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ORCID31st UMAP 2023: Limassol, Cyprus
- Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023, Limassol, Cyprus, June 26-29, 2023. ACM 2023, ISBN 978-1-4503-9932-6
Knowledge Graphs, Semantics, Social and Adaptive Web
- Giuseppe Spillo
, Cataldo Musto, Marco Polignano, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro:
Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations. 1-12
Intelligent User Interface
- Swati Mishra, Jeffrey M. Rzeszotarski:
Human Expectations and Perceptions of Learning in Machine Teaching. 13-24 - Panayiotis Andreou, Christos Amyrotos, Panagiotis Germanakos, Irene Polycarpou:
Human-centered Information Visualization Adaptation Engine. 25-33 - Suyog Chandramouli, Yifan Zhu, Antti Oulasvirta:
Interactive Personalization of Classifiers for Explainability using Multi-Objective Bayesian Optimization. 34-45 - Zhongli Filippo Hu, Noemi Mauro, Giovanna Petrone, Liliana Ardissono:
Service-based Presentation of Multimodal Information for the Justification of Recommender Systems Results. 46-53 - Thi Ngoc Trang Tran, Alexander Felfernig, Viet Man Le, Thi Minh Ngoc Chau, Thu Giang Mai:
User Needs for Explanations of Recommendations: In-depth Analyses of the Role of Item Domain and Personal Characteristics. 54-65
Personalization for Persuasive and Behavior Change Systems
- Somayeh Fatahi, Seyedeh Mina Mousavifar, Julita Vassileva:
Investigating the effectiveness of persuasive justification messages in fair music recommender systems for users with different personality traits. 66-77 - Ziwei Gao:
Personalizing Time Loss Aversion to Reduce Social Media Use. 78-84 - Mina Alipour, Mahyar Tourchi Moghaddam, Karthik Vaidhyanathan, Mikkel Baun Kjærgaard:
Toward Changing Users behavior with Emotion-based Adaptive Systems. 85-95 - Filipe Altoe, H. Sofia Pinto:
Towards a Personalized Online Fake News Taxonomy. 96-105
Personalizing Learning Experiences through User Modeling
- Ethan Prihar, Adam Sales, Neil T. Heffernan:
A Bandit You Can Trust. 106-115 - Akihiro Kobayashi, Yuichi Ishikawa, Kazushi Ikeda, Daisuke Kamisaka, Roberto Legaspi:
Composing Groups in Collaborative Learning by Pair Personality Differences. 116-123 - Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Curb Your Procrastination: A Study of Academic Procrastination Behaviors vs. A Planning and Time Management App. 124-134 - Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras:
How Close are Predictive Models to Teachers in Detecting Learners at Risk? 135-145 - Matthias Kraus, Nicolas Wagner, Ron Riekenbrauck, Wolfgang Minker:
Improving Proactive Dialog Agents Using Socially-Aware Reinforcement Learning. 146-155 - Vaibhav Krishna, Nino Antulov-Fantulin:
Temporal-Weighted Bipartite Graph Model for Sparse Expert Recommendation in Community Question Answering. 156-163
Personalized Recommender Systems
- David Massimo, Francesco Ricci:
Combining Reinforcement Learning and Spatial Proximity Exploration for New User and New POI Recommendations. 164-174 - Júlio B. G. Costa, Leandro Balby Marinho, Rodrygo L. T. Santos, Denis Parra:
Evaluating Pre-training Strategies for Collaborative Filtering. 175-182 - Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth:
Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations. 183-193 - Tamar Didi, Ido Guy, Amit Livne, Arnon Dagan, Lior Rokach, Bracha Shapira:
Promoting Tail Item Recommendations in E-Commerce. 194-203 - Bereket Abera Yilma, Luis A. Leiva:
Together Yet Apart: Multimodal Representation Learning for Personalised Visual Art Recommendation. 204-214
Research Methods and Reproducibility
- Sara Salimzadeh, Gaole He, Ujwal Gadiraju:
A Missing Piece in the Puzzle: Considering the Role of Task Complexity in Human-AI Decision Making. 215-227 - Aleix Ruiz de Villa, Gabriele Sottocornola, Ludovik Coba, Giovanni Maffei, Federico Lucchesi, João Guerreiro, Bartlomiej Skorulski:
Leveraging Causal Inference to Measure the Impact of a Mental Health App on Users' Well-being. 228-237
Responsibility, Compliance, and Ethics
- Karlijn Dinnissen, Christine Bauer:
Amplifying Artists' Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms. 238-249
Virtual Assistants, Conversational Interactions, and Personalized Human-robot Interaction
- Jie Cao, Ananya Ganesh, Jon Z. Cai, Rosy Southwell, E. Margaret Perkoff, Michael Regan, Katharina Kann, James H. Martin, Martha Palmer, Sidney D'Mello:
A Comparative Analysis of Automatic Speech Recognition Errors in Small Group Classroom Discourse. 250-262
Doctoral Consortium
- Robin Cromjongh:
Adaptive Context-Aware Planning Support for Students with Autism. 263-268 - Giuseppe Spillo:
Combining Heterogeneous Embeddings for Knowledge-Aware Recommendation Models. 269-273 - Ashmi Banerjee:
Fairness and Sustainability in Multistakeholder Tourism Recommender Systems. 274-279 - Amelie Nolte:
How To Model Users Through Their Abilities: A Methodological Perspective On Ability-Based Design. 280-284 - Hatim Alsayahani:
Overcoming Customisation Challenges in Information Dashboards. 285-289 - Vojtech Vancura:
Scalable and Explainable Linear Shallow Autoencoders for Collaborative Filtering from Industrial Perspective. 290-295 - Pavel Merinov:
Sustainability-oriented Recommender Systems. 296-300 - Qin Ruan, Brian Mac Namee, Ruihai Dong:
The Influence of Media Bias on News Recommender Systems. 301-305
Tutorials
- Pasquale Lops, Cataldo Musto, Marco Polignano:
Accountable Knowledge-aware Recommender Systems. 306-308 - Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca:
Tutorial on User Profiling with Graph Neural Networks and Related Beyond-Accuracy Perspectives. 309-312 - Ralph Deters, Julita Vassileva:
User Models as Digital Twins: Using Webassembly Techniques to ensure Privacy, Transparency and Control in Personalization. 313-314
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