Resources for children are abundant, but finding suitable and appropriate resources for children in our information-rich society can be challenging. Due to this abundance of information, systems to find and recommend appropriate information for children are needed. Recommender systems (RS) for children have only recently begun to be researched. This area of research brings together researchers in education, child-development, computer scientists, designers, and more who address several issues including those related to education, algorithms, ethics, privacy, security. In this workshop we will: discuss and identify issues related to RS designed for children including challenges and limitations, discuss possible solutions to the identified challenges and plan for future research, and of critical importance work to build a community that explicitly looks at these critical issues. This workshop has a specific theme of educationally-related recommendations, but welcomes other child-oriented recommender system contributions.
This document was originally published in IDC '18 Proceedings of the 17th ACM Conference on Interaction Design and Children by ACM - Association for Computing Machinery. Copyright restrictions may apply. doi: 10.1145/3202185.3205866
Fails, Jerry Alan; Pera, Maria Soledad; Kucirkova, Natalia; and Garzotto, Franca. (2018). "International and Interdisciplinary Perspectives on Children & Recommender Systems (KidRec)". IDC '18 Proceedings of the 17th ACM Conference on Interaction Design and Children, 705-712.