Capítulo de Libro
Link Recommendation in E-Learning Systems Based on Content-Based Student Profiles
Título del libro: Handbook of Educational Data Mining
Fecha de publicación:
2010
Editorial:
CRC Press - Taylor & Francis Group
ISBN:
978-1-4398-0457-5
Idioma:
Inglés
Clasificación temática:
Resumen
E-learning systems present to students learning material carefully prepared and organized by teachers to meet some course goals. However, further relevant information that can help students to complete their learning process about different subjects can also be found on the Web in the form of Web pages, articles, encyclopedias, dictionaries, etc. In this chapter, we present a personalized recommendation approach to suggest relevant Web pages to students according to the context of the activities they are carrying out and their content-based profiles. Learning of user profiles is based on a clustering analysis of learning experiences captured through observation. Afterwards, the learned profiles as well as the more recently accessed documents in a Web-based learning system are used to recommend pages gathered by searching the Web.
Palabras clave:
USER PROFILING
,
RECOMMENDER SYSTEMS
,
E-LEARNING
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Capítulos de libros de INSTITUTO SUPERIOR DE INGENIERIA DEL SOFTWARE
Capítulos de libros de INSTITUTO SUPERIOR DE INGENIERIA DEL SOFTWARE
Citación
Godoy, Daniela Lis; Amandi, Analia Adriana; Link Recommendation in E-Learning Systems Based on Content-Based Student Profiles; CRC Press - Taylor & Francis Group; 2010; 273-286
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