Schedule

All times are in CEST (GMT+2).

9:00 - 9:05 Welcome and introduction

9:05 - 09:35 Keynote by Xiting Wang, Microsoft Research Asia: "Evaluating Explainability in Recommendation: Current Practices and Opportunities."

9:35 - 10:05 Keynote by Dietmar Jannach, University of Klagenfurt: "Explaining Recommendations to End Users: Simple or Complex?"

10:05 - 10:35 Session "Explanation generation approaches"

Pairwise Review-Based Explanations for Voice Product Search (featured)

Gustavo Penha, Eyal Krikon and Vanessa Murdock

ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models (featured)

Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy and Gerhard Weikum

Counterfactual Explanations for Neural Recommenders (featured)

Khanh Hiep Tran, Azin Ghazimatin and Rishiraj Saha Roy

Automatic Generation of Natural Language Explanations (featured)

Aonghus Lawlor, Sixun Ouyang, Peter Dolog and Felipe Costa

Exploring the Role of Local and Global Explanations in Recommender Systems (featured)

Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popović and Daniel Weld

10:35 - 11:00 Break

11:00 - 11:30 Session "Evaluation approaches for explanations"

Evaluating the Explanation Tags of Online Food Delivery Recommendation: A Position Paper (perspective)

Yurou Zhao, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Yiding Sun and Jiaxin Mao

Investigating Users' Preferences for Explanation Tags on Online Delivery Platform (demo)

Yiding Sun, Yurou Zhao, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin and Jiaxin Mao

Recommender Systems with Knowledge Graphs: Recency, Popularity, and Diversity of Explanations (featured)

Giacomo Balloccu, Ludovico Boratto, Gianni Fenu and Mirko Marras

Argumentative explanations for interactive recommendations (featured)

Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, David Lagnado and Francesca Toni

11:30 - 12:00 Session "Effects of explanations"

A Survey on Effects of Adding Explanations to Recommender Systems (featured)

Alexandra Vultureanu-Albisi and Costin Badica

Why trust technology? Combining legal and individuals’ perspectives to enable trust in news personalisation. (featured)

Max van Drunen, Brahim Zarouali and Natali Helberger

The effect of explanations and algorithmic accuracy on visual recommender systems of artistic images (featured)

Denis Parra, Vicente Domínguez, Pablo Messina and Ivania Donoso-Guzmán

Nudging towards news diversity: A theoretical framework for facilitating diverse news consumption through recommender design (featured)

Nicolas Mattis, Philipp Masur, Judith Moeller and Wouter van Atteveldt

Towards Explainable AI: Assessing the Usefulness and Impact of Added Explainability Features in Legal Document Summarization (featured)

Milda Norkute, Nadja Herger, Leszek Michalak, Andrew Mulder and Sally Gao

12:00 - 12:30 Final discussion and conclusion