PROGRAM

Conference Program Overview

26th June
Workshops & Tutorial Day
09.00 - 10.30
Session 1
10.30 - 11.00
Coffee Break
11.00 - 12.30
Session 2
12.30 - 14.00
Lunch
14.00 - 15.30
Session 3
15.30 - 16.00
Coffee Break
16.00 - 17.30
Session 4
27th June
Main Conference
09.00 - 10.30
Welcome & Keynote 1 - Elad Yomtov
10.30 - 11.00
Coffee Break
11.00 - 12.30
Papers
12.30 - 14.00
Lunch
14.00 - 15.30
Papers
15.30 - 16.00
Coffee Break
16.00 - 17.30
LBR/Demo & DC Madness Session
Welcome receptions & LBR/Demos
28th June
Main Conference
09.00 - 10.30
Keynote 2 - Jahna Otterbacher
10.30 - 11.00
Coffee Break
11.00 - 12.30
Papers
12.30 - 14.00
Lunch
14.00 - 15.30
DC
15.30 - 16.00
Coffee Break
16.00 - 17.30
Papers
Conference dinner & Awards
29th June
Main Conference
09.00 - 10.30
Keynote 3 - Hannes Werthner
10.30 - 11.00
Coffee Break
11.00 - 12.30
Papers
12.30 - 14.00
Lunch
14.00 - 15.30
Papers
15.30 - 16.00
Coffee Break
16.00 - 17.30
Townhall & Closing & UMAP 2024 announcement

27th June 2023

09:00-10:30
Welcome + Keynote 1 - Elad Yomtov

Room: Panorama
Chair: Tsvi Kuflik
10:30-11:00
Coffee Break
11:00-12:30
Session 1: Personalization for Persuasive and Behavior Change
Room: Panorama
Chair: Federica Cena

1786 Personalizing Time Loss Aversion to Reduce Social Media Use.
Ziwei Gao

4830 Investigating the effectiveness of persuasive justification messages in fair music recommender systems for users with different personality traits.
Somayeh Fatahi, Seyedeh Mina Mousavifar and Julita Vassileva

5238 Toward Changing Users behavior with Emotion-based Adaptive Systems.
Mina Alipour, Mahyar Tourchi Moghaddam, Karthik Vaidhyanathan and Mikkel Baun Kjærgaard

6274 Towards a Personalized Online Fake News Taxonomy.
Luis Filipe Altoe and H. Sofia Pinto>

12:30-14:00
Lunch
14:00-15:30
Session 2: Recommender Systems
Room: Panorama
Chair: Marko Tkalčič

7464 Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations.
Giuseppe Spillo, Cataldo Musto, Marco Polignano, Pasquale Lops, Marco de Gemmis and Giovanni Semeraro

6572 Together Yet Apart: Multimodal Representation Learning for Personalised Visual Art Recommendation.
Bereket Abera Yilma and Luis Leiva

9977 Promoting Tail Item Recommendations in E-Commerce.
Tamar Didi, Ido Guy, Amit Livne, Arnon Dagan, Lior Rokach and Bracha Shapira

168 Evaluating Pre-training Strategies for Collaborative Filtering.
Júlio B. G. Costa, Leandro B. Marinho, Rodrygo L. T. Santos and Denis Parra

15:30-16:00
Coffee Break
16:00-17:30
LBR/Demo & DC Madness Session
Room: Panorama
19:00-20:30
Welcome reception (Posters & LBR & Demos)

28th June 2023

09:30-10:30
Keynote 2 - Jahna Otterbacher
Room: Panorama
Chair: Styliani Kleanthous
10:30-11:00
Coffee Break
11:00-12:30
Session 3: Putting the Human at the Center
Room: Panorama
Chair: Hanna Hauptmann

2353 Human Expectations and Perceptions of Learning in Machine Teaching.
Swati Mishra and Jeff Rzeszotarski

2788 Composing Groups in Collaborative Learning by Pair Personality Differences.
Akihiro Kobayashi, Yuichi Ishikawa, Kazushi Ikeda, Daisuke Kamisaka and Roberto Legaspi

9799 Leveraging Causal Inference to Measure the Impact of a Mental Health App on Users' Well-being.
Aleix Ruiz de Villa, João Guerreiro, Federico Lucchesi, Giovanni Maffei, Bartlomiej Skorulski, Gabriele Sottocornola and Ludovik Coba

