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dc.contributor.authorEstivill-Castro, V
dc.contributor.authorLombardi, M
dc.contributor.authorMarani, A
dc.date.accessioned2020-03-25T21:45:51Z
dc.date.available2020-03-25T21:45:51Z
dc.date.issued2019
dc.identifier.isbn9789897583674
dc.identifier.doi10.5220/0007676300480057
dc.identifier.urihttp://hdl.handle.net/10072/392626
dc.description.abstractSearch engines and recommender system take advantage of user queries, characteristics, preferences or perceived needs for filtering results. In contexts such as education, considering the purpose of a resource is also fundamental. A document not suitable for learning, although well related to the query, should never be recommended to a student. However, users are currently obliged to spend additional time and effort for matching the machine-filtered results to their purpose. This paper presents a method for automatically filtering web-pages according to their educational usefulness. Our ground truth is a dataset where items are web-pages classified as relevant for education or not. Then, we present a new feature selection method for lowering the number of attributes of the items. We build a committee of feature selection methods, but do not use it as an ensemble. A comprehensive evaluation of our approach against current practices in feature selection and feature reduction demonstrates that our proposal 1) enables state-of-the-art classifiers to perform a significantly faster, yet very accurate, automatic filtering of educational resources, and 2) such filtering meaningfully considers the usefulness of the resource for educational tasks.
dc.description.peerreviewedYes
dc.publisherScitepress
dc.relation.ispartofconferencename11th International Conference on Computer Supported Education CSEDU 2019
dc.relation.ispartofconferencetitleCSEDU 2019 - Proceedings of the 11th International Conference on Computer Supported Education
dc.relation.ispartofdatefrom2019-05-02
dc.relation.ispartofdateto2019-05-04
dc.relation.ispartoflocationHeraklion, Crete, Greece
dc.relation.ispartofpagefrom48
dc.relation.ispartofpagefrom10 pages
dc.relation.ispartofpageto57
dc.relation.ispartofpageto10 pages
dc.relation.ispartofvolume2
dc.subject.fieldofresearchSpecialist studies in education
dc.subject.fieldofresearchcode3904
dc.titlePanel of attribute selection methods to rank features drastically improves accuracy in filtering web-pages suitable for education
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationEstivill-Castro, V; Lombardi, M; Marani, A, Panel of attribute selection methods to rank features drastically improves accuracy in filtering web-pages suitable for education, CSEDU 2019 - Proceedings of the 11th International Conference on Computer Supported Education, 2019, 2, pp. 48-57
dc.date.updated2020-03-25T21:40:37Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2019 ScitePress. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
gro.hasfulltextFull Text
gro.griffith.authorEstivill-Castro, Vladimir
gro.griffith.authorMarani, Alessandro
gro.griffith.authorLombardi, Matteo


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