A comprehensive survey on privacy-preserving techniques in federated recommendation systems
Big data is a rapidly growing field, and new developments are constantly emerging to
address various challenges. One such development is the use of federated learning for …
address various challenges. One such development is the use of federated learning for …
A survey on trustworthy recommender systems
Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y ** fairness objectives and identifying fairness metrics for recommender systems: The practitioners' perspective
Measuring and assessing the impact and “fairness''of recommendation algorithms is central
to responsible recommendation efforts. However, the complexity of fairness definitions and …
to responsible recommendation efforts. However, the complexity of fairness definitions and …
Intra-list similarity and human diversity perceptions of recommendations: the details matter
The diversity of the generated item suggestions can be an important quality factor of a
recommender system. In offline experiments, diversity is commonly assessed with the help …
recommender system. In offline experiments, diversity is commonly assessed with the help …