Program
Schedule
Monday June 8 (Workshops)
09:00
–
10:30
–
10:30
LLM4Good: The 2nd Workshop on Sustainable and Trustworthy Large Language Models for Personalization
AK2136
SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2026
+
The 17th International Workshop on Personalized Access to Cultural Heritage (PATCH 2026)
AK2 138 + 139
Doctoral Consortium
AK2 133 + 134
10:30
–
11:00
–
11:00
Coffee Break
11:00
–
12:30
–
12:30
LLM4Good: The 2nd Workshop on Sustainable and Trustworthy Large Language Models for Personalization
AK2 136
SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2026
+
The 17th International Workshop on Personalized Access to Cultural Heritage (PATCH 2026)
AK2 138 + 139
Doctoral Consortium
AK2 133 + 134
12:30
–
14:00
–
14:00
Lunch Break
14:00
–
16:00
–
16:00
Doctoral Consortium
(from 14:30)
AK2 133 + 134
16:00
–
16:30
–
16:30
Coffee Break
16:30
–
18:30
–
18:30
8th UMAP Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2026)
AK2 136
Doctoral Consortium
(until 18:00)
AK2 133 + AK2 134
Tuesday June 9
09:00
–
10:30
–
10:30
Tutorial 1:
How to Build Explainable Recommender Systems using Path Reasoning on Knowledge Graphs: A Tutorial with hopwise
AK2 138 + 139
Tutorial 3:
Inferential and Causal Principles for Better Understanding Interactive Systems
AK2 133 + 134
Tutorial 4:
From Modeling and Profiling to Auditing: the Evolving Role of the User in Recommender System Research
AK2 137
10:30
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11:00
–
11:00
Coffee Break
11:00
–
11:30
–
11:30
Conference Opening
Kjell Härnqvist auditorium
11:30
–
12:30
–
12:30
Keynote 1: Ranjitha Kumar
Zero to One-Shot Personalization with LLMs
Chair: Toine Bogers
Kjell Härnqvist auditorium
12:30
–
14:00
–
14:00
Lunch Break & Poster Session 1
14:00
–
15:30
–
15:30
15:30
–
16:00
–
16:00
Coffee Break
16:00
–
17:45
–
17:45
17:45
–
21:00
–
21:00
Welcome Reception
Foyer @ Pedagogen
Wednesday June 10
09:00
–
10:30
–
10:30
10:30
–
11:00
–
11:00
Coffee Break
11:00
–
11:30
–
11:30
11:30
–
12:30
–
12:30
Keynote 2: Nava Tintarev
One-size Explanations still do not fit all
Chair: Toine Bogers
Kjell Härnqvist auditorium
12:30
–
14:00
–
14:00
Lunch Break & Poster Session 2
14:00
–
15:30
–
15:30
15:30
–
16:00
–
16:00
Coffee Break
16:00
–
17:45
–
17:45
18:30
–
23:00
–
23:00
Conference Dinner
Universeum Södra Vägen 50
Thursday June 11
09:00
–
10:30
–
10:30
10:30
–
11:00
–
11:00
Coffee Break
11:00
–
11:30
–
11:30
11:30
–
12:30
–
12:30
Keynote 3: Sahar Asadi
Decoding Gameplay: Foundation Models and the Future of Player Context
Chair: Alan Said
Kjell Härnqvist auditorium
12:30
–
14:00
–
14:00
Lunch Break & Poster Session 3
14:00
–
15:30
–
15:30
15:30
–
16:00
–
16:00
Coffee Break
16:00
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17:15
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17:15
11:00
–
11:30
–
11:30
Conference Closing
Kjell Härnqvist auditorium
Paper Sessions
The presentation order within sessions is still being finalized and may change at a later stage.
