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Cataldo Musto <[log in to unmask]>
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Cataldo Musto <[log in to unmask]>
Date:
Thu, 27 Feb 2020 17:31:51 +0100
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*** 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 –
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, Jönköping 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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