Transparent, Scrutable and Explainable User Models for Personalized Recommendation

Author:

Balog Krisztian1,Radlinski Filip1,Arakelyan Shushan2

Affiliation:

1. Google, London, United Kingdom

2. USC Information Sciences Institute, Marina Del Rey, CA, USA

Publisher

ACM

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1. Artificial Intelligence Alone Will Not Democratise Education: On Educational Inequality, Techno-Solutionism and Inclusive Tools;Sustainability;2024-01-16

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3. Leveraging Graph Neural Networks for User Profiling: Recent Advances and Open Challenges;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

4. Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System;International Journal of Human–Computer Interaction;2023-10-15

5. Trustworthy Recommender Systems;ACM Transactions on Intelligent Systems and Technology;2023-10-13

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