Session #1 (June 9, 14:00 - 15:30)
Chair: tbd
- Giuseppe Spillo, Cataldo Musto, Francesco Musci, Marco de Gemmis and Giovanni Semeraro. MMGCF: Multimodal Graph Collaborative Filtering for Recommendation with Graph Convolutional Networks (Short Paper)
- Patrik Dokoupil, Ludovico Boratto and Ladislav Peska. CALISSTA: Calibrated Candidate Retrieval Using Sparse Autoencoders and Top-k Aggregation (Short Paper)
- Rodrigo Alves, Vojtěch Vančura, Pavel Kordík and Antoine Ledent. Language Embeddings Meet Shallow Autoencoders (Short Paper)
- Raciel Yera and Luis Martínez. Behind the Re-Rank: Explaining Fairness in Top-N Recommendations (Full Paper)
- Tobias Jovall Wessel, Christoph Trattner and Alain Starke. Increasing Editor Trust in News Personalization Systems with Fact-checked Large Language Models (Full Paper)
- Yufan Zhou, Yirui Huang, Zhao Wang and Yucheng Jin. How Personal Characteristics Influence the Use of Multi-Agent Conversational Recommender Systems for Diverse Exploration (Full Paper)
- Dan Turkel, Dev Goyal, Frankie Lu, Sihan Chen, Eyan Yeung, Richie Mendelsohn and Behrooz Afghahi. Multi-Objective Candidate Generation for Reciprocal Recommendation at Hinge (Industry Paper)
- Olivier Jeunen, Eleanor Hanna and Schaun Wheeler. Sustained Impact of Agentic Personalisation in Marketing: A Longitudinal Case Study (Industry Paper)
Session #2 (June 9, 16:00 - 17:45)
Chair: tbd
- Stavros Davidopoulos, Dimitris Sacharidis and Panagiotis Symeonidis. Differentially Private and Fair Algorithmic Hiring for Recruiters (Short Paper)
- Wu Ziqing, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang and Yew Soon Ong. MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation (Full Paper)
- Tim Donkers and Jürgen Ziegler. How Humans and LLMs Differ in Processing Uncertainty in Polarized Discourse (Full Paper)
- Robin Ungruh and Maria Soledad Pera. This Is The World (Recommender Systems Made It For You): Capturing Risk Pathways for Children through a Pluralistic Multi-Risk Assessment of Recommenders (Full Paper)
- Robin Verachtert, Kim Falk and Christine Bauer. Enhancing Diversity in News Recommendations Increases Click-Through Rates: Insights from an Online Experiment and User Study (Full Paper)
- Filipe Altoe, Sergio M. Pinto and H. Sofia Pinto. Personalized Misinformation Interventions: User-Adaptive Fact-Check Explanations Through Affective Modalities (Full Paper)
- Branislav Pecher, Adrian Bindas, Jan Jakubcik, Matus Tuna, Matus Tibensky, Simon Liska, Peter Sakalik, Andrej Suty, Matej Mosnar, Filip Hossner and Ivan Srba. Algorithmic Audit of Personalisation Drift in Polarising Topics on TikTok (Full Paper)
- Meng Ling, Himanshu Jahagirdar, Janith Weerasinghe, Hanjun Yoon, Suja Thomas, Anuradha Uduwage and Sam Han. LLM-Based Content Tagging at The Washington Post (Industry Paper)
Session #3 (June 10, 09:00 - 10:30)
Chair: tbd
- Michael Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Günther Specht and Eva Zangerle. On the Reliability of User-Centric Evaluation for Conversational Recommender Systems (Short Paper)
- Jason Mina, Lorenzo Zangari, Alexandre Alahi, Davide Picca and Luigi Bagnato. Evaluating Persona Consistency and Emotion Understanding in Small Language Models (Short Paper)
- Patryk Bartkowiak and Michal Podstawski. EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions (Short Paper)
- Diletta Micol Tobia, Hrishita Chakrabarti, Maria Soledad Pera and Monica Landoni. Using Anti-Personas to Model Children: How to Represent User-System Mismatches (Full Paper)
