Towards improving user-recommender systems interactions
Zhong, Jinfeng; Negre, Elsa (2021), Towards improving user-recommender systems interactions, 2022 IEEE/SICE International Symposium on System Integration (SII 2022), 2021-01, Narvi, NORWAY
TypeCommunication / Conférence
Conference title2022 IEEE/SICE International Symposium on System Integration (SII 2022)
MetadataShow full item record
Abstract (EN)Recent years have witnessed the increasing deployment of recommender systems as decision-support tools, application of recommender systems is ubiquitous in our daily life. As algorithms used in recommender systems become more inscrutable, some recommender systems remain blackbox for most people, which makes it difficult for people to fully trust such systems. Therefore, improving the user-recommender systems interactions is attracting increasing attention, one of the hot topics is explainable recommendation. In this paper, we investigate the possibility of providing context-aware explanations for recommendations and discuss the potential methods of evaluating such explanations.
Subjects / Keywordssystems interactions
Showing items related by title and author.
Evaluation of user satisfaction with OLAP recommender systems: an application to RecoOLAP on a agricultural energetic consumption datawarehouse Negre, Elsa; Bimonte, Sandro (2016) Article accepté pour publication ou publié