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16th WSDM 2023: Singapore
- Tat-Seng Chua, Hady W. Lauw, Luo Si, Evimaria Terzi, Panayiotis Tsaparas:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023. ACM 2023, ISBN 978-1-4503-9407-9
Keynote Talks
- Ya-Qin Zhang
:
Towards Autonomous Driving. 1 - Maarten de Rijke
Beyond-Accuracy Goals, Again. 2-3 - Rosie Jones:
Learning to Understand Audio and Multimodal Content. 4-5
Session 1: Social Issues in Data Mining
- Nikita Bhalla
Local Edge Dynamics and Opinion Polarization. 6-14 - Sunyoung Park
Never Too Late to Learn: Regularizing Gender Bias in Coreference Resolution. 15-23 - Tao Yang
Marginal-Certainty-Aware Fair Ranking Algorithm. 24-32 - Rishav Hada
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion. 33-41 - Srinivas Virinchi
BLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed Graphs. 42-50 - Xing Su
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks. 51-59
Session 2: Recommender Systems I
- Li He
Simplifying Graph-based Collaborative Filtering for Recommendation. 60-68 - Kang Li
Self-Supervised Group Graph Collaborative Filtering for Group Recommendation. 69-77 - Jiangxia Cao
Towards Universal Cross-Domain Recommendation. 78-86 - Mozhdeh Ariannezhad
A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping. 87-95 - Riwei Lai
Disentangled Negative Sampling for Collaborative Filtering. 96-104 - Mukun Chen
Relation Preference Oriented High-order Sampling for Recommendation. 105-113
Session 3: Graph Neural Networks
- Zhenyu Yang
Minimum Entropy Principle Guided Graph Neural Networks. 114-122 - Cheng Yang
Learning to Distill Graph Neural Networks. 123-131 - Wendong Bi
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. 132-140 - Zexi Huang
Global Counterfactual Explainer for Graph Neural Networks. 141-149 - Xinlei Wang
Effective Graph Kernels for Evolving Functional Brain Networks. 150-158 - Jianan Zhao
Self-Supervised Graph Structure Refinement for Graph Neural Networks. 159-167
Session 4: Best of WSDM 2023
- Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. 168-176 - John Pougué-Biyong
Learning Stance Embeddings from Signed Social Graphs. 177-185 - Tianchi Cai
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning. 186-194 - Hongrui Xuan
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation. 195-203
Session 5: Recommender Systems II
- Jiarui Qin
Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation. 204-212 - Hongwei Tang
Range Restricted Route Recommendation Based on Spatial Keyword. 213-221 - Zhendong Chu
Meta Policy Learning for Cold-Start Conversational Recommendation. 222-230 - Xiaoyu Zhang
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. 231-239 - Wei Cai
A Causal View for Item-level Effect of Recommendation on User Preference. 240-248 - Jianchao Ji
Counterfactual Collaborative Reasoning. 249-257
Session 6: Learning
- Kunal Dahiya
NGAME: Negative Mining-aware Mini-batching for Extreme Classification. 258-266 - Xuanhao Chen
Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation. 267-275 - Song Wang
Few-shot Node Classification with Extremely Weak Supervision. 276-284 - Donghyun Son
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild. 285-293 - Xu Wang
A Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework. 294-302 - Chakib Fettal
Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering. 303-311
Session 7: Graph Mining
- Suman K. Bera
DeMEtRIS: Counting (near)-Cliques by Crawling. 312-320 - Qiang Yang, Changsheng Ma
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. 321-329 - Zequan Xu
Self-supervised Graph Representation Learning for Black Market Account Detection. 330-338 - Yixin Liu
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. 339-347 - Yiwei Wang
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. 348-356 - Yuan Gao
Alleviating Structural Distribution Shift in Graph Anomaly Detection. 357-365
Session 8: Recommendation and Learning
- Chenglin Li
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation. 366-374 - Liwei Deng
S2TUL: A Semi-Supervised Framework for Trajectory-User Linking. 375-383 - Feifan Li
DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social Platforms. 384-392 - Wei Yuan
