Edit Event: CIKM 2021

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= 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 == Call for Demonstration 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 === Resource & Demo Papers Deadline: 16 Jun 2021 (anywhere in the world) Papers Notifications: 9 Aug 2021 (anywhere in the world) Camera Ready Deadline: 23 Aug 2021 (anywhere in the world) === Topics of Interest === We seek demonstrations that showcase exciting new technologies and early prototypes within the scope of CIKM, as well as case studies from more mature systems with innovative features and functionalities. We welcome submissions on all topics in the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. === Paper Submissions === Demo papers should describe the intended audience, point out the innovative aspects of the system being presented, and explain how those aspects contribute to the state of the art in knowledge, data, and information management. The submissions must also make clear what the audience will experience during the demo, what kind of functionality is supported, user scenarios, interface and interaction options provided, and how it is compared with existing systems (if any). Submissions that are case studies should also explain the case being demonstrated. Authors may also include a URL of a screencast video (up to 10 minutes), screenshots, and additional external material (e.g., shared code on GitHub). A demo paper must be no more than 4 pages long, plus unlimited references. 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. At least one author of each accepted paper must register to present the work as scheduled in the conference program. Additional details for running the online conference will be published on the website shown above. The review of the demo papers will be single-blind. All submissions will be reviewed by the Program Committee of the demos track, who will evaluate the novelty of the technical features and/or research being presented, the research and/or development challenges, its expected impact, and its timeliness and relevance for the CIKM audience of practitioners and researchers. Demo papers that describe case studies from mature systems will also be evaluated on the relevance of the system and innovative features and functionalities that are being included in the demonstration. Accepted demo papers will be part of the main conference proceedings. === 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. === Demo Chair Contact Information === For more information, contact the appropriate chairs: Demo Track Email: cikm2021-demo@easychair.org Zhifeng Bao, RMIT University, Australia Julia Kiseleva, Microsoft Research, USA == Call for Tutorials == 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 on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM 2021 will take place online in a lively and interactive manner. CIKM 2021 will host tutorials covering topics of interest for the CIKM community. Half-day and full-day tutorials that are of interest for the research community will take place before the main conference. CIKM 2021 will be a fully virtual conference, with no travel involved. Tutorial presentations will be given through live webinars with synchronized online discussions. We encourage proposals for both half- and full-day tutorials from active researchers and experienced tutors. Ideally, a tutorial is on a specific topic of interest and will provide a self-contained overview of a topic and then cover the state of the art research and developments on the topic of interest. The general areas include artificial intelligence, data science, databases, information retrieval, knowledge management, and other topics of relevance for the CIKM community. CIKM 2021 will provide free registration for at least one tutorial organizer. Please consider the submission guidelines shown below. 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.) === Submission Guidelines === Each tutorial proposal must include the following information: * Title of the tutorial * Length (either half-day, i.e., 3 hours plus breaks; or full day, i.e., 6 hours plus breaks) * Abstract of up to 150 words * Target audience, prerequisites, and benefits. Proposals must clearly identify the intended audience for the tutorial (e.g., novice users of statistical techniques, versus expert researchers in text mining). What background will be required of the audience? Why is this topic important and interesting to the CIKM community? What is the benefit to participants? * Outline of the tutorial. Enough material should be included to provide a sense of both the scope of material to be covered and the depth to which it will be covered. The more details that can be provided, the better (up to and including links to the actual slides). Presenters should not focus exclusively on their own research results – a CIKM tutorial is not meant to be a forum for promoting one’s own research or product. * A list of the most important references that will be covered in the tutorial. * A list of forums, dates, and locations where this or a closely related tutorial has been presented before. Please highlight the similarities and differences between previous related tutorials, and the one proposed for CIKM 2021, using up to 150 words for each. * A short bio for each presenter, including their expertise related to the tutorial. Please do not exceed 200 words per presenter. * (Optional) URLs of the slides/notes of the previous presentations of this tutorial by the current set of authors. * Any specific audio, video, or computer requirements for presenting the tutorial. * The length of the whole proposal should be limited to 4 pages in ACM sigconf template, see https://www.acm.org/publications/proceedings-template. Please submit your tutorial proposal as a PDF file, choosing the “tutorial track” on the CIKM 2021 online submission system. === Key Dates === Tutorial proposal deadline: June 30, 2021 (anywhere in the world) Tutorial proposal notification: August 9, 2021 (anywhere in the world) Final camera ready: August 23, 2021 (anywhere in the world) === Tutorial Chair Contact Information === For more information, contact the appropriate Tutorial chairs: Tutorials Track Email: cikm2021-tutorial@easychair.org Mohamed Sharaf, United Arab Emirates University, UAE Min Zhang, Tsinghua University, China == 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

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