CIKM 2021

CIKM 2021
30th ACM International Conference on Information and Knowledge Management
Ordinal	30
Event in series	CIKM
Dates	2021/11/01 (iCal) - 2021/11/05
Homepage:	https://www.cikm2021.org/
Twitter account:	@CIKM2021
Submitting link:	https://easychair.org/conferences/?conf=cikm2021
Location
Location:	Gold Coast, Queensland, Australia
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Important dates
Workshops:	2021/04/21
Tutorials:	2021/06/30
Abstracts:	2021/05/19
Papers:	2021/05/26
Demos:	2021/06/16
Notification:	2021/08/09
Camera ready due:	2021/08/23
Subevents: IWILDS 2021
Table of Contents
Tweets by @CIKM2021
Tweets by {{{Twitter account}}}

CIKM 2021: The 30th ACM International Conference on Information and Knowledge Management

Call for Full Papers

https://easychair.org/conferences/?conf=cikm2021

The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2021 will take place online in a lively and interactive manner.

AUTHORS TAKE NOTE: 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 your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.)

Key Dates

Full Paper Abstract Submission:

   May 19, 2021 (anywhere in the world)

Full Paper Submission Deadline:

   May 26, 2021 (anywhere in the world)

Acceptance Notification:

  August 9, 2021 (anywhere in the world)

Final Version Submission:

  Aug 23, 2021 (anywhere in the world)

Topics of Interest

We encourage submissions of high-quality research papers on all topics in the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas:

• Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling)

• Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information credibility)

• Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware)

• Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data)

• Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability)

• Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction)

• Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems)

• Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces)

• Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices)

• Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices)

• Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations)

• Data presentation (e.g., visualization, summarization, readability, VR, speech input/output)

• Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media)

Paper Submissions

Authors are invited to submit original, unpublished full-length research papers that are not previously published, accepted to be published, or being considered for publication in any other forum. Full-length papers should satisfy the standard requirements of top-tier international research conferences.

Manuscripts should be submitted to CIKM’21’s Easychair site in PDF format, using the ACM sigconf template, see https://www.acm.org/publications/proceedings-template. Full papers cannot exceed 9 pages plus unlimited references. Rejected full papers will not be considered for publication as short papers. Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review. At least one author of each accepted paper must register to present the work as scheduled in the conference program, and may include both oral presentation and poster sessions. Additional details for running the online conference will be published on the website shown above.

Dual Submission Policy

It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences. Such submissions violate our dual submission policy. There are several exceptions to this rule:

• Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published.

• Submission is permitted for papers that have previously been made available as a technical report (or similar, e.g., in arXiv). In this case, the authors should not cite the report, so as to preserve anonymity.

PC Chair Contact Information

For more information, contact the appropriate PC chairs: Full Paper Track Email: cikm2021-full@easychair.org

J. Shane Culpepper, RMIT University, Australia Helen Huang, The University of Queensland, Australia Hanghang Tong, University of Illinois at Urbana-Champaign, USA

Call for Short Papers

The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2021 will take place online in a lively and interactive manner.

AUTHORS TAKE NOTE: 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 your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.)

Key Dates

Short Paper Abstract Submission:

   June 2, 2021 (anywhere in the world)

Short Paper Submission Deadline:

   June 9, 2021 (anywhere in the world)

Acceptance Notification:

  August 9, 2021 (anywhere in the world)

Final Version Submission:

  Aug 23, 2021 (anywhere in the world)

Topics of Interest

We encourage submissions of high quality research papers on all topics in the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas:

• Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling)

• Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information

 credibility)

• Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware)

• Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data)

• Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability)

• Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction)

• Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems)

• Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces)

• Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices)

• Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices)

• Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations)

• Data presentation (e.g., visualization, summarization, readability, VR, speech input/output)

• Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media)

Paper Submissions

Authors are invited to submit original short papers that have not been previously published, and are not being considered for publication in any other forum. Short papers should describe ongoing work, recent insights, or summaries of significant research, that address research problems targeting top-tier research venues. Short papers should be particularly well suited to poster presentation. Manuscripts should be submitted electronically, as PDF formatted using the ACM sigconf template, see https://www.acm.org/publications/proceedings-template, with the author names removed to conform with double-blind submission requirements. Papers should be 4 pages in length plus unlimited references. Papers should be submitted through the CIKM 2021 online submission system, choosing the “Short Research Paper Track” option.

Dual Submission Policy

It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences. Such submissions violate our dual submission policy. There are several exceptions to this rule:

• Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published.

