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Subject:

[CFP] International Workshop on Explainable User Models and Personalised Systems (ExUM) @UMAP 2020

From:

Marco Polignano <[log in to unmask]>

Reply-To:

Marco Polignano <[log in to unmask]>

Date:

Mon, 16 Mar 2020 16:09:12 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (168 lines)

*** Apologies for cross postings ***

ExUM Workshop @UMAP 2020 - CALL FOR PAPERS
----------------------------------------------------------------------
Workshop on Explainable User Models and Personalised Systems (ExUM@UMAP 
2020)
July 17, 2020

co-located with UMAP 2020 (http://www.um.org/umap2020) - Genova, Italy

Twitter: https://twitter.com/ExUM_Workshop
Web: http://www.di.uniba.it/~swap/exum
Submission: https://easychair.org/conferences/?conf=exum2020
For any information: [log in to unmask], [log in to unmask]

=========
ABSTRACT
=========

Adaptive and personalized systems have become pervasive technologies 
which are gradually playing an increasingly important role in our daily 
lives.
Indeed, we are now used to interact every day with algorithms that help 
us in several scenarios, ranging from services that suggest us music to be
listened to or movies to be watched, to personal assistants able to 
proactively support us in complex decision-making tasks.

As the importance of such technologies in our everyday lives grows, it 
is fundamental that the internal mechanisms that guide
these algorithms are as clear as possible. It is not by chance that the 
recent General Data Protection Regulation (GDPR) emphasized the
users' right to explanation when people face machine learning-based (or 
ñ more in general - artificial intelligence-based) systems. Unfortunately,
the current research tends to go in the opposite direction, since most 
of the approaches try to max-imize the effectiveness of the 
personalization strategy
(e.g., recommendation accuracy) at the expense of the explainability and 
the transparency of the model.

The main research questions which arise from this scenario is simple and 
straightforward: how can we deal with such a dichotomy between the need for
effective adaptive systems and the right to transparency and 
interpretability?

Several research lines are triggered by this question: building 
scrutable user models and transparent al-gorithms, analyzing the impact 
of opaque algorithms on
final users, studying the role of explanation strategies, investigating 
how to provide users with more control in the personalization and 
adaptation problems.

The workshop aims to provide a forum for discussing such problems, 
challenges and innovative re-search approaches in the area, by 
investigating the role of transparency
and explainability on the re-cent methodologies for building user models 
or for developing personalized and adaptive systems.


======
TOPICS
======
Topics of interests include but are not limited to:

∑    TRANSPARENT AND EXPLAINABLE PERSONALIZATION STRATEGIES
o    Scrutable User Models
o    Transparent User Profiling and Personal Data Extraction
o    Explainable Personalization and Adaptation Methodologies
o    Novel strategies (e.g., conversational recommender systems) for 
building transparent algorithms

∑    DESIGNING EXPLANATION ALGORITHMS
o    Explanation algorithms based on item description and item properties
o    Explanation algorithms based on user-generated content (e.g., reviews)
o    Explanation algorithms based on collaborative information
o    Building explanation algorithms for opaque personalization 
techniques (e.g., neural networks, matrix factorization)

∑    DESIGNING TRANSPARENT AND EXPLAINABLE USER INTERFACES
o    Transparent User Interfaces
o    Designing Transparent Interaction methodologies
o    Novel paradigms (e.g. chatbots) for building transparent models

∑    EVALUATING TRANSPARENCY AND EXPLAINABILITY
o    Evaluating Transparency in interaction or personalization
o    Evaluating Explainability of the algorithms
o    Designing User Studies for evaluating transparency and explainability
o    Novel metrics and experimental protocols

∑    OPEN ISSUES IN TRANSPARENT AND EXPLAINABLE USER MODELS AND 
PERSONALIZED SYSTEMS
o    Ethical issues (Fairness and Biases) in User Models and 
Personalized Systems
o    Privacy management of Personal and Social data
o    Discussing Recent Regulations (GDPR) and future directions


============
SUBMISSIONS
============
We encourage the submission of original contributions, investigating 
novel methodologies to exploit heterogeneous personal data and approach 
to build transparent and scrutable user models.

(A) Regular papers (from 4 to 6 pages + 1 reference - ACM format);
(B) Demo and Position Papers (max 2 pages + 1 reference - ACM format);

Submission site: https://easychair.org/conferences/?conf=exum2020

All submitted papers will be evaluated by at least two members of the 
program committee, based on originality, significance, relevance and 
technical quality.
Papers should be formatted according to the ACM SIG proceedings 
template: http://www.acm.org/publications/proceedings-template
Note that the references do not count towards page limits. Submissions 
should be single blinded, i.e. authors names should be included in the 
submissions.

Submissions must be made through the EasyChair conference system prior 
the specified deadline (all deadlines refer to GMT).
All accepted papers will be published by ACM as a joint volume of 
Extended UMAP 2020 Proceedings and will be available via the ACM Digital 
Library.
At least one author of each accepted paper must register for the 
particular workshop and present the paper there.


================
IMPORTANT DATES
===============
* Full paper submission: April 9, 2020
* Paper notification: April 30, 2020
* Camera-ready paper: May 6, 2020

=============
ORGANIZATION
=============
Cataldo Musto - University of Bari, Italy
Nava Tintarev - Delft University of Technology, The Netherlands
Oanal Inel -  Delft University of Technology, The Netherlands
Marco Polignano - University of Bari, Italy
Giovanni Semeraro - University of Bari, Italy
Juergen Ziegler - University of Duisburg Essen

=======================
PROGRAM COMMITEE (TBC)
=======================
Esma Aimeur, University of Montreal
Ludovico Boratto, Eurecom
Peter Brusilovsky, University of Pittsburg
Amra Delic, TU Wien
Michael Ekstrand, Boise State University
Eelco Herder, Radboud University Nijmegen
Bruce Ferwerda, Jˆnkˆping University
Fabio Gasparetti, Roma Tre University
Dietmar Jannach, University of Klagenfurt
Styliani Kleanthous, Open University of Cyprus
Bart Knijnenburg, Clemson University
Aonghus Lawlor, University College Dublin
Benedikt Loepp, University of Duisburg-Essen
Giuseppe Sansonetti, Roma Tre University
Panagiotis Symeonidis, Free University of Bolzano
Christoph Trattner, University of Bergen

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