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WSDM 2023 : Web Search and Data Mining


Conference Series : Web Search and Data Mining
When Feb 27, 2023 - Mar 3, 2023
Where Singapore
Submission Deadline Aug 12, 2022
Notification Due Oct 21, 2022
Final Version Due Jan 6, 2023
Categories    data mining   web mining   web search   machine learning

Call For Papers

WSDM proceedings are published in the ACM Digital Library. We invite papers in the areas below, with example topics listed for each area.

Web Search
Algorithms for web-scale search; Adversarial search; Search user interfaces and interaction; Distributed search, metasearch, peer-to-peer search; Local and mobile search; Multimedia web search, crosslingual search; Query analysis and query processing; Search benchmarking and evaluation; Search user behavior and log analysis; Search with Foundation Models

Web Mining and Content Analysis
Crawling and indexing web content; Web recommender systems and algorithms; Clustering, classification, and summarization of web data; Data, entity, event, and relationship extraction; Knowledge acquisition and automatic construction of knowledge bases; Large-scale graph analysis; Semantic search, faceted search, and knowledge graphs; Multimodal data mining; Scalable algorithms for mining web data; Opinion mining and sentiment analysis; Web traffic and log analysis; Web measurements, web evolution, and web models.

Web of Things, Ubiquitous and Mobile Computing
Geo-location data analysis; Mobility and behavior data mining; Location-based social networks; User activity modeling and exploitation.

Privacy, Fairness, Interpretability
Fairness and accountability in ranking, recommendations and advertising; Explainability in web systems; Model and algorithm transparency; Interpretable models of individual and social behavior; Web search and data mining under privacy constraints.

Social Networks
Link prediction and community detection; Social network analysis and graph algorithms; Computational social science; Influence and viral marketing in social networks; Social sensing; Searching social and real-time content; Social network dynamics; Sampling, experiments, and evaluation in social networks; Social media analysis: blogs and friendship networks; Social network analysis, theories, models and applications; Social reputation and trust.

Intelligent Assistants
Voice search, conversational search, and dialog systems; Personal assistants, dialogue models, and conversational interaction; Task-driven search; Zero-query and implicit search.

Crowdsourcing and Human Computation
Collaborative search and question answering; Human-in-the-Loop and Collaborative Human-AI systems.

Emerging Applications
Monitoring and prevention of epidemics; Mental health and well-being support systems; Systems and algorithms for urban applications; Online education systems; Web Mining for Social Good.

Information Integrity
Systems and algorithms for monitoring and detection of misinformation and fake news; Prevalence and virality of misinformation; Misinformation sources and origins; Source and content credibility; Detecting and combating spamming, trolling, aggression, and toxic online behaviors; Methods for detecting and mitigating low quality and offensive content, bullying and hate speech; Polarization, Extremism and Radicalization; Echo chambers and Filter bubbles.

Related Resources

MLDM 2023   18th International Conference on Machine Learning and Data Mining
WSDM 2022   Web Search and Data Mining
SDM 2023   SDM 2023 : SIAM International Conference on Data Mining
PAKDD 2023   The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining
IJCNN 2023   International Joint Conference on Neural Networks
MLDM 2023   19th International Conference on Machine Learning and Data Mining
ACM-Ei/Scopus-CWCBD 2023   2023 4th International Conference on Wireless Communications and Big Data (CWCBD 2023) -EI Compendex
ICACII 2023   2nd International Conference on Advances in Computational Intelligence and Informatics
TNNLS-GL 2023   IEEE Transactions on Neural Networks and Learning Systems Special Issue on Graph Learning