Recommender system of educational resources: a critiquing-based proposal

Resumen: The learning objects recommending systems designed in the last decade employ different recommendation techniques, which mainly use collaborative filtering and contentbased filtering. This paper aims to analyze a new recommendation approach, that has not been yet applied to learning object...

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Detalles Bibliográficos
Autores principales: Giustozzi, Franco, Casali, Ana, Deco, Claudia, Lemos dos Santos, Henrique, Cechinel, Cristian
Formato: Documento de conferencia
Lenguaje:Español
Publicado: IEEE 2023
Materias:
OBJETOS DE APRENDIZAJE
DESCUBRIMIENTO
RECUPERACION DE INFORMACION
EXPERIENCIA DEL USUARIO
Acceso en línea:https://repositorio.uca.edu.ar/handle/123456789/15842
Aporte de:
Repositorio Institucional de la Universidad Católica Argentina (UCA) de Universidad Católica Argentina
id I33-R139-123456789-15842
record_format dspace
institution Universidad Católica Argentina
institution_str I-33
repository_str R-139
collection Repositorio Institucional de la Universidad Católica Argentina (UCA)
language Español
topic OBJETOS DE APRENDIZAJE
DESCUBRIMIENTO
RECUPERACION DE INFORMACION
EXPERIENCIA DEL USUARIO
spellingShingle OBJETOS DE APRENDIZAJE
DESCUBRIMIENTO
RECUPERACION DE INFORMACION
EXPERIENCIA DEL USUARIO
Giustozzi, Franco
Casali, Ana
Deco, Claudia
Lemos dos Santos, Henrique
Cechinel, Cristian
Recommender system of educational resources: a critiquing-based proposal
topic_facet OBJETOS DE APRENDIZAJE
DESCUBRIMIENTO
RECUPERACION DE INFORMACION
EXPERIENCIA DEL USUARIO
description Resumen: The learning objects recommending systems designed in the last decade employ different recommendation techniques, which mainly use collaborative filtering and contentbased filtering. This paper aims to analyze a new recommendation approach, that has not been yet applied to learning objects communities, called critiquing-based recommendation. This approach gathers the users preferences through an interaction based on examples and critiques. This feedback helps the system to recommend the most suitable learning resources. In this work we propose an hybrid recommender system of open educational resources that combines collaborative filtering and critiquing-based techniques. A prototype using MERLOT data and considering just one round of interaction was built in order to evaluate the recommendation results amongst a small group of volunteers. Preliminary results pointed out that the relevance of recommended learning resources increases as the system receives the users feedback and generates new recommendations based on it.
format Documento de conferencia
author Giustozzi, Franco
Casali, Ana
Deco, Claudia
Lemos dos Santos, Henrique
Cechinel, Cristian
author_facet Giustozzi, Franco
Casali, Ana
Deco, Claudia
Lemos dos Santos, Henrique
Cechinel, Cristian
author_sort Giustozzi, Franco
title Recommender system of educational resources: a critiquing-based proposal
title_short Recommender system of educational resources: a critiquing-based proposal
title_full Recommender system of educational resources: a critiquing-based proposal
title_fullStr Recommender system of educational resources: a critiquing-based proposal
title_full_unstemmed Recommender system of educational resources: a critiquing-based proposal
title_sort recommender system of educational resources: a critiquing-based proposal
publisher IEEE
publishDate 2023
url https://repositorio.uca.edu.ar/handle/123456789/15842
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AT casaliana recommendersystemofeducationalresourcesacritiquingbasedproposal
AT decoclaudia recommendersystemofeducationalresourcesacritiquingbasedproposal
AT lemosdossantoshenrique recommendersystemofeducationalresourcesacritiquingbasedproposal
AT cechinelcristian recommendersystemofeducationalresourcesacritiquingbasedproposal
bdutipo_str Repositorios
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