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Flavio Figueiredo <[log in to unmask]>
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Sun, 8 Mar 2020 16:37:03 +0000
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RecSys 2020 is pleased to invite proposals for tutorials to be given in conjunction with the conference. The goal of the tutorials is to provide conference attendees, including early-career researchers and researchers crossing-over from related disciplines, with an opportunity to learn about recommender system concepts and techniques. Tutorials also serve as a venue to share presenters' expertise with the global community of recommender system researchers and practitioners. Tutorials focus on specific topics including, but not limited to:
   * Introductions to specific recommender systems techniques (e.g., deep learning, feature engineering, tensorflow)
   * Evaluation of recommender systems (e.g., system-centric and user-centric evaluation, experimentation)
   * Context-aware (including location-based) recommender systems
   * Designing user experiences and interactions (e.g., virtual assistants, chatbots, etc.)
   * Using different types of data (semantic web, graphs) and media (text, images, video, speech) for building recommendations
   * Ethical and legal aspects of recommender systems (e.g., privacy, fairness, accountability, transparency, and control of bias)
   * Recommender systems facing real-world challenges (e.g., large-scale recommender systems or stream-based recommendation)
   * Building and deploying recommender systems in specific domains (e.g., music, tourism, education, TV/video, jobs, enterprise, health, fashion)
   * Recommender systems supporting decision making
   * Recommendation for groups, tasks, or situations, including intent-aware recommender systems
   * Eliciting and learning user preferences
   * Recommender systems that take users' emotional state, physical state, personality, trust, level of expertise, and/or cognitive readiness into account
   * Sensors and recommender systems (including mobile recommender systems and wearables)
   * Intersections of recommender systems with other domains (e.g., information retrieval, machine learning, human computer interaction, or databases)
   * Recommender systems in new domains, such as e-government, smart cities and energy

The length of your proposed tutorial should be commensurate with the presented materials and the projected interest of the RecSys community in the tutorial topic. We may work with accepted tutorial presenters to adjust the length of the tutorial, considering that tutorials may use up to two 90-minute slots, i.e. the length of the tutorials will be either 90 or 180 minutes.

We actively encourage both researchers and industry practitioners to submit tutorial proposals that target different levels of expertise and different interests. We also encourage the submission of hands-on tutorials, for instance through the use of notebooks that combine theoretical concepts with practical exercises.

SUBMISSION GUIDELINES

All submissions and reviews will be handled electronically. Tutorial proposals must be submitted to PCS by 23:59, AoE (Anywhere on Earth) on May 25th, 2020. There will be no extensions to the submission deadline.

Formatting. ACM is changing the archive format of its publications to separate content from presentation in the new Digital Library, enhance accessibility, and improve the flexibility and resiliency of our publications. Following the new ACM publication workflow, all authors should submit manuscripts for review in a single-column format. The maximum length for tutorial proposals is 4 pages (excluding references) in the new single-column format. Instructions for Word and LaTeX authors are given below:

   * Microsoft Word: Write your submission using the Submission Template (Review Submission Format). Follow the embedded instructions to apply the paragraph styles to your various text elements. The text is in single-column format at this stage and no additional formatting is required at this point.
   * LaTeX: Please use the latest version of the Master Article Template - LaTeX to create your submission. You must use the "manuscript" option with the \documentclass[manuscript]{acmart} command to generate the output in a single-column format which is required for review. Please see the LaTeX documentation and ACM's LaTeX best practices guide for further instructions. To ensure 100% compatibility with The ACM Publishing System (TAPS), please restrict the use of packages to the whitelist of approved LaTeX packages.

Authors are strongly encouraged to provide "alt text" (alternative text) for floats (images, tables, etc.) in their content so that readers with disabilities can be given descriptive information for these floats that are important to the work. The descriptive text will be displayed in place of a float if the float cannot be loaded. This benefits the author as well as it broadens the reader base for the author's work. Moreover, the alt text provides in-depth float descriptions to search engine crawlers, which helps to properly index these floats.

Should you have any questions or issues going through the instructions above, please contact support at [log in to unmask] for both LaTeX and Microsoft Word inquiries.

The organizers of accepted tutorials will be invited to write a camera-ready summary of the tutorial. Tutorial summaries will be later submitted to ACM's new production platform where authors will be able to review PDF and HTML output formats before publication.

Contents. The tutorial proposal should be organized as follows:
   * Tutorial title.
   * Tutorial length.
   * Motivation for proposing this tutorial (why it is important for RecSys).
   * Name, email address, and affiliation of tutorial instructors (each listed instructor must present in person at the conference).
   * Detailed bulleted outline of the tutorial (this point should take the most space).
   * Targeted audience (introductory, intermediate, advanced) and prerequisite knowledge or skills.
   * Importance of the topic for the RecSys community.
   * Teaching experiences and history of prior tutorials by the presenters.
   * List of relevant publications by the presenters.

The following elements are not mandatory for the proposal, but encouraged:
   * A short explanation of the relationship of the tutorial proposal to "trends" at past RecSys conferences.
   * A 2-minute video where the presenters introduce themselves and pitch their tutorial
   * Statement that the materials (slides, readings, and/or code) used/mentioned in the tutorial will be publicly available after the tutorial.
   * Notebooks (e.g., iPython or Jupyter) or other interactive code that will be used during the tutorial, if any.

EVALUATION CRITERIA

Tutorial proposals will be reviewed according to: ability of the tutorial to contribute to strengthening the foundations of recommender system research, or to broaden the field to look at important new challenges and techniques, experience and skill of the presenters, and the value of any materials released with the tutorial for the community.

IMPORTANT DATES

   * Tutorial proposal submission deadline: May 25th, 2020
   * Tutorial proposal notification: June 8th, 2020
   * Camera-ready tutorial summary deadline: July 27th, 2020

Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.

TUTORIAL CHAIRS
   * Christoph Trattner, University of Bergen, Norway
   * Anisio Lacerda, Universidade Federal de Minas Gerais, Brazil

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