A Bandit You Can Trust
A Comparative Analysis of Automatic Speech Recognition Errors in Small Group Classroom Discourse
A Missing Piece in the Puzzle: Considering the Role of Task Complexity in Human-AI Decision Making
Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms
Combining Graph Neural Networks and Sentence Encoders for Knowledge-aware Recommendations
Combining Reinforcement Learning and Spatial Proximity Exploration for New User and New POI Recommendations
Composing Groups in Collaborative Learning by Pair Personality Differences
Curb your procrastination: A study of academic procrastination behaviors vs. a planning and time management app
Temporal-Weighted Bipartite Graph Model for Sparse Expert Recommendation in Community Question Answering
Evaluating Pre-training Strategies for Collaborative Filtering
Explainable and Accurate: Interactive Personalization of Classifiers for Explainability using Multi-Objective Bayesian Optimization
How Close are Predictive Models to Teachers in Detecting Learners at Risk?
Human Expectations and Perceptions of Learning in Machine Teaching
Human-centered Information Visualization Adaptation Engine
Improving Proactive Dialog Agents Using Socially-Aware Reinforcement Learning
Investigating the effectiveness of persuasive justification messages in fair music recommender systems for users with different personality traits
Leveraging Causal Inference to Measure the Impact of a Mental Health App on Users' Well-being
Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations
Personalizing Time Loss Aversion to Reduce Social Media Use
Promoting Tail Item Recommendations in E-Commerce
Service-based Presentation of Multimodal Information for the Justification of Recommender Systems Results
Together Yet Apart: Multimodal Representation Learning for Personalised Visual Art Recommendation
Toward Changing Users behavior with Emotion-based Adaptive Systems
Towards a Personalized Online Fake News Taxonomy
User Needs for Explanations of Recommendations: In-depth Analyses of the Role of Item Domain and Personal Characteristics
Ethan Prihar, Adam Sales and Neil Heffernan
Jie Cao, Ananya Ganesh, Jon Cai, Rosy Southwell, Margaret Perkoff, Michael Regan, Katharina Kann, James Martin, Martha Palmer and Sidney D'Mello
Sara Salimzadeh, Gaole He and Ujwal Gadiraju
Karlijn Dinnissen and Christine Bauer
Giuseppe Spillo, Cataldo Musto, Marco Polignano, Pasquale Lops, Marco de Gemmis and Giovanni Semeraro
David Massimo and Francesco Ricci
Akihiro Kobayashi, Yuichi Ishikawa, Kazushi Ikeda, Daisuke Kamisaka and Roberto Legaspi
Siqian Zhao, Shaghayegh Sahebi and Reza Feyzi Behnagh
Vaibhav Krishna and Nino Antulov-Fantulin
Júlio B. G. Costa, Leandro B. Marinho, Rodrygo L. T. Santos and Denis Parra
Suyog Chandramouli, Yifan Zhu and Antti Oulasvirta
Roberta Galici, Tanja Käser, Gianni Fenu and Mirko Marras
Swati Mishra and Jeff Rzeszotarski
Panayiotis Andreou, Christos Amyrotos, Panagiotis Germanakos and Irene Polycarpou
Matthias Kraus, Nicolas Wagner, Ron Riekenbrauck and Wolfgang Minker
Somayeh Fatahi, Seyedeh Mina Mousavifar and Julita Vassileva
Aleix Ruiz de Villa, João Guerreiro, Federico Lucchesi, Giovanni Maffei, Bartlomiej Skorulski, Gabriele Sottocornola and Ludovik Coba
Ciara Feely, Brian Caulfield, Aonghus Lawlor and Barry Smyth
Ziwei Gao
Tamar Didi, Ido Guy, Amit Livne, Arnon Dagan, Lior Rokach and Bracha Shapira
Zhongli Filippo Hu, Noemi Mauro, Giovanna Petrone and Liliana Ardissono
Bereket Abera Yilma and Luis Leiva
Mina Alipour, Mahyar Tourchi Moghaddam, Karthik Vaidhyanathan and Mikkel Baun Kjærgaard
Luis Filipe Altoe and H. Sofia Pinto
Thi Ngoc Trang Tran, Alexander Felfernig, Viet Man Le, Thi Minh Ngoc Chau and Thu Giang Mai