• Submission is permitted for papers that have previously been made available as a technical report (or similar, e.g., in arXiv). In this case, the authors should not cite the report, so as to preserve anonymity.

PC Chair Contact Information

For more information, contact the appropriate PC chairs: Short Paper Track Email: cikm2021-short@easychair.org

Krisztian Baalog, University of Stavanger, Norway Louiqa Raschid, University of Maryland, USA Lina Yao, University of New South Wales, Australia

Call for Applied Papers

The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2021 will take place online in a lively and interactive manner.

The Applied Research Track aims at attracting submissions from both industry and academia that either solve or advance the understanding of issues related to deploying AI, IR and big data technologies as part of actual applications.

The Applied Research Track is distinct from the Research Track in that submissions focus on applied work describing e.g. the implementation of a system, the acquisition of data, or the application of a methodology, that solves a significant real-world problem and demonstrates benefits as well as impact. Submissions must clearly describe how their work has been deployed or released, and for how long.

AUTHORS TAKE NOTE: 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 your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.)

Key Dates

Applied Paper Abstract Submission:

   May 19, 2021 (anywhere in the world)

Applied Paper Submission Deadline:

   May 26, 2021 (anywhere in the world)

Acceptance Notification:

  August 9, 2021 (anywhere in the world)

Final Version Submission:

  Aug 23, 2021 (anywhere in the world)

Topics of Interest

We encourage submissions in the same area of relevance as the CIKM2021 Research Track (http://www.cikm2021.org/cfp/full-papers), but that describe applied and in-use work, with evidence of a system launch, data release, or other application. The areas of interest include:

• Business Intelligence (e.g., Advertising and E-commerce, Finance, Marketing and Crowds, Recommender systems, Gig Economy)

• Social Networks (e.g., Crowdsourcing, Network sciences, Social media and publishing, Social sciences, User modeling, Web mining)

• Social Good and Fairness (e.g. Fair and Inclusive Systems, Humanitarian Crisis Support, Emergency Detection, Citizen Participation)

• Knowledge Diffusion (e.g. Monitoring Disinformation, Data Journalism, Fact-checking, Bibliometrics)

• Healthcare and Bioinformatics (e.g., Clinical Decision Support, Clinical Research, Healthcare and Caregiving, Patient Empowerment, Genomic applications)

• Computing Infrastructures (e.g., Big Data infrastructures Cloud，Map-Reduce, MPI, Data protection, Design of experiments, Interpretable models, Large-scale optimization, Scalable algorithms)

• Data Quality and its impact on systems (for AI, DBMS, Web, etc.)

• Emerging Applications (e.g., AI in Education, Internet of Things, Cyber Security, Intelligent Transportation)

Paper Submissions

Authors are invited to submit original applied research results that have not been previously published, are not accepted to be published, and are not currently being considered for publication in any other conference or journal. Submissions do not need to be double-blind, i.e., authors’ names and affiliations can be included in the submission if desired, but they are not required. Manuscripts should be submitted electronically, as PDF files of max 9 pages plus unlimited references, formatted using the ACM camera-ready templates, using the double column template “sig-conf”. Papers should be submitted through the CIKM 2021 online submission system using the “Applied Research Track”. To facilitate review, each paper should provide the topics that it belongs to.

Dual Submission Policy

It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences. Such submissions violate our dual submission policy. There are several exceptions to this rule:

• Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published.
• Submission is permitted for papers that have previously been made available as a technical report (or similar, e.g., in arXiv). In this case, the authors should not cite the report, so as to preserve anonymity.

PC Chair Contact Information

For more information, contact the appropriate PC chairs: Applied Paper Track Email: cikm2021-applied@easychair.org

Miriam Redi, Wikimedia Foundation, USA Chris Welty, Google Research, USA

Call for Resource Papers

The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2021 will take place online in a lively and interactive manner.

CIKM recognises the importance of publicly available scientific resources, such as datasets, evaluation benchmarks, tools or libraries as a necessary and important prerequisite for fostering research in core CIKM areas.

The Resources Track seeks submissions from both academia and industry that describe resources available to the community. Resources include, but are not restricted to, information retrieval test collections, labelled datasets for machine learning, and software tools and services. Furthermore, we also seek papers describing original research on building datasets and resources for broad use as well as the lessons learnt in doing this.

