[Air-L] [Call for Papers] ACM WSDM 2022

[Ugur Kursuncu]

Call for Papers: WSDM 2022 - International Conference on Web Search and
Data Mining

Deadline: August 9, 2021

Notifications: October 11, 2021

Website: http://www.wsdm-conference.org/2022/

The 15th ACM International WSDM Conference will be held in Phoenix,
Arizona, USA, between February 21 and 25, 2022.

WSDM is a highly selective conference that includes refereed, original and
high-quality papers related to search and data mining on the Web and the
Social Web, with an emphasis on practical yet principled approaches.
Original papers emphasizing novel algorithmic approaches are particularly
encouraged. Application-oriented papers that make innovative technical
contributions to research are welcome. Visionary papers on new and emerging
topics are particularly encouraged.

Topics: (WSDM proceedings are published in the ACM Digital Library)


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   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; Query
analysis and
      query processing; Search benchmarking and evaluation; Search
user behavior
      and log analysis.
      -

   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 and 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, recommendation 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.
      -

   Web-Based Health Applications:
   -

      Public health techniques on the Web; Healthcare delivery on the Web;
      Personal health on the Web; Web-based mental health and
well-being support.



For more information, please visit http://www.wsdm-conference.org/2022/