Title
Designing Recommender Systems for the Common Good
Abstract
The growing inclusion of information and communication technologies in our everyday life sets the scene for the development of personalized public services. Their public character brings along challenges that have not necessarily been dealt with in commercial applications, especially in terms of optimizing for the common good which requires moving away from a purely personalized-oriented approach. In this paper, we claim that to address these challenges, we can learn from two best practices in the design of digital public services: participatory design and open data.
Year
DOI
Venue
2020
10.1145/3386392.3399570
UMAP '20: 28th ACM Conference on User Modeling, Adaptation and Personalization Genoa Italy July, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-7950-2
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Annelien Smets100.34
Nils Walravens2399.06
Pieter Ballon312425.44