Conference Information
WSDM 2018 : International Conference on Web Search and Data Mining
Submission Date:
Notification Date:
Conference Date:
Los Angeles, California, USA
CCF: b   CORE: a*   QUALIS: b1   Viewed: 16306   Tracked: 73   Attend: 6

Conference Location
Call For Papers
WSDM (pronounced "wisdom") is one of the premier conferences on web inspired research involving search and data mining. The 11th ACM International WSDM Conference will take place in Los Angeles, CA during Feb. 5-9, 2018.

WSDM is a highly selective, single track meeting 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.

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.

Topics covered include but are not limited to:

Web Search

    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 search
    Mobile search
    Multimedia Web search
    Query analysis and query processing
    Retrieval and ranking
    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
    Bridging unstructured and structured data
    Clustering, classification, and summarization of Web data
    Data, entity, event, and relationship extraction
    Data integration and data 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
    Opinion mining and sentiment analysis
    Web traffic and log analysis
    Web measurements, web evolution and web models
    Web recommender systems and algorithms
    Mobile Mining 

Social Search, Mining and Applications

    Collaborative search and question answering
    Dynamics of social networks
    Human computation and crowdsourcing
    Influence spreading and viral marketing in social networks
    Instant messaging and social networks
    Link prediction and community detection
    Location-based social networks
    Mining crowd-generated data
    Sampling, experiments, and evaluation in social networks
    Searching social media and collaboratively generated content
    Social media analysis: blogs and friendship networks
    Social network analysis, theories, models, and applications
    Social reputation, influence, and trust
    Tags, users, and search
    User activity modeling and exploitation
    User profiling 

Finally, this year we also encourage submissions in the following areas:

    Machine learning and deep networks for web search and data mining
    Personal assistants, dialogue models and conversational interaction
    Web search and data mining under privacy constraints 

Authors are explicitly discouraged from submitting papers that do not clearly present their contribution with respect to previous works, that contain only incremental results, and that do not provide significant advances over existing approaches.

Originality of Submissions

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, are currently under review, or will be submitted to other meetings or publications while under review may not be submitted to WSDM 2018. Submissions that have been previously presented in venues with no formal proceedings or as posters are allowed, but must be so indicated on the first page of the submission. Additionally, the ACM has a strict policy against plagiarism and self-plagiarism. All prior work must be appropriately cited.


Papers must be submitted in PDF according to the new ACM format published in ACM guidelines, selecting the generic "sigconf" sample. Submissions should not exceed eight pages including any diagrams or appendices, plus up to one additional page of references. The PDF files must have all non-standard fonts embedded. Submissions must be self-contained and in English. After uploading your submission, please verify the copy stored on the easychair site. Submissions that do not follow these guidelines, or do not view or print properly, may be rejected without review.

PDF files submitted to WSDM 2018 must be double-blind: the submitted document should not include author information and should not include citations or discussion of related work that would make the authorship apparent. Note however, that it is acceptable to explicitly refer in the paper to the companies or organizations that provided datasets, hosted experiments or deployed solutions. In order words, instead of stating for instance that an experiment “was conducted on the logs of a major search engine”, the authors should refer to the search engine by name. The reviewers will be informed that it does not necessarily imply that the authors are currently affiliated with the mentioned organization. To support identification of reviewers with conflicts of interest, the full author list must be specified at submission time. In exceptional cases, the author list may be modified later with permission of the PC Chairs.

Review Process

Each paper will be reviewed by at least three PC members and a senior PC member. The acceptance decisions will take into account paper novelty, technical depth, elegance, practical or theoretic impact, and presentation. As an experiment this year, WSDM 2018 will use a combination of single-blind reviewing and double-blind reviewing.

Please contact the PC chairs at the address below for any questions on the submission or review process.


The algorithms, resources and methods used within a paper should be described as completely as possible. Authors may reference supplementary material, including detailed descriptions, test datasets or code. However, this information is not part of the submission proper, and will be read only at the discretion of the reviewers. Wherever appropriate, the authors are encouraged to use publicly available test collections and state-of-the-art baselines. Please consider sharing your intermediate/final experimental results and code with the research community.

Publication and Presentation

All accepted papers will be published in the ACM Digital Library. For every paper there must be a registered author to present it in person at WSDM 2018. At the conference, all the papers will be allocated a slot at the interactive poster session to encourage discussion. Additionally, selected papers will be presented during the plenary oral sessions as either long or short talks.
Last updated by Dou Sun in 2017-07-09
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