[DL] [CFP] ExUM Workshop @UMAP 2025 - Call For Papers - *** DEADLINE APRIL, 11, 2025 ***

[Marco Polignano]

*** Apologies for cross postings ***


*ExUM Workshop @UMAP 2025 - Call For Papers - *** DEADLINE APRIL, 11, 
2025 ***
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Workshop on Explainable User Models and Personalised Systems (ExUM at UMAP 
2025)
co-located with UMAP 2025 (http://www.um.org/umap2025) - 33st ACM 
Conference on User Modeling, Adaptation and Personalization, June 16-19, 
2025 | New York (USA)

Twitter: https://x.com/ExUM_Workshop
Web: https://swap.di.uniba.it/exum/index.html

For any information: marco.polignano at uniba.it, cataldo.musto at uniba.it

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IMPORTANT DATES
=================

* Submission Deadline: April 11, 2025
* Notification: April 28, 2025
* Workshop Papers Camera-ready Submission (TAPS system): May 5, 2025

Please note: All deadlines refer to 11:59 pm AoE (Anywhere on Earth) time.

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

Adaptive and personalized systems, including Large Language Models 
(LLMs) have rapidly emerged as transformative technologies, deeply 
integrated into various aspects of modern life. From conversational 
agents that provide human-like interactions to recommendation algorithms 
that curate personalized content such as music, movies, or products, 
these systems are reshaping how individuals interact with digital 
platforms. As their influence grows in supporting decision-making, 
content delivery, and user engagement, it becomes increasingly important 
to address key issues such as transparency, fairness, and user trust. 
Frameworks like the EU General Data Protection Regulation (GDPR) and EU 
AI-Act have highlighted the 'right to explanation,' underscoring the 
need for users to understand the mechanisms driving these intelligent 
systems. Despite that, a significant portion of research in these fields 
has been geared toward maximizing performance, i.e., improving the 
relevance of the results of personalized systems, often at the expense 
of explainability. This trade-off risks eroding user trust and poses 
problems of compliance with ethical and regulatory standards. This 
initiative aims to create a forum for discussing the pressing 
challenges, innovative methodologies, and future directions in exploring 
how transparency, explainability, and user-centric design can be 
incorporated into these technologies to make them not only effective but 
also trustworthy, ethical, and aligned with the diverse needs and 
expectations of their users.

======
TOPICS
======
Topics of interest 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
o   Transparent Personalization and Adaptation to Groups of users

∑ TRANSPARENT PERSONALIZATION BASED ON LARGE LANGUAGE MODELS

∑ 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, deep learning 
approaches)
o   Explanation algorithms based on methods to build group models

∑ DESIGNING TRANSPARENT AND EXPLAINABLE USER INTERFACES
o   Transparent User Interfaces
o   Designing Transparent Interaction methodologies
o   Novel paradigms (e.g. chatbots, LLMs) 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 / group 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 contributions investigating novel 
methodologies to exploit heterogeneous personal data and approaches to 
build transparent and scrutable user models. In particular, we accept 
three kinds of submissions:

(A) Regular papers (max. 8 pages + references - double-column ACM format);
(B) Short papers (max. 4 pages + references - double-column ACM format);
(C) Ongoing projects, Demo, Position and Perspective Papers (max. 2 
pages + references - double-column ACM format);

Submission site: https://easychair.org/my/conference?conf=umap2025
During the submission process select “ExUM - 7th Workshop on Explainable 
User Models and Personalised Systems”.

All submitted papers will be evaluated by at least two members of the 
program committee, based on originality, significance, relevance, and 
technical quality. Note that the references do not count toward page 
limits. Submissions should be single-blinded, i.e. authors’ names should 
be included in the submissions. Papers must be formatted according to 
the new workflow for ACM publications. All accepted papers will be 
published by ACM as a joint volume of Extended UMAP 2025 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.

The templates and instructions are available here: 
https://authors.acm.org/proceedings/production-information/taps-production-workflow

* LaTeX (use \documentclass[manuscript, review]{acmart} in the 
sample-sigconf-authordraft.tex file for double-column format):
https://portalparts.acm.org/hippo/latex_templates/acmart-primary.zip

* Overleaf (use \documentclass[manuscript, review]{acmart} in the 
sample-sigconf-authordraft.tex file for double-column format):
https://www.overleaf.com/gallery/tagged/acm-official#.WOuOk2e1taQ

* MS Word:
https://authors.acm.org/proceedings/production-information/preparing-your-article-with-microsoft-word


=============
ORGANIZATION
=============
Cataldo Musto - University of Bari, Italy
Marco Polignano - University of Bari, Italy
Amon Rapp – University of Torino, Italy
Giovanni Semeraro - University of Bari, Italy
Juergen Ziegler - University of Duisburg Essen

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PROGRAM COMMITTEE
=============
Francesco Barile, Maastricht University
Pierpaolo Basile, University of Bari Aldo Moro
Veronika Bogina, Tel Aviv University
Ludovico Boratto, University of Cagliari
Gaetano Dibenedetto, University of Bari Aldo Moro
Michael Ekstrand, Drexel University
Angelo Geninatti Cossatin, Università degli Studi di Torino
Dietmar Jannach, University of Klagenfurt
Bart Knijnenburg, Clemson University
Arun Balajiee Lekshmi Narayanan, University of Pittsburgh
Marco Levantesi, Otto-von-Guericke-Universität Magdeburg
Benedikt Loepp, Fraunhofer IMS
Noemi Mauro, University of Torino
Alessandro Petruzzelli, University of Bari Aldo Moro
Mario Alfonso Prado Romero, Gran Sasso Science Institute (GSSI)
Erasmo Purificato, Joint Research Centre, European Commission
Giuseppe Sansonetti, Roma Tre University
Lucia Siciliani, Dipartimento di Informatica - University of Bari Aldo Moro
Alain D. Starke, University of Amsterdam
Kathrin Wardatzky, University of Zurich