An ideal resource track paper will fit into one or more of the following categories:

• Describing a new and innovative dataset or protocol
• To support research on novel application domains;
• To support novel evaluation tasks;
• Created using novel methods and/or algorithms;
• Labeled using novel and well-described annotation and/or crowdsourcing approaches;
• Reusable research prototypes and services;
• Open software frameworks, tools and libraries which support tasks and evaluation in data science, data engineering or information & knowledge management.

Historically, CIKM has published research in all of these areas. The goal of the Resource Track is to highlight artifacts of CIKM research and the process of making those artifacts available to the community. It is expected that at the time of submission the described resource will be available under reasonably liberal terms and sufficiently well-documented such that reviewers may consult that documentation as they conduct their reviews. (This of course means that reviews will be single-blind for this track.) AUTHORS TAKE NOTE: 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 your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.)

Key Dates

Paper Submission Deadline:

   June 16, 2021 (anywhere in the world)

Acceptance Notification:

  August 9, 2021 (anywhere in the world)

Final Version Submission:

  Aug 23, 2021 (anywhere in the world)

Topics of Interest

We encourage submissions of high-quality research papers on all topics in the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas:

• Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling)

• Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information

 credibility)

• Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware)

• Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data)

• Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability)

• Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction)

• Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems)

• Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces)

• Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices)

• Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices)

• Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations)

• Data presentation (e.g., visualization, summarization, readability, VR, speech input/output)

• Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media)

Paper Submissions

Resource track papers should not exceed 9 pages plus unlimited references, using the ACM sigconf template, see https://www.acm.org/publications/proceedings-template. Papers should include a description of the resource, an illustration of the use case(s) for the resource, explain its utility, reusability and novelty, and focus on anticipating and answering questions that CIKM reviewers and readers are likely to ask, as laid out in the review criteria below. It is expected that papers describing datasets clearly explain how the data was collected, all stages of processing from the source to the resulting dataset, and assumptions and risks presented by the collection and/or labeling strategy. The resource paper review process is single-blind, which means that reviewers are aware of the names and affiliations of paper authors. Therefore, unlike other paper tracks in CIKM 2021, there is no need to hide author information in the submission.

Papers should be submitted through the CIKM online submission system, using the “Resource Track”.

Accepted resources track papers will be published within the official CIKM2021 proceedings as part of the ACM digital library.

Ethics

Resources are expected to be available as described, where “available” means that most researchers in our community could obtain and make use of the resource without strongly limiting the research they can perform with it. Datasets are expected to be collected in accordance with institutional review board standards and ACM standards of ethics. Reviewers are instructed to not use their reviews as an advocacy platform for these issues, but to do what they can to help authors bring their resources to fruition.

Review Criteria

Novelty

• What is new about this resource?
• Does the resource represent an incremental advance or something more dramatic?

Availability

• Is the resource available to the reviewer at the time of review?
• Are there discrepancies between what is described and what is available?
• Are the licensing/terms of use sufficiently open as to allow most academic and industry researchers access to the resource?
• If the resource is data collected from people, do appropriate human subjects control board procedures appear to have been followed?

Utility

• Is the resource well documented? What level of expertise do you expect is required to make use of the resource?
• Are there tutorials or examples? Do they resemble actual uses or are they toy examples?
• If the resource is data, are appropriate tools provided for loading that data?
• If the resource is data, are the provenance (source, preprocessing, cleaning, aggregation) stages clearly documented?

Predicted Impact

• What CIKM research activity is enabled by the availability of this resource?
• Does the resource advance a well-established research area or a brand new one?
• Do you expect that this resource will be useful for a long time, or will it need to be curated or updated? If the latter, is that planned?
• How large is the (anticipated) research user community? Will that grow or shrink in the next few years?

Dual Submission Policy

It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences. Such submissions violate our dual submission policy. There are several exceptions to this rule:

• Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published.

• Submission is permitted for papers that have previously been made available as a technical report (or similar, e.g., in arXiv). In this case, the authors should not cite the report, so as to preserve anonymity.

It is also NOT permitted to double submit the content to both resource track and other track(s) of CIKM 2021 (e.g. a resource paper for building Dataset A and a full paper containing the construction process of Dataset A in the experiment section).

PC Chair Contact Information

For more information, contact the appropriate PC chairs: Resource Paper Track Email: cikm2021-resource@easychair.org

Nicola Ferro, University of Padua, Italy Zhenhui Jessie Li, Pennsylvania State University, USA

ACM Policy Against Discrimination

All authors and participants must adhere to the ACM discrimination policy. For full details, please visit this site:

https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/policy-against-discrimination-and-harassment