Call for Papers |
WSDM (pronounced “wisdom”) is one of the premier conferences on web-inspired research involving search and data mining. The 17th ACM International WSDM Conference will take place in Mérida, México (in-person conference with virtual elements). The conference will be held at the Centro Internacional de Congresos Yucatán from March 4th to March 8th 2024.
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. List of Topics 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. |
Summary |
WSDM 2024 : 17th ACM International Conference on Web Search and Data Mining will take place in Merida, Yucatan, Mexico. It’s a 5 days event starting on Mar 4, 2023 (Saturday) and will be winded up on Mar 8, 2023 (Wednesday). WSDM 2024 falls under the following areas: WEB SEARCH, DATA MINING, SOCIAL NETWORKS, INTELLIGENT ASSISTANTS, etc. Submissions for this Conference can be made by Aug 10, 2023. Authors can expect the result of submission by Oct 19, 2023. Upon acceptance, authors should submit the final version of the manuscript on or before Dec 7, 2023 to the official website of the Conference. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the WSDM 2024
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Credits and Sources |
[1] WSDM 2024 : 17th ACM International Conference on Web Search and Data Mining |