2021 · 10 citations · 4 references
ComputingComputer ScienceHigher EducationInformation RetrievalKnowledge RepresentationRecommender SystemsEducational Recommender SystemsKnowledge-based RecommendationPersonalized SearchRecommendation SystemsUser ModelingGraduate CurriculumIntelligent User InterfacesKnowledge-based Recommendation SystemsRecommendation Systems For Education
We present Grapevine, a user-controlled recommender that enables undergraduate and graduate students to find a suitable research advisor. This system combines the ideas from the areas of exploratory search, user modeling, and recommender systems by employing state-of-the-art knowledge extraction, grape-based recommendation, and an intelligent user interface. In this paper, we demonstrate the system’s key components and how they work as a whole.
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