Conference Information
WSDM 2020: International Conference on Web Search and Data Mining
Submission Date:
2019-08-16 Extended
Notification Date:
Conference Date:
Houston, Texas, USA
CCF: b   CORE: a*   QUALIS: b1   Viewed: 37119   Tracked: 186   Attend: 19

Conference Location
Call For Papers
WSDM (pronounced "wisdom") is one of the premier conferences on web-inspired research involving search and data mining. The 13th ACM International WSDM Conference will take place in Houston, Texas from February 3-7, 2020.

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.

List of Topics

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 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

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.

Submission Guidelines

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, 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 2020. 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.


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 2020 must be prepared as 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 other 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. Only in exceptional cases will the PC Chairs grant permission for modifications to be made to the author list of a paper once it has been submitted and accepted.

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. WSDM 2020 will use a combination of single-blind reviewing and double-blind reviewing. The papers will be double-blind to regular PC members, but the metadata (including authorship) of the papers will be available to SPC to check for undisclosed conflicts of interest and to help assure the integrity of the review process. 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 2020. 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. Other presentation opportunities may also be provided upon acceptance, e.g. a brief video presentation.

Authors should note that the official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.

Conflict of Interest (COI) Policy

All authors must declare conflicts of interest.

What Consitutes a Conflict of Interest (COI)

You must declare a reviewer/author as a conflict of interest when the following associations exist:

    employment at the same institution or company, regardless of geography/location
    candidate for employment at the same institution or company
    received an honorarium, stipend, or grant from the institution or company within the last 12 months (except where of a modest nature, such as reimbursement of seminar expenses, honorarium for examination of a thesis, and so on).
    employment at the same institution or company in the last 12 months
    co-author on book or paper in the last 24 months
    co-principal investigator on a funded grant or research proposal in the last 24 months
    actively working on any project together
    family relationship
    close personal relationship
    graduate advisee/advisor relationship, regardless of time elapsed since graduation
    deep personal animosity

In general, we expect authors, PC, the organizing committee, and other volunteers to adhere to ACM’s Conflict of Interest Policy as well as the ACM’s Code of Ethics and Professional Conduct.

Violations of Originality, Dual Submission or Conflicts of Interest

Papers that are submitted which do not meet the length, formatting or originality requirements or are dually submitted to two venues (including papers with significant overlap) are subject to desk rejection without review. At the discretion of the PC Chairs and Steering Committee, egregious violations (including plagiarism) may lead to additional penalties such as a temporary or permanent ban from the venue and sponsoring SIGs venues. Likewise, failure of an author to disclose all COIs or of a referee providing a review on a paper for which they have an undisclosed COI, may lead to similar penalties. You are encouraged to contact the PC Chairs if you have questions as to the originality conditions, dual submission, or conflicts of interest policy. 
Last updated by Maxwell Nee in 2019-07-01
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