433 Improving Proactive Dialog Agents Using Socially-Aware Reinforcement Learning.
Matthias Kraus, Nicolas Wagner, Ron Riekenbrauck and Wolfgang Minker

12:30-14:00
Lunch
14:00-15:30
Doctoral Consortium
Room: Panorama
Round Table

Fairness and Sustainability in Multistakeholder Tourism Recommender Systems
Asmi Banerjee

How To Model Users Through Their Abilities: A Methodological Perspective On Ability-Based Design
Amelie Nolte

Scalable and Explainable Linear Shallow Autoencoders for Collaborative Filtering from Industrial Perspective
Vojtech Vancura

Adaptive Context-Aware Planning Support for Students with Autism
Robin Cromjongh

Combining Heterogeneous Embeddings for Knowledge-Aware Recommendation Models
Guiseppe Spillo

Sustainability-oriented Recommender Systems
Pavel Merinov

Overcoming Customisation Challenges in Information Dashboards
Hatim Alsayahani

The Influence of Media Bias on News Recommender Systems
Qui Ruan

15:30-16:00
Coffee Break
16:00-17:30
Session 4: The Classroom Context
Room: Panorama
Chair: Olga Santos

383 A Comparative Analysis of Automatic Speech Recognition Errors in Small Group Classroom Discourse.
Jie Cao, Ananya Ganesh, Jon Cai, Rosy Southwell, Margaret Perkoff, Michael Regan, Katharina Kann, James Martin, Martha Palmer and Sidney D'Mello

2266 Curb your procrastination: A study of academic procrastination behaviors vs. a planning and time management app.
Siqian Zhao, Shaghayegh Sahebi and Reza Feyzi Behnagh

9606 How Close are Predictive Models to Teachers in Detecting Learners at Risk?
Roberta Galici, Tanja Käser, Gianni Fenu and Mirko Marras

3348 A Bandit You Can Trust.
Ethan Prihar, Adam Sales and Neil Heffernan

17:45-23:00
Conference Tour & Dinner + Awards (Best Paper, Best Student Paper, Best Reviewers)

29th June 2023

09:30-10:30
Keynote 3 - Hannes Werthner
Room: Panorama
Chair:Julia Neidhardt
10:30-11:00
Coffee Break
11:00-12:30
Session 5: Explainability and Decision Making
Room: Panorama
Chair: Peter Brusilovsky

5304 Human-centered Information Visualization Adaptation Engine.
Panayiotis Andreou, Christos Amyrotos, Panagiotis Germanakos and Irene Polycarpou

6249 Service-based Presentation of Multimodal Information for the Justification of Recommender Systems Results.
Zhongli Filippo Hu, Noemi Mauro, Giovanna Petrone and Liliana Ardissono

716 User Needs for Explanations of Recommendations: In-depth Analyses of the Role of Item Domain and Personal Characteristics.
Thi Ngoc Trang Tran, Alexander Felfernig, Viet Man Le, Thi Minh Ngoc Chau and Thu Giang Mai

4118 Explainable and Accurate: Interactive Personalization of Classifiers for Explainability using Multi-Objective Bayesian Optimization.
Suyog Chandramouli, Yifan Zhu and Antti Oulasvirta

4925 A Missing Piece in the Puzzle: Considering the Role of Task Complexity in Human-AI Decision Making.
Sara Salimzadeh, Gaole He and Ujwal Gadiraju

12:30-14:00
Lunch
14:00-15:30
Session 6: RecSys Applications
Room: Panorama
Chair: Cataldo Musto

5045 Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms.
Karlijn Dinnissen and Christine Bauer

9605Combining Reinforcement Learning and Spatial Proximity Exploration for New User and New POI Recommendations.
David Massimo and Francesco Ricci

1816 Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations.
Ciara Feely, Brian Caulfield, Aonghus Lawlor and Barry Smyth

4189 Diffusion-based temporal-aware efficient recommendation on CQA platforms.
Vaibhav Krishna and Nino Antulov-Fantulin

15:30-16:00
Coffee Break
16:00-17:30
Townhall + Closing + UMAP 2024 announcement
Room: Panorama