- Roberto Legaspi, Kazushi Ikeda, Akihiro Sasaki, Akihiro Miyamoto, Kae Nakajima, Nao Kobayashi and Yasushi Naruse. Modeling the Sense of Agency as a Latent User State during Music Listening (Full Paper)
- Yan-Martin Tamm, Gregor Meehan, Vojtěch Nekl, Vojtěch Vančura, Rodrigo Alves, Johan Pauwels and Anna Aljanaki. Leveraging Artist Catalogs for Cold-Start Music Recommendation (Full Paper)
- Brett Binst, Ulysse Maes, Martijn Willemsen and Annelien Smets. Let Me Introduce You: Stimulating Taste-Broadening Serendipity through Song Introductions (Full Paper)
Session #4 (June 10, 11:00 - 11:30)
Chair: tbd
- David Johnson. Raising the Stakes: A Framework for Modeling the Influence of Stakes on Appropriate Reliance in Human-AI Decision-Making (Short Paper)
- Eleonora Balloccu, Ludovico Boratto, Angelo Geninatti Cossatin, Mirko Marras, Noemi Mauro and Giacomo Medda. Evaluating the Role of Context Representations in the Behavioral Fidelity of LLM-based Personas for Food Preferences (Short Paper)
- Yelyzaveta Lysova, Christoph Trattner and Alain Dominique Starke. Using AI as a Chef: Users Overlook Nutritional Flaws in LLM-Generated Recipes (Full Paper)
Session #5 (June 10, 14:00 - 15:30)
Chair: tbd
- Miguel Portaz, Alberto Corbi and Olga C. Santos. May the Force Be with You: Force-Aware and Explainable User Modeling for Personalized Psychomotor Support (Short Paper)
- Hatim Alsayahani, Simon Harper and Markel Vigo. Balancing Guidance and Control: Nudging Users Toward Effective Dashboard Customisation (Short Paper)
- Rongtao Zhang, Xin Zhu, Masoume Pourebadi Khotbehsara, Warren Dao, Erdem Bıyık and Heather Culbertson. Vibrotactile Preference Learning: Uncertainty-Aware Preference Learning for Personalized Vibration Feedback (Short Paper)
- Rafaella Sampaio de Alencar, Michael Yudelson, Peter Brusilovsky and William Evans. Elo Infusion of User-Level Factors to Operationalize Modeling of Aphasia Patients Word-Recall Practice During Recovery (Full Paper)
- Qurat Ul Ain, Mohamed Amine Chatti, Nasim Yazdian Varjani, Farah Kamal and Astrid Rosenthal-von der Pütten. Visual or Textual: Effects of Explanation Format and Personal Characteristics on the Perception of Explanations in an Educational Recommender System (Full Paper)
- Aditya Joshi and Sergey Sosnovsky. Towards Student Profiles for Personalized Social Comparison in Learning Interfaces (Full Paper)
- Mark Mensah, Evans Kwasi, Mohammed Abdulmawjood and Kiemute Oyibo. User Modelling and Adaptation in Immersive Preventive Health Interventions: A Systematic Review and Evidence Map (Full Paper)
Session #6 (June 10, 16:00 - 17:45)
Chair: tbd
- Alessio Ferrato, Giuseppe Sansonetti and Marko Tkalčič. On the Role of Dwell Time for Implicitly Profiling Museum Visitors (Short Paper)
- Alejandra Barbarelli, Angeles Manjarrés, Olga C. Santos, Maribel Abril, Miguel Portaz, Raúl Cabestrero, Pilar Quirós and Simon Pickin. Participatory Elicitation of User Model Dimensions for Active Ageing (Short Paper)
- Ruixuan Sun, Junyuan Wang, Sanjali Roy and Joseph Konstan. Productively Wrong: How Critiquing AI Profiles Enhances Interest Awareness and Reflection in Movie Recommender (Short Paper)
- Anouk van Kasteren, Marloes Vredenborg, Christine Bauer and Judith Masthoff. Modelling Preference Heterogeneity for Context-Aware Decision Support During Public Transport Disruptions (Full Paper)
