UMAP

Publications

2024

Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin
Does the Long Tail of Context Exist and Matter? The Case of Dialogue-based Recommender Systems. UMAP (2024)
Mayowa Olapade, Tarlan Hasanli, Abdul-Rasheed Ottun, Adeyinka Akintola, Mohan Liyanage, Huber Flores
Pervasive Chatbots: Investigating Chatbot Interventions for Multi-Device Applications. UMAP (2024)
Ayano Okoso, Keisuke Otaki, Satoshi Koide, Yukino Baba
Toward Tone-Aware Explanations in Recommender Systems. UMAP (2024)
Kirsty Kitto
Will a Skills Passport ever get me through the lifelong learning border?: Two critical challenges facing personalised user models for lifelong learning. UMAP (2024)
Rikako Matsushima, Yoshinori Hijikata, Shlomo Berkovsky
Proponents as the Means to Increase the Uptake of Recommendations. UMAP (2024)
Célina Treuillier, Sylvain Castagnos, Özlem Özgöbek, Armelle Brun
Beyond Trade-offs: Unveiling Fairness-Constrained Diversity in News Recommender Systems. UMAP (2024)
Sara Salimzadeh, Ujwal Gadiraju
When in Doubt! Understanding the Role of Task Characteristics on Peer Decision-Making with AI Assistance. UMAP (2024)
Ahtsham Manzoor, Samuel C. Ziegler, Klaus Maria Pirker Garcia, Dietmar Jannach
ChatGPT as a Conversational Recommender System: A User-Centric Analysis. UMAP (2024)
Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2024, Cagliari, Italy, July 1-4, 2024 UMAP (2024)
Stavroula Eleftherakis, Georgia Koutrika, Sihem Amer-Yahia
Optimizing Neighborhoods for Fair Top-N Recommendation. UMAP (2024)
Elaheh Jafari, Julita Vassileva
Designing Effective Warnings for Manipulative Designs in Mobile Applications. UMAP (2024)
Helena Lindgren, Vera C. Kaelin, Ann-Margreth Ljusbäck, Maitreyee Tewari, Michele Persiani, Ingeborg Nilsson
To Adapt or Not to Adapt ? Older Adults Enacting Agency in Dialogues with an Unknowledgeable Agent. UMAP (2024)
Alessandro Petruzzelli, Alessandro Francesco Maria Martina, Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Improving Transformer-based Sequential Conversational Recommendations through Knowledge Graph Embeddings. UMAP (2024)
Gabrielle Alves, Dietmar Jannach, Rodrigo Ferrari de Souza, Marcelo Garcia Manzato
User Perception of Fairness-Calibrated Recommendations. UMAP (2024)
M. Jeffrey Mei, Oliver Bembom, Andreas F. Ehmann
Negative Feedback for Music Personalization. UMAP (2024)
Alisa Rieger, Suleiman Kulane, Ujwal Gadiraju, Maria Soledad Pera
Disentangling Web Search on Debated Topics: A User-Centered Exploration. UMAP (2024)
Seyedehdelaram Esfahani, Giovanni De Toni, Bruno Lepri, Andrea Passerini, Katya Tentori, Massimo Zancanaro
Preference Elicitation in Interactive and User-centered Algorithmic Recourse: an Initial Exploration. UMAP (2024)
Marta Moscati, Hannah Strauß, Peer-Ole Jacobsen, Andreas Peintner, Eva Zangerle, Marcel Zentner, Markus Schedl
Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags. UMAP (2024)
Qin Ruan, Jin Xu, Susan Leavy, Brian Mac Namee, Ruihai Dong
Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting. UMAP (2024)
Vedant Bahel, Harshinee Sriram, Cristina Conati
Initial results on personalizing explanations of AI hints in an ITS. UMAP (2024)
Syrine Haddad, Kayhan Latifzadeh, Saravanakumar Duraisamy, Jean Vanderdonckt, Olfa Dâassi, Safya Belghith, Luis A. Leiva
Good GUIs, Bad GUIs: Affective Evaluation of Graphical User Interfaces. UMAP (2024)
Hitesh Kotte, Florian Daiber, Milos Kravcik, Nghia Duong-Trung
FitSight: Tracking and Feedback Engine for Personalized Fitness Training. UMAP (2024)
Elizabeth Gómez, David Contreras, Maria Salamó, Ludovico Boratto
Bringing Equity to Coarse and Fine-Grained Provider Groups in Recommender Systems. UMAP (2024)
Mersedeh Sadeghi, Daniel Pöttgen, Patrick Ebel, Andreas Vogelsang
Explaining the Unexplainable: The Impact of Misleading Explanations on Trust in Unreliable Predictions for Hardly Assessable Tasks. UMAP (2024)
Amir Gabay, Adir Solomon, Ido Guy, Bracha Shapira
Creating an Intelligent Social Media Campaign Decision-Support Method. UMAP (2024)
Jerome Ramos, Aldo Lipani
EXtrA-ShaRC: Explainable and Scrutable Reading Comprehension for Conversational Systems. UMAP (2024)
Marta Micheli, Alberto Valese
Modeling user personality traits from aesthetic preference on multiple images. UMAP (2024)
Mark Abdelshiheed, Jennifer Jacobs, Sidney D'Mello
Not a Team but Learning as One: The Impact of Consistent Attendance on Discourse Diversification in Math Group Modeling. UMAP (2024)
Philipp Hallgarten, Naveen Sendhilnathan, Ting Zhang, Ekta Sood, Tanya R. Jonker
GEARS: Generalizable Multi-Purpose Embeddings for Gaze and Hand Data in VR Interactions. UMAP (2024)
Amra Delic, Hanif Emamgholizadeh, Francesco Ricci, Judith Masthoff
Supporting Group Decision-Making: Insights from a Focus Group Study. UMAP (2024)
Dipto Barman, Kevin Koidl, Owen Conlan
Discerning Individual Preferences for Identifying and Flagging Misinformation on Social Media. UMAP (2024)
Giuseppe Spillo, Francesco Bottalico, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Evaluating Content-based Pre-Training Strategies for a Knowledge-aware Recommender System based on Graph Neural Networks. UMAP (2024)
Charles Lang, Korinn S. Ostrow
Challenge variance: Exploiting format differences for personalized learner models. UMAP (2024)
Daniel Rosnes, Alain D. Starke, Christoph Trattner
Shaping the Future of Content-based News Recommenders: Insights from Evaluating Feature-Specific Similarity Metrics. UMAP (2024)
Javier Wang, Alejandro Bellogín, Iván Cantador
Integrating sentiment features in factorization machines: Experiments on music recommender systems. UMAP (2024)
Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
User Perceptions of Diversity in Recommender Systems. UMAP (2024)
Jessica Maria Echterhoff, Aditya Melkote, Sujen Kancherla, Julian J. McAuley
Avoiding Decision Fatigue with AI-Assisted Decision-Making. UMAP (2024)

2023