Poverty Identification. 4115-4119 - Zainab Akhtar, Umair Qazi, Rizwan Sadiq, Aya El-Sakka, Muhammad Sajjad, Ferda Ofli, Muhammad Imran:
Mapping Flood Exposure, Damage, and Population Needs Using Remote and Social Sensing: A Case Study of 2022 Pakistan Floods. 4120-4128 - Huan-Yuan Chen, Hong Yu:
Web Information Extraction for Social Good: Food Pantry Answering As an Example. 4129-4133 - Mariano Gastón Beiró, Jacopo D'Ignazi, Victoria Perez Bustos, Maria Florencia Prado, Kyriaki Kalimeri:
Moral Narratives Around the Vaccination Debate on Facebook. 4134-4141 - Nazanin Sabri, Stephen Reysen, Ingmar Weber:
Gender Pay Gap in Sports on a Fan-Request Celebrity Video Site. 4142-4149 - Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li:
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. 4150-4160 - Nikita Gautam, David Shumway, Megan Kowalcyk, Sarthak Khanal, Doina Caragea, Cornelia Caragea, Hande McGinty, Samuel Dorevitch:
Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health Risks. 4161-4171 - Chiara Patricia Drolsbach, Nicolas Pröllochs:
Believability and Harmfulness Shape the Virality of Misleading Social Media Posts. 4172-4177 - Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Boyu Gao, Weiqi Luo, Jian Weng:
Enhancing Deep Knowledge Tracing with Auxiliary Tasks. 4178-4187 - Chung-ju Huang, Leye Wang, Xiao Han:
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks. 4188-4199 - Hongzhi Shi, Quanming Yao, Yong Li:
Learning to Simulate Crowd Trajectories with Graph Networks. 4200-4209
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