Federated Unlearning for On-Device Recommendation. 393-401 - Qingyu Bing
Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation. 402-410 - Xuewei Li, Aitong Sun, Mankun Zhao, Jian Yu, Kun Zhu, Di Jin, Mei Yu, Ruiguo Yu:
Multi-Intention Oriented Contrastive Learning for Sequential Recommendation. 411-419
Session 9: Language Models and Text Mining
- Noriaki Kawamae
Friendly Conditional Text Generator. 420-428 - Yu Zhang
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. 429-437 - Ziyun Xu
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. 438-446 - Lilong Wen
Visual Matching is Enough for Scene Text Retrieval. 447-455 - Xiaodan Wang
AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained Models. 456-464 - Yuyan Chen, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Bang Liu, Yunwen Chen:
Can Pre-trained Language Models Understand Chinese Humor? 465-480
Poster Session
- Jing Du
IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation. 481-489 - Xiaoying Zhang
Disentangled Representation for Diversified Recommendations. 490-498 - Yi Ren
Slate-Aware Ranking for Recommendation. 499-507 - Yifang Qin
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. 508-516 - Senrong Xu
MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation. 517-525 - Lingyun Lu
VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation. 526-534 - Hao Wang
Knowledge-Adaptive Contrastive Learning for Recommendation. 535-543 - Mengru Chen
Heterogeneous Graph Contrastive Learning for Recommendation. 544-552 - Zihao Li
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. 553-561 - Jingkun Wang
Improving News Recommendation with Channel-Wise Dynamic Representations and Contrastive User Modeling. 562-570 - Himan Abdollahpouri
Calibrated Recommendations as a Minimum-Cost Flow Problem. 571-579 - Romain Deffayet
Generative Slate Recommendation with Reinforcement Learning. 580-588 - Boyu Li
SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation. 589-597 - Chenxu Zhu
AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. 598-606 - Siyi Qian
Robust Training of Graph Neural Networks via Noise Governance. 607-615 - Junfeng Fang
Cooperative Explanations of Graph Neural Networks. 616-624 - Qiaoyu Tan
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. 625-633 - Tianxiang Zhao
Towards Faithful and Consistent Explanations for Graph Neural Networks. 634-642 - Chang Liu
Position-Aware Subgraph Neural Networks with Data-Efficient Learning. 643-651 - Shenggui Tang
Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution. 652-660 - Liangwei Yang
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. 661-669 - Xiaowen Wei
CLNode: Curriculum Learning for Node Classification. 670-678 - Xin Zhou
Inductive Graph Transformer for Delivery Time Estimation. 679-687 - M. Eren Akbiyik
Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data. 688-696 - Yan Han
Search Behavior Prediction: A Hypergraph Perspective. 697-705 - Usman Naseem
A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. 706-714 - Zhen Tian
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. 715-723 - Shuting Wang
Heterogeneous Graph-based Context-aware Document Ranking. 724-732 - Pritish Chakraborty
Learning and Maximizing Influence in Social Networks Under Capacity Constraints. 733-741 - Arpit Merchant
Graph Summarization via Node Grouping: A Spectral Algorithm. 742-750 - Gongzhu Yin
Beyond Individuals: Modeling Mutual and Multiple Interactions for Inductive Link Prediction between Groups. 751-759 - Lichao Sun
Scalable Adversarial Attack Algorithms on Influence Maximization. 760-768 - Mingdai Yang
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. 769-777 - Linhao Luo
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs. 778-786 - Qiaoyu Tan
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. 787-795 - Bing Liu
Dependency-aware Self-training for Entity Alignment. 796-804 - Fangye Wang
CL4CTR: A Contrastive Learning Framework for CTR Prediction. 805-813 - Wei Tang
Weakly Supervised Entity Alignment with Positional Inspiration. 814-822 - Alex Deng
Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided Triggering. 823-831 - Zhenran Xu
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark. 832-840 - Nihal Jain