- Eveline Ingesson and Maria Riveiro. Explanation Demand as a Trait, Not a State: Implications for User Modeling in Adaptive Systems (Full Paper)
- Marloes Vredenborg, Marit Bentvelzen, Christine Bauer and Judith Masthoff. Does Tone Matter? Exploring Context-Aware Explanations in Route Recommendations (Full Paper)
- Sophia Egbert, Stefanie M. Störtebek and Juliane A. Lischka. To Explain or Not to Explain? An Empirical Investigation into Users’ Information Needs in News Recommender Systems and Its Impact on User Engagement (Full Paper)
- Dominik Freunberger, Sebastian Agerhåll, Jesper Hedlund, Jorge Letosa and Ana Sílvia C. Silva. Multi-Armed Bandits for Recommendation Strategy Selection in Front Page Personalisation (Industry Paper)
- Andrii Dzhoha and Egor Malykh. Toward Balanced Personalization: Bridging Short-Term Intent and Long-Term Preference (Industry Paper)
Session #7 (June 11, 09:00 - 10:30)
Chair: tbd
- Florian Atzenhofer-Baumgartner and Dominik Kowald. What Do Humanities Scholars Need? A User Model for Recommendation in Digital Archives (Short Paper)
- Eliya Naomi Aharon, Meytal Grimland, Yossi Levi Belz, Kobi Gal, Avi Segal, Loona Ben Dayan, Inbar Shenfeld and Joy Benatov. SAGE: A Strategy-Aware Graph-Enhanced Generation Framework For Online Counseling (Short Paper)
- Aurora Toma, Davide Lofrese and Giuseppe Palestra. Personalized Human–Robot Interaction through Ontology-Based Knowledge Graphs and Large Language Models (Full Paper)
- Morita Tarvirdians, Senthil Chandrasegaran, Hayley Hung, Catholijn M. Jonker and Catharine Oertel. Reflecti-Mate: A Conversational Agent for Adaptive Decision-Making Support Through System 1 and System 2 Thinking (Full Paper)
- Moyan Zhou, Minzhu Zhao and Loren Terveen. WikiCoach: Scaffolding Learning for Novices in Online Apprenticeship Communities (Full Paper)
- Xin Sun, Shu Wei, Ting Pan, Yajing Wang, Jos A. Bosch, Isao Echizen, Abdallah El Ali and Saku Sugawara. Eyes Can’t Always Tell: Fusing Eye Tracking and User Priors for User Modeling under AI Advice Conditions (Full Paper)
- Rafael Sereicikas, Pedro Pires, Gregório Azevedo and Tiago Almeida. Learning Behaviorally Grounded Item Embeddings via Personalized Temporal Contexts (Full Paper)
Session #8 (June 11, 11:00 - 11:30)
Chair: tbd
- Andrii Dzhoha, Alisa Mironenko, Evgeny Labzin, Vladimir Vlasov, Maarten Versteegh and Marjan Celikik. Harnessing Query Context for Personalized User Intent-Aware Sequential Recommendation (Short Paper)
- Ibrahim Al Hazwani and Nava Tintarev. Exploring the Latitude of Acceptance over Several Recommendation Turns in a Game Settings (Short Paper)
- Manisha R, Pradeep M and Satyen Abrol. Cross-Domain Cold-Start Personalization via LLM-Synthesized Structured User Profiles (Industry Paper)
Session #9 (June 11, 14:00 - 15:30)
Chair: tbd
- Annie Landerberg, Kari Flatmo and Alan Said. Trust as a Situated User State in Social LLM-Based Chatbots: A Longitudinal Study of Snapchat’s My AI (Short Paper)
- Hrishita Chakrabarti, Diletta Micol Tobia, Garrett Allen, Monica Landoni and Maria Soledad Pera. Is it relevant, but is it useful?: A Reflection on Human-Centred Evaluation in Children Information Retrieval (Short Paper)
- Angelo Geninatti Cossatin, Maria Maistro and Noemi Mauro. Investigating the Gap Between Offline Metrics and Perceived Fairness (Short Paper)
- Anas Buhayh, Elizabeth McKinnie, Clement Canel and Robin Burke. Multistakeholder Impacts of Profile Portability in a Recommender Ecosystem (Full Paper)
