Paper Info
Title
Recommender systems: metric suggestion mechanisms applied to adaptable software dashboards
Abstract
Dashboards are software systems aiming to amplify cognition capitalizing on human perceptual abilities. As such, they have intrinsically a human-centric approach, meaning that their purpose is to support effective decision making. This has played a vital role in their success in business performance management, business intelligence, and internal control. However, as today's business requirements change rapidly and continuously, dashboards containing the same set of metrics throughout quickly become ineffective at conveying important information, especially when used by multiple users. This is one of the reasons for adopting the concept of "precooked" dashboards, i.e., building a default template that is useful to an average user.
Year
DOI
Venue
2020
10.1145/3368089.3418779
ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering Virtual Event USA November, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-7043-1
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Dragos Strugar110.75