PROGRAM
Conference Program Overview
26th June
09.00 - 10.30
10.30 - 11.00
11.00 - 12.30
12.30 - 14.00
14.00 - 15.30
15.30 - 16.00
16.00 - 17.30
27th June
09.00 - 10.30
10.30 - 11.00
11.00 - 12.30
12.30 - 14.00
14.00 - 15.30
15.30 - 16.00
16.00 - 17.30
28th June
09.00 - 10.30
10.30 - 11.00
11.00 - 12.30
12.30 - 14.00
14.00 - 15.30
15.30 - 16.00
16.00 - 17.30
29th June
09.00 - 10.30
10.30 - 11.00
11.00 - 12.30
12.30 - 14.00
14.00 - 15.30
15.30 - 16.00
16.00 - 17.30
27th June 2023
09:00-10:30
Welcome + Keynote 1 - Elad Yomtov
Room: Panorama
Chair: Tsvi Kuflik
10:30-11:00
11:00-12:30
Session 1: Personalization for Persuasive and Behavior Change
Room: PanoramaChair: 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
14:00-15:30
Session 2: Recommender Systems
Room: PanoramaChair: 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
16:00-17:30
LBR/Demo & DC Madness Session
Room: Panorama19:00-20:30
Welcome reception (Posters & LBR & Demos)
28th June 2023
09:30-10:30
Keynote 2 - Jahna Otterbacher
Room: PanoramaChair: Styliani Kleanthous
10:30-11:00
11:00-12:30
Session 3: Putting the Human at the Center
Room: PanoramaChair: 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
14:00-15:30
Doctoral Consortium
Room: PanoramaRound 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
16:00-17:30
Session 4: The Classroom Context
Room: PanoramaChair: 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: PanoramaChair:Julia Neidhardt
10:30-11:00
11:00-12:30
Session 5: Explainability and Decision Making
Room: PanoramaChair: 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
14:00-15:30
Session 6: RecSys Applications
Room: PanoramaChair: 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