Call for Tutorial Proposals
** IMPORTANT NOTE **
Due to concerns about COVID-19, RecSys 2020 will cancel its physical component
and go fully virtual. To support authors through these stressful times,
deadlines are extended.
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 June 8th, 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 acmtexsupp...@aptaracorp.com 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: June 8th, 2020
* Tutorial proposal notification: July 6th, 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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