UMAP

Keyphrases

Publications

2023

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

2022