{"id":468,"date":"2024-10-25T14:53:39","date_gmt":"2024-10-25T14:53:39","guid":{"rendered":"https:\/\/www.um.org\/umap2025\/?page_id=468"},"modified":"2025-06-17T16:51:13","modified_gmt":"2025-06-17T20:51:13","slug":"program","status":"publish","type":"page","link":"https:\/\/www.um.org\/umap2025\/program\/","title":{"rendered":"Program"},"content":{"rendered":"\t\t
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Session #1 - Fairness, Bias and Ethics (June 17, 11:00 AM - 12:15 PM)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Chair: Michael Ekstrand<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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  • Salvatore Bufi, Vincenzo Paparella, Vito Walter Anelli and Tommaso Di Noia<\/em>. Legal but Unfair: Auditing the Impact of Data Minimization on Fairness and Accuracy Trade-off in Recommender Systems (full paper)<\/strong><\/li>
  • Adiba Proma, Neeley Pate, James Druckman, Gourab Ghoshal and Ehsan Hoque<\/em>. Personalizing LLM Responses to Combat Political Misinformation (full paper)<\/strong><\/li>
  • Tzu-Yu Weng, Hanna Alzughbi, Isaac Rabago, Erin Ar\u00e9valo Chaves, Erik Vagil, Nancy Fulda, Erin Ash, Mainack Mondal, Bart Knijnenburg and Xinru Page<\/em>. Strangers in a new culture see only what they know”: Evaluating Effectiveness of GPT-4 Omni for Detecting Cross-Cultural Communication Norm Violations (short paper)<\/strong><\/li>
  • Filip Spacek, Vojtech Vancura and Pavel Kordik<\/em>. Mitigating Risks in Marketplace Semantic Search: A Dataset for Harmful and Sensitive Query Alignment (short paper)<\/strong><\/li>
  • Royal Pathak and Francesca Spezzano<\/em>. Circumventing Misinformation Controls: Assessing the Robustness of Intervention Strategies in Recommender Systems (short paper)<\/strong><\/li>
  • Erasmo Purificato, Hannan Javed Mahadik, Ludovico Boratto and Ernesto William De Luca<\/em>. GNN\u2019s FAME: Fairness-Aware MEssages for Graph Neural Networks (short paper)<\/strong><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Session #2 - Explanation and Transparency (June 17, 2:15 PM - 3:45 PM)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Chair: Marko Tkal\u010di\u010d<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    • Aditya Bhattacharya, Tim Vanherwegen and Katrien Verbert<\/em>. Show Me How: Benefits and Challenges of Agent-Augmented Counterfactual Explanations for Non-Expert Users (full paper)<\/strong><\/li>
    • Cedric Waterschoot, Raciel Yera Toledo, Nava Tintarev and Francesco Barile<\/em>. With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations (full paper)<\/strong><\/li>
    • Siddharth Mehrotra, Ujwal Gadiraju, Eva Bittner, Folkert van Delden, Catholijn M. Jonker and Myrthe L. Tielman<\/em>. Even explanations will not help in trusting [this] fundamentally biased system: A Predictive Policing Case-Study (full paper)<\/strong><\/li>
    • Maxwell Szymanski, Vero Vanden Abeele and Katrien Verbert.<\/em> Disentangling Stakeholder Role and Expertise in User-Centered Explainable AI (full paper)<\/strong><\/li>
    • Patrik Dokoupil and Ladislav Peska.<\/em> Effects of Quantitative Explanations on Fairness Perception in Group Recommender Systems (short paper)<\/strong><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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      Industry Session (June 17, 5:00 PM - 5:50 PM)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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      Chair: Nandana Mihindukulasooriya<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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      • Sardar Hamidian, Mayur Nankani, Yejin Kim, Shaghayegh Agah, Neeraj Sharma, H. Howie Huang and Kevin Foley.<\/em> Predicting Movie Hits Before They Happen with LLMs<\/li>
      • Anupam Agrawal, Jil Kothari, Siddhesh Chaubal and Palash Tatte<\/em>. Enhancing Personalisation in Fantasy Sports with Graph-Based Representations<\/li>
      • Andrea Lops, Fedelucio Narducci, Azzurra Ragone and Michelantonio Trizio.<\/em> Personalized Fashion Advertising with Large Language Models: A Case Study on Fine-Tuning for Marketing Copy Generation<\/li>
