Abstract
Recommender systems (RS) in their majority focus on an average target user: adults. We argue that for non-traditional populations in specific contexts, the task is not as straightforward–we must look beyond existing recommendation algorithms, premises for interface design, and standard evaluation metrics and frameworks. We explore the complexity of RS in an educational context for which young children are the target audience. The aim of this position paper is to spell out, label, and organize the specific layers of complexity observed in this context.
Original language | English |
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Title of host publication | Proceedings of the Workshop on Recommendation in Complex Scenarios |
Subtitle of host publication | co-located with 13th ACM Conference on Recommender Systems (RecSys 2019) Copenhagen, Denmark, September 20, 2019 |
Editors | Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin |
Publisher | Association for Computing Machinery |
Pages | 5-9 |
Number of pages | 5 |
Publication status | Published - 22 Sept 2019 |
Event | Workshop on Recommendation in Complex Scenarios 2019 - Scandic Falkoner hotel, Copenhagen, Denmark Duration: 20 Sept 2019 → 20 Oct 2019 https://recsys.acm.org/recsys19/complexrec/ |
Publication series
Name | CEUR Workshop Proceedings |
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Volume | 2449 |
ISSN (Electronic) | 1613-0073 |
Workshop
Workshop | Workshop on Recommendation in Complex Scenarios 2019 |
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Country/Territory | Denmark |
City | Copenhagen |
Period | 20/09/19 → 20/10/19 |
Internet address |
Keywords
- Children
- Recommender systems
- Education
- Roles
- Guidance
- Interface
- Algorithm
- Teachers