It is our great pleasure to welcome you to the UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM). This half-day workshop brings together researchers working on transparency and explainability in the context of methodologies for building user models and personalised systems. The spread of adaptive and personalized systems took its roots in the recent growth of (personal) data, which led to two different phenomena, namely the need for systems to support the users in sifting this huge flow of data and the definition of very precise and fine-grained user models, that in turn enabled very effective personalization and adaptation mechanisms. Nowadays, we are used to interact with algorithms that exploit such personal data to support us in several scenarios, such as suggesting music to be listened to or movies to be watched. These personalized and adaptive services are continuously evolving and are becoming part of our everyday life, increasingly acting as personal assistants able to proactively help us in complex decision-making tasks.
UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization
Musto, Cataldo;Polignano, Marco;Semeraro, Giovanni;
2020-01-01
Abstract
It is our great pleasure to welcome you to the UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM). This half-day workshop brings together researchers working on transparency and explainability in the context of methodologies for building user models and personalised systems. The spread of adaptive and personalized systems took its roots in the recent growth of (personal) data, which led to two different phenomena, namely the need for systems to support the users in sifting this huge flow of data and the definition of very precise and fine-grained user models, that in turn enabled very effective personalization and adaptation mechanisms. Nowadays, we are used to interact with algorithms that exploit such personal data to support us in several scenarios, such as suggesting music to be listened to or movies to be watched. These personalized and adaptive services are continuously evolving and are becoming part of our everyday life, increasingly acting as personal assistants able to proactively help us in complex decision-making tasks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.