      • Potito Aghilar, Vito Walter Anelli, Andrea Lops, Fedelucio Narducci, Azzurra Ragone, Sabino Roccotelli and Michelantonio Trizio<\/em>. Adaptive User Modeling in Visual Merchandising: Balancing Brand Identity with Operational Efficiency<\/li>
      • Amit Jaspal and Rahul Agarwal. <\/em>Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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        Session #3 - Recommender Systems (June 18, 11:00 AM - 12:30 PM)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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        Chair: Ludovico Boratto<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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        • Alessandro Petruzzelli, Cataldo Musto, Marco de Gemmis, Giovanni Semeraro and Pasquale Lops<\/em>. Empowering Recommender Systems based on Large Language Models through Knowledge Injection Techniques (full paper)<\/strong><\/li>
        • Ivica Kostric, Krisztian Balog and Ujwal Gadiraju<\/em>. Should We Tailor the Talk? Understanding the Impact of Conversational Styles on Preference Elicitation in Conversational Recommender Systems (full paper)<\/strong><\/li>
        • Brett Binst, Lien Michiels and Annelien Smets.<\/em> What is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems (full paper)<\/strong><\/li>
        • Giuseppe Spillo, Cataldo Musto, Matteo Mannavola, Marco de Gemmis, Pasquale Lops and Giovanni Semeraro.<\/em> GAL-KARS: Exploiting LLMs for Graph Augmentation in Knowledge-Aware Recommender Systems (full paper)<\/strong><\/li>
        • Bruno Sguerra, Viet-Anh Tran, Romain Hennequin and Manuel Moussallam<\/em>. Uncertainty in Repeated Implicit Feedback as a Measure of Reliability (full paper)<\/strong><\/li>
        • Lalit Kishore Vyas and Ludovico Boratto<\/em>. Addressing Personalized Diversity in Eyewear Recommendation: a Lenskart Case Study (short paper)<\/strong><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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          Session #4 - Human Factors in Personalization (June 18, 2:00 PM - 3:30 PM)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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          Chair: Cristina Gena<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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          • Donghuo Zeng, Roberto S. Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, and Kun Zhang<\/em>. Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge (full paper)<\/li>
          • Jos\u00e9 Dias, Patr\u00edcia Alves, Joana Neto and Goreti Marreiros<\/em>. Mindful Escape: A Mobile Serious Game to Predict the Personality Trait Cooperation (full paper)<\/strong><\/li>
          • Luca Raggioli, Antimo Cantiello, Raffaella Esposito, Alessandra Rossi and Silvia Rossi<\/em>. Comparing Cognitive and Affective Theory of Mind for an Assistive Robotics Application (full paper)<\/strong><\/li>
          • Indrajeet Ghosh, Kasthuri Jayarajah, Nicholas Waytowich and Nirmalya Roy<\/em>. Augmenting Personalized Memory via Practical Multimodal Wearable Sensing in Visual Search and Wayfinding Navigation (full paper)<\/strong><\/li>
          • Muhammad Raees, Vassilis-Javed Khan, and Konstantinos Papangelis.<\/em> Exploring Persuasive Engagement to Reduce Over-Reliance on AI-Assistance in a Customer Classification Case (short paper)<\/strong><\/li>
          • Dhairya Dalal, Gaurav Negi and Davide Picca<\/em>. LLMs and Emotional Intelligence: Evaluating Emotional Understanding Through Psychometric Tools (short paper) <\/strong><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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            Session #5 - User Modeling (June 18, 4:00 PM - 5:30 PM)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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            Chair: Olga Santos<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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            • Marta Moscati, Darius Afchar, Markus Schedl and Bruno Sguerra<\/em>. Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs (full paper)<\/strong><\/li>