- Jovan Jeromela, Matt Murtagh White, Jasmina Gajcin, Alok Debnath, Dipto Barman and Owen Conlan. As Long as It Does What I Want, I’d Be Happy to Trust It””: Exploring User Perspectives on a Scrutable Assistant for Time Management (Full Paper)
- Tobias Wagner, Enrico Rukzio and Teresa Hirzle. What Do Your Eyes Reveal About Learning from Videos? A Dataset Demonstrating the Link Between Gaze Measures, Engagement, and Learning (Full Paper)
- Han Jun Yoon, Janith Weerasinghe, Himanshu Jahagirdar, Meng Ling, Suja Thomas, Anuradha Uduwage and Sam Han. Uncertainty-Aware Reinforcement Learning for Conversion-Optimized Content Gating (Industry Paper)
- Janith Weerasinghe, Han Jun Yoon, Meng Ling, Himanshu Jahagirdar, Suja Thomas, Anuradha Uduwage and Sam Han. A Case Study of Offline Reinforcement Learning for Paywall Decisioning (Industry Paper)
Session #10 (June 11, 16:00 - 17:15)
Chair: tbd
- Yusra Suhail, Kushas Khadka, Borano Llana, Maedah Hosseinpour and Shaun Wallace. Personalizing Font Size Normalization: Linguistic Background Shapes Which Font Attributes Matter (Full Paper)
- Elena Minucci, Simone Stumpf and Martin Lages. “It’s a Bit of Me”: Predicting Persuasion from Writing Style and Persuader-Receiver Similarity (Full Paper)
- Bereket Yilma, Saravanakumar Duraisamy and Luis Leiva. The AI-Therapist Duo in Virtual Reality: A Triadic Design for Immersive Exposure Digital Art Therapy (Full Paper)
- Ovide Kuichua, Michel Desmarais, Arman Bakhtiari and Chahe Nerguizian. Per-Question Adaptation for Short Answer Grading using LLM Scores and Informative Sampling (Full Paper)
- David Guo, Minqi Sun, Yilun Jiang, Jiazhou Liang and Scott Sanner. VOGUE: A Multimodal Dataset for Conversational Recommendation in Fashion (Full Paper)
Poster Sessions
Poster Session #1 (June 9, 12:30 - 14:00)
- Faisal Shehzad and Dietmar Jannach. Reproducibility of LLM-based Recommender Systems Research: Worrying Observations from an Initial Analysis (LBR)
- Maria João Lavoura, Robert Jungnickel and João Vinagre. Measuring the stability and plasticity of recommender systems (LBR)
- Robin Ungruh, Alejandro Bellogin, Dominik Kowald and Maria Soledad Pera. When Preference Is Not Enough: Why Recommender Systems Require Human-Aware Evaluation for Children (LBR)
- Cedric Waterschoot, Nava Tintarev and Francesco Barile. Who is the Fairest of Them All? Using Large Language Models for Fairness Assessments (LBR)
- Kathleen W. Guan, Sarthak Giri, Mohammed Al Owayyed, Bernard J. Jansen, Gayane Sedrakyan, Joao Fernando Ferreira Goncalves, Mark de Reuver and Caroline A. Figueroa. Leveraging Participatory Personas for Reflexive Co-design of Personalization in Large Language Models for Youth Well-Being (LBR)
- Kaidong Feng, Zhu Sun, Roy Ka-Wei Lee, Xun Jiang, Yin-Leng Theng and Yi Ding. Personalization Matters: Benchmarking ML, DL and LLMs for Mental Health Forecasting from Smartphone Sensing Data (LBR)
- Sofie Kastelli, Napsugár Takács, Marko Tkalčič and Bruce Ferwerda. Evaluating Vibrotactile Feedback: Usability and User Experience in Glove vs. Non-Glove Conditions (LBR)
- Ondřej Kříž, Patrik Dokoupil and Ladislav Peska. Match-it: Group Recommendations in the Age of Mobile Applications (Demo)
- Manel Slokom and Alejandro Bellogin. Beyond Centralization: User-Controlled Federated Recommendations in Practice (Demo)
- Maxwell Szymanski, Robin De Croon, Marie Meuris, Ann Swillen and Katrien Verbert. GeneticPuzzle: a Mobile Psychoeducational Tool to Support Families Affected by 22q11.2 Deletion Syndrome (Demo)
