WSDM 2023 - Singapore

16th ACM International Conference on Web Search and Data Mining, Singapore 2023

WSDM (pronounced "wisdom") is one of the premier conferences on web-inspired research involving search and data mining.

WSDM is a highly selective conference that includes invited talks, as well as refereed full papers. WSDM publishes original, high-quality papers related to search and data mining on the Web and the Social Web, with an emphasis on practical yet principled novel models of search and data mining, algorithm design and analysis, economic implications, and in-depth experimental analysis of accuracy and performance.

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Keynote talks
20 views, 57:38 Towards Autonomous DrivingTowards Autonomous Driving 1 comment	8 views, 1:00:07 Beyond-Accuracy Goals, AgainBeyond-Accuracy Goals, Again	6 views, 29:47 Learning to Understand Audio and Multimodal ContentLearning to Understand Audio and Multimodal Content
Opening
7 views, 14:40 Conference OpeningConference Opening
Session #1: Social Issues in Data Mining
7 views, 13:16 Local Edge Dynamics and Opinion PolarizationLocal Edge Dynamics and Opinion Polarization 2 comments	3 views, 11:05 Never Too Late to Learn: Regularizing Gender Bias in Coreference ResolutionNever Too Late to Learn: Regularizing Gender Bias in Coreference ...	2 views, 08:51 Marginal-Certainty-aware Fair Ranking AlgorithmMarginal-Certainty-aware Fair Ranking Algorithm	3 views, 11:02 Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political DiscussionBeyond Digital "Echo Chambers": The Role of Viewpoint Diversity in ...	1 view, 10:40 Mining User-aware Multi-Relations for Fake News Detection in Large Scale Online Social NetworksMining User-aware Multi-Relations for Fake News Detection in Large Scale ...
2 views, 14:47 BLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed GraphsBLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed ...
Session #2: Recommender Systems I
2 views, 14:40 Simplifying Graph-based Collaborative Filtering for RecommendationSimplifying Graph-based Collaborative Filtering for Recommendation	1 view, 14:22 A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery ShoppingA Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping 1 comment	2 views, 11:37 Relation Preference oriented High-order Sampling for RecommendationRelation Preference oriented High-order Sampling for Recommendation 1 comment	2 views, 12:53 Towards Universal Cross-Domain RecommendationTowards Universal Cross-Domain Recommendation	11:41 Self-Supervised Group Graph Collaborative Filtering for Group RecommendationSelf-Supervised Group Graph Collaborative Filtering for Group Recommendation
2 views, 11:31 Disentangled Negative Sampling for Collaborative FilteringDisentangled Negative Sampling for Collaborative Filtering 1 comment
Session #3: Graph Neural Networks
2 views, 10:03 Minimum Entropy Principle Guided Graph Neural NetworksMinimum Entropy Principle Guided Graph Neural Networks	3 views, 12:06 Global Counterfactual Explainer for Graph Neural NetworksGlobal Counterfactual Explainer for Graph Neural Networks	1 view, 15:53 Effective Graph Kernels for Evolving Functional Brain NetworksEffective Graph Kernels for Evolving Functional Brain Networks	1 view, 15:47 Self-Supervised Graph Structure Refinement for Graph Neural NetworksSelf-Supervised Graph Structure Refinement for Graph Neural Networks	1 view, 13:34 Learning to Distill Graph Neural NetworksLearning to Distill Graph Neural Networks
12:58 MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature DistributionMM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
Session #4: Best of WSDM 2023
2 views, 14:51 Learning Stance Embeddings from Signed Social GraphsLearning Stance Embeddings from Signed Social Graphs	12:47 Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer NetworkEfficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer ...	2 views, 14:18 Marketing Budget Allocation with Offline Constrained Deep Reinforcement LearningMarketing Budget Allocation with Offline Constrained Deep Reinforcement Learning	11:07 Knowledge Enhancement for Contrastive Multi-Behavior RecommendationKnowledge Enhancement for Contrastive Multi-Behavior Recommendation	14:23 Test of Time Award TalkTest of Time Award Talk
Session #5: Recommender Systems II
