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Yong Zheng <[log in to unmask]>
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Yong Zheng <[log in to unmask]>
Wed, 30 May 2018 12:00:30 -0500
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 *** Please forward to anyone who might be interested ***
                   Call for Papers: ACM RecSys 2018
                                to be held in
                  Vancouver, Canada, 2nd-7th October 2018
Call for Tutorials

RecSys 2018 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 recommender systems or to specific 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),
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, and/or
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
Sensors and recommender systems (including mobile recommender systems and
Intersections of recommender systems with other domains (e.g., information
retrieval, machine learning, human computer interaction, or databases).
This year we are experimenting with tutorials of variable length. You can
choose to propose a regular tutorial of around 90 minutes, or suggest a
half-day or full-day course. 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.

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.

You can get an idea for the interest of the RecSys community in different
topics in the following survey carried out in RecSys 2017. You can still
vote for the topics you would like to see this year.

The tutorial proposal should be a PDF document no more than 2 pages long,
submitted by e-mail to [log in to unmask] and organized as

Tutorial title.
Tutorial length (tutorials are mostly 90 minutes, but we will consider
half-day or full-day tutorials).
Motivation for proposing this tutorial (why is it important for RecSys).
Name, email address, and affiliation of tutorial instructor(s). Each listed
presenter must present in person at the conference.
Detailed bulleted outline of the tutorial (this point should take the most
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 presenter(s).
List of relevant publications by the presenter(s).
The following elements are not mandatory for the proposal, but encouraged:

A short explanation of relationship of the tutorial proposal to “trends” at
past RecSys conferences.
A 2-minute video where the presenters introduce themselves and pitch their
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) that will be used during the course, if
Tutorial proposals will be reviewed according to: ability of the tutorial to
contribute to strengthening the foundations of recommender system research,
or to broadening the field to look at important new challenges and
techniques, experience and skill of the presenter(s), and the value of any
materials released with the tutorial for the community.

Tutorial proposal submission deadline: June 4th (extended deadline)
Tutorial proposal notification: June 16th, 2018
Camera-ready tutorial summary deadline: August 6th, 2018
Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.

Bart Knijnenburg, Clemson University, USA
Sandra Garcia, Schibsted Media Group, Spain

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