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Accepted Long papers
IPreMom: A Continual Learning-Based Image Rating Framework for Infant Precious Moments Capturing
Authors: Yu Huang, Ju-Hui Tseng, Ching-Jui Hsiao, Hui-Mei Hung and Vincent S. Tseng
Shap-enhanced counterfactual explanations for recommendations
Authors: ELSA NEGRE and JINFENG ZHONG
GAN-based Matrix Factorization for Recommender Systems
Authors: Ervin Dervishaj and Paolo Cremonesi
Predicting links in a social network based on recognised personalities
Authors: Andrew Aquilina and Charlie Abela
F2VAE: A Framework for Mitigating User Unfairness in Recommendation Systems
Authors: Rodrigo Borges and Kostas Stefanidis
Rating consistency is consistently underrated: An exploratory analysis of movie-tag rating inconsistency
Authors: Denis Kotkov, Alan Medlar, Umesh Raj Satyal, Alexandr Maslov, Mats Neovius and Dorota Glowacka
Accepted Short/Poster papers
On the Impact of Data Sampling on Hyper-parameter Optimisation of Recommendation Algorithms
Authors: Matteo Montanari, Cesare Bernardis and Paolo Cremonesi
Bias Disparity in Graph-Based Collaborative Filtering Recommenders
Authors: Georgios Boltzis and Evaggelia Pitoura
Track on Recommender Systems: Theory, User Interactions & Applications 