Enhancing Personalized Educational Content Recommendation through Cosine Similarity-Based Knowledge Graphs and Contextual Signals

Enhancing Personalized Educational Content Recommendation through Cosine Similarity-Based Knowledge Graphs and Contextual Signals

The extensive pool of content within educational software platforms can often overwhelm learners, leaving them uncertain about what materials to engage with. In this context, recommender systems offer significant support by customizing the content delivered to learners, alleviating the confusion and...

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Bibliographic Details
Main Authors: Christos Troussas, Akrivi Krouska, Panagiota Tselenti, Dimitrios K. Kardaras, Stavroula Barbounaki
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Information
Subjects:
knowledge graph
recommender system
intelligent tutoring system
educational software
learning content
learning style
Online Access:https://www.mdpi.com/2078-2489/14/9/505

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https://www.mdpi.com/2078-2489/14/9/505

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