IntRS 2024

Table of Contents

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• Comparative Explanations for Recommendation: Research Directions 1-14 PDF
  Daniel E. Acuna, Meysam Varasteh, Amanda Aird, Elizabeth McKinnie, Robin D. Burke
• Comparing User Interfaces for Customizing Multi-Objective Recommender Systems 15-28 PDF
  Patrik Dokoupil, Ludovico Boratto, Ladislav Peska
• Designing and Evaluating an Educational Recommender System with Different Levels of User Control 29-45 PDF
  Qurat Ul Ain (disambiguation), Rawaa Alatrash, Shoeb Ahmed Joarder, William Kana Tsoplefack, Mohamed Amine Chatti
• Bridging the Transparency Gap: Exploring Multi-Stakeholder Preferences for Targeted Advertisement Explanations 46-58 PDF
  Nava Tintarev, Daan Odijk, Dina Zilbershtein, Francesco Barile
• What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders 59-70 PDF
  Xinyi Wu (disambiguation), Bart P. Knijnenburg, Avinash Akella, Ruoyan Kong, Ruixuan Sun, Joseph A. Konstan
• Designing an Interpretable Interface for Contextual Bandits 71-80 PDF
  Andrew Maher, Rowan Swiers, Puli Liyanagama, Subash Prabanantham, Lancelot Lachartre, Matia Gobbo
• Social Circle-Enhanced Fashion Recommendations System 81-91 PDF
  Muhammad Afzaal, Aayesha Aayesha, Julia Neidhardt
• The Effect of Relational versus Anecdotal Explanations in Movie Domain Recommendations 92-102 PDF
  Liam de la Cour, Derek G. Bridge
• Intended Movie Experience: Linking Elicited Emotions to Eudaimonic and Hedonic Characteristics 103-112 PDF
  Marko Tkalcic, Arsen Matej Golubovikj, Osnat Mokryn
• The Importance of Cognitive Biases in the Recommendation Ecosystem: Evidence of Feature-Positive Effect, Ikea Effect, and Cultural Homophily 113-123 PDF
  Oleg Lesota, Shahed Masoudian, Markus Schedl
• Integrating the Mechanisms of Critiquing-based Recommendation into Constraint Solving 124-133 PDF
  Sebastian Lubos, Pavle Knezevic, Alexander Felfernig