Recommender systems for children are only recently beginning to be studied and are primarily limited to recommenders in education-related environments. When focused on this particular audience, the role of a recommendation system needs to be reformulated, as it is not sufficient for recommenders to identify items that match users’ preferences and interests. Instead, it is imperative that they also explicitly consider children’s needs from multiple perspectives: educational, developmental, and engagement, to name a few.
We invite submissions related to recommender systems for children including topics on:
Technology for children
Recommender algorithms for children
Recommendation explanations, transparency,
Expert-in-the-Loop (e.g., teacher, parent)
Child-centered content domains (e.g., leisure, education)
User Profiling
Personalization
Gamification
Ethics
Privacy
08月27日
2017
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