Designing Recommender Systems for the Common Good

The growing inclusion of information and communication tech- nologies 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.

Publication year:2020

Keywords:multi-stakeholder recommendation, open data, participatory design, personalization

Accessibility:Closed