Designing Recommender Systems for the Common Good

Annelien Smets; Nils Walravens; Pieter Ballon

doi:10.1145/3386392.3399570

Designing Recommender Systems for the Common Good

Annelien Smets, Nils Walravens, Pieter Ballon

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

3 Citations (Scopus)

171 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	Adjunct Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization
Publisher	ACM
Pages	276-278
Number of pages	3
ISBN (Electronic)	978-1-4503-7950-2/20/07
DOIs	https://doi.org/10.1145/3386392.3399570
Publication status	Published - 14 Jul 2020
Event	28th ACM Conference on User Modeling, Adaptation and Personalization - , Italy Duration: 14 Jul 2020 → 17 Jul 2020

Conference

Conference	28th ACM Conference on User Modeling, Adaptation and Personalization
Abbreviated title	UMAP20
Country	Italy
Period	14/07/20 → 17/07/20

Keywords

multi-stakeholder recommendation
open data
participatory design
personalization

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10.1145/3386392.3399570

2020 - Designing Recommender Systems for the Common Good

Cite this

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abstract = "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.",

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KW - personalization

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Y2 - 14 July 2020 through 17 July 2020

ER -

Designing Recommender Systems for the Common Good

Abstract

Conference

Keywords

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