dc.contributor.author | Estivill-Castro, V | |
dc.contributor.author | Lombardi, M | |
dc.contributor.author | Marani, A | |
dc.date.accessioned | 2020-03-25T21:45:51Z | |
dc.date.available | 2020-03-25T21:45:51Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 9789897583674 | |
dc.identifier.doi | 10.5220/0007676300480057 | |
dc.identifier.uri | http://hdl.handle.net/10072/392626 | |
dc.description.abstract | Search 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.peerreviewed | Yes | |
dc.publisher | Scitepress | |
dc.relation.ispartofconferencename | 11th International Conference on Computer Supported Education CSEDU 2019 | |
dc.relation.ispartofconferencetitle | CSEDU 2019 - Proceedings of the 11th International Conference on Computer Supported Education | |
dc.relation.ispartofdatefrom | 2019-05-02 | |
dc.relation.ispartofdateto | 2019-05-04 | |
dc.relation.ispartoflocation | Heraklion, Crete, Greece | |
dc.relation.ispartofpagefrom | 48 | |
dc.relation.ispartofpagefrom | 10 pages | |
dc.relation.ispartofpageto | 57 | |
dc.relation.ispartofpageto | 10 pages | |
dc.relation.ispartofvolume | 2 | |
dc.subject.fieldofresearch | Specialist studies in education | |
dc.subject.fieldofresearchcode | 3904 | |
dc.title | Panel of attribute selection methods to rank features drastically improves accuracy in filtering web-pages suitable for education | |
dc.type | Conference output | |
dc.type.description | E1 - Conferences | |
dcterms.bibliographicCitation | Estivill-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.updated | 2020-03-25T21:40:37Z | |
dc.description.version | Version 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.hasfulltext | Full Text | |
gro.griffith.author | Estivill-Castro, Vladimir | |
gro.griffith.author | Marani, Alessandro | |
gro.griffith.author | Lombardi, Matteo | |