*** 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
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UMAP 2020 will proceed as planned July 14-17, but we will continue to monitor the evolving situation related to the coronavirus disease outbreak and potential impact on global travel. We wish to reassure that should a physical conference be unsafe or should people have travel limitations from Governments, the remote presentations/recordings will be possible.


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 maximize 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 algorithms, 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 of interests include but are not limited to:

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

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)

o	Transparent User Interfaces
o	Designing Transparent Interaction methodologies
o	Novel paradigms (e.g. chatbots) for building transparent models

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

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

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. 

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

Cataldo Musto - University of Bari, Italy 
Nava Tintarev - Delft University of Technology, The Netherlands
Oana 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

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
Eelco Herder, Radboud 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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