Poster Session #2 (June 10, 12:30 - 14:00)
- Bianca Maria Deconcini, Elisa Sorri and Federica Cena. “Voglia di”: Supporting Food Choices Through Transient Cravings (LBR)
- Irina Nalis, Nils Klüwer and Julia Neidhardt. From Labels to Context: Context-Sensitive User Modeling of Affect with Large Language Models (LBR)
- Diogo Carvalho, Senka Krivic, Timothy Tang and Salman Ahmad. User-State Verification in Conversational Commerce: Detecting Journey Hallucinations via Trace Invariants (LBR)
- Peter Müllner, Dominik Kowald, Markus Schedl and Elisabeth Lex. Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations (LBR)
- Ashmi Banerjee, Adithi Satish, Wolfgang Wörndl and Yashar Deldjoo. Multi-Dimensional Evaluation of Sustainable City Trips with LLM-as-a-Judge and Human-in-the-Loop (LBR)
- Rodrigo Alves and Antoine Ledent. The Stars Align: Modeling User Rating Calibration with Sparse Semantic Review Features (LBR)
- Andrew Thompson and Brenna Argall. A Zero-Force Optical Sensor Interface and Fitting Protocol for Customized Assistive Technology Control (LBR)
- Tom Bovie, Bhupender Kumar Saini, Chandan Kumar and Mihai Bâce. DUPLet: Dynamic User Modeling for Personalized Cover Letter Generation (LBR)
- Ulysse Maes, Cedric Waterschoot, Francesco Barile and Nava Tintarev. FIRE: A Modular Framework for Prototyping and Evaluating Interactive Recommender Explanations (Demo)
- Yong Zheng and Jian Zhang. OmniSim: A LLM-Powered Open-Source Simulator for Generating Personalized and Adaptive Conversational Recommendation Dialogues (Demo)
- Yizhe Zhang, Robin De Croon, Maxwell Szymanski and Katrien Verbert. CAPTURE: A Visual–Conversational Dashboard for Supporting User-Driven Explanations in a Job–Candidate Matching Algorithm (Demo)
Poster Session #3 (June 11, 12:30 - 14:00)
- Caroline Frössling, Uroš Sergaš, Marko Tkalčič and Bruce Ferwerda. Game On for News: Stance-Aware Gamification in a News Aggregator to Promote Engagement with Diverse Viewpoints (LBR)
- Janine Riemann, Jasmin Alt, Uroš Sergaš, Marko Tkalčič and Bruce Ferwerda. Progress Feedback for Countering Selective Exposure: When Visualization Can Backfire (LBR)
- Payam Pourashraf, Masoud Mansoury and Bamshad Mobasher. PerSpect: Perspective-aware Contrastive Learning for Hybrid News Recommendation (LBR)
- Liam Hebert, Lucas Kopp and Robin Cohen. Community Norms in the Spotlight: Enabling Task-Agnostic Unsupervised Pre-Training to Benefit Online Social Media (LBR)
- Roman Chervinskyy and Antonela Tommasel. Identifying Misinformation Spreaders through Multi-Source User Modeling (LBR)
- Mirna Saad, Elena Battipede, Luca Botturi, Martin Hlosta, Omran Ayoub, Monica Landoni and Silvia Giordano. Student Web Search Behaviour: A Comparative Study of AI-Assisted and Traditional Search Styles and Performance (LBR)
- Chandan Kumar, Christian Knecht, Jeremias Lange, Bhupender Kumar Saini and Matthias Peissner. Virtual User Lab: An Interactive System for Simulating User Perspectives in Ideation and Evaluation (Demo)
- Wolfgang Wörndl and Cem Nasit Sarica. DestiRec: User Interaction with a Travel Destination Recommender System (Demo)
- Liliana Ardissono, Fabio Ferrero, Angelo Geninatti Cossatin, Claudio Mattutino and Noemi Mauro. A Context-Aware Cultural Heritage Guide Powered by LLMs (Demo)
- Roman Chervinskyy and Antonela Tommasel. From emotional hooks to conspiratorial claims: A teen-focused game for reflecting on misinformation interactions (Demo)