International Conference on Web Search and Data Mining
摘要截稿:
全文截稿: 2023-08-10
开会时间: 2024-03-04
会议难度:
CCF分类: B类
会议地点: Mérida, México
Overview
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, cross-lingual 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; Fairness and interpretability in applications of web mining for social good.
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; Fairness and interpretability in applications of web mining for social good.
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 and Creative Applications
Mental health and well-being support systems; Web mining for social good; Systems and algorithms for urban applications such as smart cities/buildings/etc; Online education systems; Monitoring and prevention of epidemics.
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.
Foundation Models
Use of large-language models and other foundation models for web search and data mining, including but not limited to the following tasks: Indexing and query analysis; Pre-training and self-supervised learning for web-based tasks; Development of new user interfaces and user experiences; Support to information integrity.