10:15 Learning to Distinguish Multi-User Coupling Behaviors for TV RecommendationLearning to Distinguish Multi-User Coupling Behaviors for TV Recommendation	1 view, 11:44 Variational Reasoning over Incomplete Knowledge Graphs for Conversational RecommendationVariational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation	1 view, 10:33 Range Restricted Route Recommendation Based on Spatial KeywordRange Restricted Route Recommendation Based on Spatial Keyword	1 view, 13:31 Meta Policy Learning for Cold-Start Conversational RecommendationMeta Policy Learning for Cold-Start Conversational Recommendation	1 view, 10:12 A Causal View for Item-level Effect of Recommendation on User PreferenceA Causal View for Item-level Effect of Recommendation on User ...
1 view, 09:16 Counterfactual Collaborative ReasoningCounterfactual Collaborative Reasoning
Session #6: Learning
1 view, 12:44 NGAME: Negative Mining-aware Mini-batching for Extreme ClassificationNGAME: Negative Mining-aware Mini-batching for Extreme Classification	11:00 Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the WildReliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation ...	1 view, 10:55 Simultaneous Linear Multi-view Attributed Graph Representation Learning and ClusteringSimultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering	1 view, 10:11 Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and InterpretationAdversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation	12:28 Few-shot Node Classification with Extremely Weak SupervisionFew-shot Node Classification with Extremely Weak Supervision
11:30 A Multi-graph Fusion Based Spatiotemporal Dynamic Learning FrameworkA Multi-graph Fusion Based Spatiotemporal Dynamic Learning Framework	16:47 DeMEtRIS: Counting (near)-Cliques by CrawlingDeMEtRIS: Counting (near)-Cliques by Crawling
Session #7: Graph Mining
2 views, 12:50 Interpretable Research Interest Shift Detection with Temporal Heterogeneous GraphsInterpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs	09:49 Alleviating Structural Distribution Shift in Graph Anomaly DetectionAlleviating Structural Distribution Shift in Graph Anomaly Detection	10:52 Self-supervised Graph Representation Learning for Black Market Account DetectionSelf-supervised Graph Representation Learning for Black Market Account Detection	13:12 GOOD-D: On Unsupervised Graph Out-Of-Distribution DetectionGOOD-D: On Unsupervised Graph Out-Of-Distribution Detection	11:45 Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate InferenceGraph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and ...
Session #8: Recommendation and Learning
11:42 One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain RecommendationOne for All, All for One: Learning and Transferring User ...	2 views, 10:14 Federated Unlearning for On-Device RecommendationFederated Unlearning for On-Device Recommendation	11:14 S2TUL: A Semi-Supervised Framework for Trajectory-User LinkingS2TUL: A Semi-Supervised Framework for Trajectory-User Linking	14:06 DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social PlatformsDIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement ...	11:28 Cognition-aware Knowledge Graph Reasoning for Explainable RecommendationCognition-aware Knowledge Graph Reasoning for Explainable Recommendation
11:49 Multi-Intention Oriented Contrastive Learning for Sequential RecommendationMulti-Intention Oriented Contrastive Learning for Sequential Recommendation
Session #9: Language Models and Text Mining
2 views, 12:07 Visual Matching Is Enough for Scene Text RetrievalVisual Matching Is Enough for Scene Text Retrieval	4 views, 07:57 Can Pre-trained Language Models Understand Chinese Humor?Can Pre-trained Language Models Understand Chinese Humor?	3 views, 13:20 Effective Seed-Guided Topic Discovery by Integrating Multiple Types of ContextsEffective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts 2 comments	1 view, 11:35 Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt TuningMaking Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt ...	2 views, 14:55 AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained ModelsAGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained ...
WSDM Business Lunch
5 views, 38:08 WSDM Business LunchWSDM Business Lunch

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Year

WSDM 2023 - Singapore

16th ACM International Conference on Web Search and Data Mining, Singapore 2023

Event sections

Keynote talks

Opening

Session #1: Social Issues in Data Mining

Session #2: Recommender Systems I

Session #3: Graph Neural Networks

Session #4: Best of WSDM 2023

Session #5: Recommender Systems II

Session #6: Learning

Session #7: Graph Mining

Session #8: Recommendation and Learning

Session #9: Language Models and Text Mining

WSDM Business Lunch

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