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活动简介

WSDM (pronounced "wisdom") is one of the premier conferences on web-inspired research involving search and data mining. The 12th ACM International WSDM Conference will take place in Melbourne, Australia during Feb. 11-15, 2019. 

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.  

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 also welcome.

征稿信息

重要日期

2018-08-08
摘要截稿日期
2018-09-04
初稿截稿日期
2018-08-15
终稿截稿日期

Adversarial search 

  • Algorithms and systems for Web-scale search 

  • Audio and touch interfaces to search 

  • Distributed search, metasearch, peer-to-peer search 

  • Indexing web content  

  • Local and mobile search 

  • Multimedia Web search 

  • Query analysis and query processing 

  • Search benchmarking and evaluation 

  • Search user behavior and log analysis 

  • Search user interfaces and interaction 

  • Searching social and real-time content 

  • Semantic search, faceted search, and knowledge graphs 

  • Sponsored search 

  • Task-driven search 

  • Vertical portals and search 

  • Voice search, conversational search, and dialog in search 

  • Web crawling 

  • Zero-query and implicit search 

Web Mining 

  • Algorithms and systems for Web-scale mining 

  • Clustering, classification, and summarization of Web data 

  • Data, entity, event, and relationship extraction 

  • Data extraction, integration and cleaning 

  • Discovery-driven Web and social network mining 

  • Geo and location data analysis 

  • Knowledge acquisition and automatic construction of knowledge bases 

  • Large-scale graph analysis 

  • Modeling trustworthiness and reliability of online information 

  • Multimodal data mining 

  • NLP for Web mining 

  • Online and streaming algorithms for Web data 

  • Opinion mining and sentiment analysis 

  • Web traffic and log analysis 

  • Web measurements, web evolution and web models 

  • Web recommender systems and algorithms 

  • Mobile Mining 

  • Neural architectures for Web search and mining 

  • Web search and data mining under privacy constraints 

Social Search, Mining and Other Applications 

  • Personal assistants, dialogue models, and conversational interaction 

  • Collaborative search and question answering 

  • Social network dynamics 

  • Human computation and crowdsourcing 

  • Influence and viral marketing in social networks 

  • Instant messaging and social networks 

  • Link prediction and community detection 

  • Location-based social networks 

  • Searching and mining crowd-generated data and collaboratively generated content 

  • Sampling, experiments, and evaluation in social networks 

  • Social media analysis: blogs and friendship networks 

  • Social network analysis, theories, models and applications 

  • Social reputation, influence, and trust 

  • Social tagging  

  • User activity modeling and exploitation 

  • Interpretable models of individual and social behavior 

作者指南

Submissions must represent new and original work. Concurrent submissions are not allowed. Papers that have been published in or accepted to any peer-reviewed journal or conference/workshop with published proceedings, or that are currently under review, or that will be submitted to other meetings or publications while under review may not be submitted to WSDM 2019. However, submissions that are available online and/or have been previously presented orally or as posters in venues with no formal proceedings, are allowed. Note that if available online (e.g., via arXiv) and not anonymous, their titles and abstract must be sufficiently different from the WSDM submission in order to limit the risk that a direct search breaks the double blind reviewing procedure. Additionally, the ACM has a strict policy against plagiarism and self-plagiarism. All prior work must be appropriately cited.

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重要日期
  • 会议日期

    02月11日

    2019

    02月15日

    2019

  • 08月08日 2018

    摘要截稿日期

  • 08月15日 2018

    终稿截稿日期

  • 09月04日 2018

    初稿截稿日期

  • 02月15日 2019

    注册截止日期

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