| 2023 | A Bandit You Can Trust. Ethan Prihar, Adam Sales, Neil T. Heffernan |
| 2023 | A Comparative Analysis of Automatic Speech Recognition Errors in Small Group Classroom Discourse. Jie Cao, Ananya Ganesh, Jon Z. Cai, Rosy Southwell, E. Margaret Perkoff, Michael Regan, Katharina Kann, James H. Martin, Martha Palmer, Sidney D'Mello |
| 2023 | A Missing Piece in the Puzzle: Considering the Role of Task Complexity in Human-AI Decision Making. Sara Salimzadeh, Gaole He, Ujwal Gadiraju |
| 2023 | Accountable Knowledge-aware Recommender Systems. Pasquale Lops, Cataldo Musto, Marco Polignano |
| 2023 | Adaptive Context-Aware Planning Support for Students with Autism. Robin Cromjongh |
| 2023 | Amplifying Artists' Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms. Karlijn Dinnissen, Christine Bauer |
| 2023 | Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations. Giuseppe Spillo, Cataldo Musto, Marco Polignano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro |
| 2023 | Combining Heterogeneous Embeddings for Knowledge-Aware Recommendation Models. Giuseppe Spillo |
| 2023 | Combining Reinforcement Learning and Spatial Proximity Exploration for New User and New POI Recommendations. David Massimo, Francesco Ricci |
| 2023 | Composing Groups in Collaborative Learning by Pair Personality Differences. Akihiro Kobayashi, Yuichi Ishikawa, Kazushi Ikeda, Daisuke Kamisaka, Roberto Legaspi |
| 2023 | Curb Your Procrastination: A Study of Academic Procrastination Behaviors vs. A Planning and Time Management App. Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh |
| 2023 | Evaluating Pre-training Strategies for Collaborative Filtering. Júlio B. G. Costa, Leandro Balby Marinho, Rodrygo L. T. Santos, Denis Parra |
| 2023 | Fairness and Sustainability in Multistakeholder Tourism Recommender Systems. Ashmi Banerjee |
| 2023 | How Close are Predictive Models to Teachers in Detecting Learners at Risk? Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras |
| 2023 | How To Model Users Through Their Abilities: A Methodological Perspective On Ability-Based Design. Amelie Nolte |
| 2023 | Human Expectations and Perceptions of Learning in Machine Teaching. Swati Mishra, Jeffrey M. Rzeszotarski |
| 2023 | Human-centered Information Visualization Adaptation Engine. Panayiotis Andreou, Christos Amyrotos, Panagiotis Germanakos, Irene Polycarpou |
| 2023 | Improving Proactive Dialog Agents Using Socially-Aware Reinforcement Learning. Matthias Kraus, Nicolas Wagner, Ron Riekenbrauck, Wolfgang Minker |
| 2023 | Interactive Personalization of Classifiers for Explainability using Multi-Objective Bayesian Optimization. Suyog Chandramouli, Yifan Zhu, Antti Oulasvirta |
| 2023 | Investigating the effectiveness of persuasive justification messages in fair music recommender systems for users with different personality traits. Somayeh Fatahi, Seyedeh Mina Mousavifar, Julita Vassileva |
| 2023 | Leveraging Causal Inference to Measure the Impact of a Mental Health App on Users' Well-being. Aleix Ruiz de Villa, Gabriele Sottocornola, Ludovik Coba, Giovanni Maffei, Federico Lucchesi, João Guerreiro, Bartlomiej Skorulski |
| 2023 | Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations. Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth |
| 2023 | Overcoming Customisation Challenges in Information Dashboards. Hatim Alsayahani |
| 2023 | Personalizing Time Loss Aversion to Reduce Social Media Use. Ziwei Gao |
| 2023 | Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023, Limassol, Cyprus, June 26-29, 2023 |
| 2023 | Promoting Tail Item Recommendations in E-Commerce. Tamar Didi, Ido Guy, Amit Livne, Arnon Dagan, Lior Rokach, Bracha Shapira |
| 2023 | Scalable and Explainable Linear Shallow Autoencoders for Collaborative Filtering from Industrial Perspective. Vojtech Vancura |
| 2023 | Service-based Presentation of Multimodal Information for the Justification of Recommender Systems Results. Zhongli Filippo Hu, Noemi Mauro, Giovanna Petrone, Liliana Ardissono |
| 2023 | Sustainability-oriented Recommender Systems. Pavel Merinov |
| 2023 | Temporal-Weighted Bipartite Graph Model for Sparse Expert Recommendation in Community Question Answering. Vaibhav Krishna, Nino Antulov-Fantulin |
| 2023 | The Influence of Media Bias on News Recommender Systems. Qin Ruan, Brian Mac Namee, Ruihai Dong |
| 2023 | Together Yet Apart: Multimodal Representation Learning for Personalised Visual Art Recommendation. Bereket Abera Yilma, Luis A. Leiva |
| 2023 | Toward Changing Users behavior with Emotion-based Adaptive Systems. Mina Alipour, Mahyar Tourchi Moghaddam, Karthik Vaidhyanathan, Mikkel Baun Kjærgaard |
| 2023 | Towards a Personalized Online Fake News Taxonomy. Filipe Altoe, H. Sofia Pinto |
| 2023 | Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives. Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca |
| 2023 | User Models as Digital Twins: Using Webassembly Techniques to ensure Privacy, Transparency and Control in Personalization. Ralph Deters, Julita Vassileva |
| 2023 | 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, Thu Giang Mai |