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections. 841-849 - Thanh Trung Huynh, Minh Hieu Nguyen, Thanh Tam Nguyen, Phi Le Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction. 850-858 - Xiaochuan Gou
Telecommunication Traffic Forecasting via Multi-task Learning. 859-867 - Yaguang Liu
Combining vs. Transferring Knowledge: Investigating Strategies for Improving Demographic Inference in Low Resource Settings. 868-876 - Junnan Dong
Active Ensemble Learning for Knowledge Graph Error Detection. 877-885 - Yasushi Kawase
Stochastic Solutions for Dense Subgraph Discovery in Multilayer Networks. 886-894 - Dan Luo
Model-based Unbiased Learning to Rank. 895-903 - Xiaosu Wang
Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting. 904-912 - Haiyuan Zhao
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. 913-921 - Cheng Ji
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. 922-930 - Alessandro Fabris
Pairwise Fairness in Ranking as a Dissatisfaction Measure. 931-939 - Lequn Wang
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems. 940-948 - Nikhita Vedula
Generating Explainable Product Comparisons for Online Shopping. 949-957 - Xin Zhang
Reducing the Bias of Visual Objects in Multimodal Named Entity Recognition. 958-966 - Aaron David Tucker
Variance-Minimizing Augmentation Logging for Counterfactual Evaluation in Contextual Bandits. 967-975 - Gang Chen
Unbiased Knowledge Distillation for Recommendation. 976-984 - Canzhe Zhao
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. 985-993 - Fan Hu
Revisiting Code Search in a Two-Stage Paradigm. 994-1002 - Yali Du
Multi-queue Momentum Contrast for Microvideo-Product Retrieval. 1003-1011 - Arindam Bhattacharya
Beyond Hard Negatives in Product Search: Semantic Matching Using One-Class Classification (SMOCC). 1012-1020 - Taiqiang Wu
Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval. 1021-1029 - Xuejiao Yang
Feature Missing-aware Routing-and-Fusion Network for Customer Lifetime Value Prediction in Advertising. 1030-1038 - Shilei Liu
Multimodal Pre-Training with Self-Distillation for Product Understanding in E-Commerce. 1039-1047 - Zhiqi Huang
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation. 1048-1056 - Lingyue Fu
An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. 1057-1065 - Yangsu Liu
Boosting Advertising Space: Designing Ad Auctions for Augment Advertising. 1066-1074 - Yunjia Xi
A Bird's-eye View of Reranking: From List Level to Page Level. 1075-1083 - Shaohui Zheng
Long-Document Cross-Lingual Summarization. 1084-1092 - Suyu Ge
FineSum: Target-Oriented, Fine-Grained Opinion Summarization. 1093-1101 - Mingzhe Li
EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator. 1102-1110 - Quoc-Tuan Truong
Concept-Oriented Transformers for Visual Sentiment Analysis. 1111-1119
Demo Session I
- Hiba Arnaout
UnCommonSense in Action! Informative Negations for Commonsense Knowledge Bases. 1120-1123 - Ya-Lin Zhang
A Framework for Detecting Frauds from Extremely Few Labels. 1124-1127 - Yongsheng Liu
MMBench: The Match Making Benchmark. 1128-1131 - Alfred Huang
SoCraft: Advertiser-level Predictive Scoring for Creative Performance on Meta. 1132-1135 - Sacha Lévy
DisKeyword: Tweet Corpora Exploration for Keyword Selection. 1136-1139 - Hang Li
AgAsk: A Conversational Search Agent for Answering Agricultural Questions. 1140-1143 - Shiv Shankar
Privacy Aware Experiments without Cookies. 1144-1147 - Jun Zhou
ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling. 1148-1151 - Zhihao Zhang
PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals. 1152-1155 - Shawon Sarkar
A Synthetic Search Session Generator for Task-Aware Information Seeking and Retrieval. 1156-1159 - Jafar Afzali
UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems. 1160-1163 - Veronika Arefieva
Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences. 1164-1167
Demo Session II
- Shrestha Ghosh
CoQEx: Entity Counts Explained. 1168-1171 - Shuo Yu
Web of Conferences: A Conference Knowledge Graph. 1172-1175 - Shuai Wang
MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction. 1176-1179 - Mario Alfonso Prado-Romero
Developing and Evaluating Graph Counterfactual Explanation with GRETEL. 1180-1183 - Yi Ding
DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network. 1184-1187 - Wei Emma Zhang
SimSumIoT: A Platform for Simulating the Summarisation from Internet of Things. 1188-1191 - Jianping Wei
AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios. 1192-1195 - Qi Yang
"Just To See You Smile": SMILEY, a Voice-Guided GUY GAN. 1196-1199 - Maksimjeet Chowdhary
Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms. 1200-1203 - Shan Jie Yong
DOCoR: Document-level OpenIE with Coreference Resolution. 1204-1207 - Chuchu Zhang
A Semantic Search Framework for Similar Audit Issue Recommendation in Financial Industry. 1208-1211
Doctoral Consortium
- Mithun Das
Classification of Different Participating Entities in the Rise of Hateful Content in Social Media. 1212-1213 - Zhihao Wen
Generalizing Graph Neural Network across Graphs and Time. 1214-1215 - Rucha Bhalchandra Joshi
Graphs: Privacy and Generation through ML. 1216-1217 - Tao Tang
Data-Efficient Graph Learning Meets Ethical Challenges. 1218-1219 - Venus Haghighi:
From Classic GNNs to Hyper-GNNs for Detecting Camouflaged Malicious Actors. 1220-1221 - Falih Gozi Febrinanto
Efficient Graph Learning for Anomaly Detection Systems. 1222-1223 - Punyajoy Saha
Self-supervision and Controlling Techniques to Improve Counter Speech Generation. 1224-1225 - Fatemeh Sarvi
Understanding the Effect of Outlier Items in E-commerce Ranking. 1226-1227
Tutorials
- Chenguang Zhu
Knowledge-Augmented Methods for Natural Language Processing. 1228-1231 - Punyajoy Saha
Hate Speech: Detection, Mitigation and Beyond. 1232-1235 - Jindong Wang
A Tutorial on Domain Generalization. 1236-1239 - Markus Schedl
Trustworthy Algorithmic Ranking Systems. 1240-1243 - Lizi Liao
Proactive Conversational Agents. 1244-1247 - Charles L. A. Clarke, Fernando Diaz, Negar Arabzadeh:
Preference-Based Offline Evaluation. 1248-1251 - Dongqi Fu
Natural and Artificial Dynamics in GNNs: A Tutorial. 1252-1255 - Fatemeh Nargesian
Next-generation Challenges of Responsible Data Integration. 1256-1259 - George Katsogiannis-Meimarakis
Data Democratisation with Deep Learning: The Anatomy of a Natural Language Data Interface. 1260-1263 - Ruiming Tang
AutoML for Deep Recommender Systems: Fundamentals and Advances. 1264-1267
Workshops
- Dmitry Ustalov
4th Crowd Science Workshop - CANDLE: Collaboration of Humans and Learning Algorithms for Data Labeling. 1268 - Lluís Garcia Pueyo
Integrity 2023: Integrity in Social Networks and Media. 1269-1270 - Tyler Derr
The 3rd International Workshop on Machine Learning on Graphs (MLoG). 1271-1272 - Qing Li
International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning. 1273-1274 - Yong Liu
WSDM 2023 Workshop on Interactive Recommender Systems. 1275-1276
Industry Day
- Steven C. H. Hoi
Responsible AI for Trusted AI-powered Enterprise Platforms. 1277-1278 - Breck Baldwin
Simulating Humans at Scale to Evaluate Voice Interfaces for TVs: the Round-Trip System at Comcast. 1279-1280 - Aleksandr Farseev
Under the Hood of Social Media Advertising: How Do We use AI Responsibly for Advertising Targeting and Creative Evaluation. 1281-1282 - Emre Kiciman
An Open-Source Suite of Causal AI Tools and Libraries. 1283-1284 - Chang How Tan
Compliance Analyses of Australia's Online Household Appliances. 1285-1286 - Orestis Papakyriakopoulos
Considerations for Ethical Speech Recognition Datasets. 1287-1288 - Rahul Gupta
Incorporating Fairness in Large Scale NLU Systems. 1289-1290 - Charith Peris
Privacy in the Time of Language Models. 1291-1292 - Pablo Montalvo
Learning to Infer Product Attribute Values From Descriptive Texts and Images. 1293-1294 - Zitao Liu
Recent Advances on Deep Learning based Knowledge Tracing. 1295-1296
Smart City Day
- Ankur Teredesai
Social Public Health Infrastructure for a Smart City Citizen Patient: Advances and Opportunities for AI Driven Disruptive Innovation. 1297-1298 - Georgios Bouloukakis
SmartCityBus - A Platform for Smart Transportation Systems. 1299-1300 - Zipei Fan
Metropolitan-scale Mobility Digital Twin. 1301-1302 - Zhaonan Wang
Towards an Event-Aware Urban Mobility Prediction System. 1303-1304 - Teng Guo
Student Behavior Pattern Mining and Analysis: Towards Smart Campuses. 1305-1306
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