2019 · 11 citations · 2 references
ComputingEducational TechnologyRecommender SystemsUser Experience DesignVisual AnalyticsCold-start RecommendationCollaborative FilteringContent-based RecommendationEducational Recommender SystemsOnline RecommendationUser ModelingAdult GuidanceCold Start MitigationCold-start ProblemGuidanceImage-based RecommendationRecommendation InterfacesUser Cold-start Recommendation
We present StoryTime, a book recommender for children. Our web-based recommender is co-designed with children and uses images to elicit their preferences. By building on existing solutions related to both visual interfaces and book recommendation strategies for children, StoryTime can generate suggestions without historical data or adult guidance. We discuss the benefits of StoryTime as a starting point for further research exploring the cold start problem, incorporating historical data, and needs related to children as a complex audience to enhance the recommendation process.
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