Improving User Experience with Recommender Systems by Informing the Design of Recommendation Messages

Improving User Experience with Recommender Systems by Informing the Design of Recommendation Messages

Advice-giving systems such as decision support systems and recommender systems (RS) utilize algorithms to provide users with decision support by generating ‘advice’ ranging from tailored alerts for situational exception events to product recommendations based on preferences. Related extant research...

Full description

Bibliographic Details
Main Authors: Antoine Falconnet, Constantinos K. Coursaris, Joerg Beringer, Wietske Van Osch, Sylvain Sénécal, Pierre-Majorique Léger
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
human–computer Interaction
user experience
decision making
recommender systems
use intention
recommendation acceptance
Online Access:https://www.mdpi.com/2076-3417/13/4/2706

Internet

https://www.mdpi.com/2076-3417/13/4/2706

Similar Items