            • Arshnoor Kaur, Amanda Aird, Harris Borman, Dr Andrea Nicastro, Dr Anna Leontjeva, Dr Luiz Pizzato and Dan Jermyn<\/em>. Synthetic Voices: Evaluating the Fidelity of LLM-Generated Personas in Representing People\u2019s Financial Wellbeing (full paper)<\/strong><\/li>
            • Jia Hua Jeng, Gloria Kasangu, Alain D. Starke, Khadiga Seddik and Christoph Trattner.<\/em> The role of GPT as an adaptive technology in climate change journalism (full paper)<\/strong><\/li>
            • Kayhan Latifzadeh, Luis A. Leiva, Klen \u010copi\u010d Pucihar, Matja\u017e Kljun, Iztok Devetak and Lili Steblovnik<\/em>. Assessing Medical Training Skills via Eye and Head Movements (full paper)<\/strong><\/li>
            • Yalmaz A. Abdullah, Michael Guevarra, Minghao Cai, Jialiang Yan, Matthew E. Taylor and Carrie Demmans Epp<\/em>. Pilot Trainees Benefit from Modelling and Adaptive Feedback (full paper)<\/strong><\/li>
            • Mariagrazia Miccoli, Berardina Nadja De Carolis, Giuseppe Palestra and Aurora Toma<\/em>. Enhancing Digital Narrative Medicine through Emotion Analysis in Conversational Agents (short paper) <\/strong><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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              Session #6 - Interaction and Adaptive UI (June 19, 9:00 AM - 10:30 AM)\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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              Chair: Styliani Kleanthous<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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              • Yicheng Fu, Raviteja Anantha, Prabal Vashisht, Jianpeng Cheng and Etai Littwin<\/em>. UI-JEPA: Towards Active Perception of User Intent through Onscreen User Activity (full paper)<\/strong><\/li>
              • Maxwell Szymanski, John Stamper, Vero Vanden Abeele and Katrien Verbert<\/em>. Granular Feedback: Leveraging Domain Expertise and Explainable AI to Effectively Steer Models (full paper)<\/strong><\/li>
              • Fahrettin G\u00f6kg\u00f6z and Hussein Hasso<\/em>. Task-specific, personalized Automatic Speech Recognition (full paper)<\/strong><\/li>
              • Hatim Alsayahani, Mohammed Alhamadi, Simon Harper and Markel Vigo<\/em>. The Effect of Nudging Techniques on the Customisation and Usability of Visual Analytics Dashboards (full paper)<\/strong><\/li>
              • William Fisher, Jacob Rhyne, Mark Bailey, Joseph Morgan and Ryan Lekivetz<\/em>. Learning User Interface Preferences via Contextual Discrete Choice Experimentation (short paper) <\/strong><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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                Session #7 - Learning and Education (June 19, 11:00 AM - 12:00 PM)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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                Chair: Fabio Gasparetti<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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                • Matthieu Branth\u00f4me and S\u00e9bastien Lall\u00e9<\/em>. Impact of Adaptive Feedback on Learning Programming with a Serious Game in High Schools\u2019 Classes (full paper)<\/strong><\/li>
                • Mubina Kamberovic, Amina Mevic and Senka Krivic<\/em>. Sentence Encoder-Based Clustering Method for Modeling Students’ Learning Programming Behavior (full paper)<\/strong><\/li>
                • Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras and Andrea Giovanni Martis<\/em>. Can Path-Based Explainable Recommendation Methods based on Knowledge Graphs Generalize for Personalized Education? (short paper)<\/strong><\/li>
                • Rafaella Sampaio de Alencar, Mehmet Arif Demirtas, Adittya Soukarjya Saha, Yang Shi and Peter Brusilovsky<\/em>. Integrating Expert Knowledge With Automated Knowledge Component Extraction for Student Modeling (short paper) <\/strong><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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