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An emotional and context-aware model for adapting RSS news to users and groups

2009Book part Restricted access
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dc.contributor.authorVinagre, Eugénia
dc.contributor.authorMarreiros, Goreti
dc.contributor.authorRamos, Carlos
dc.contributor.authorFigueiredo, Lino
dc.date.accessioned2013-06-11T14:29:15Z
dc.date.available2013-06-11T14:29:15Z
dc.date.issued2009
dc.date.updated2013-05-22T11:01:44Z
dc.description.abstractThe exhibition of information does not always attend to the preferences and characteristics of the users, nor the context that involves the user. With the aim of overcoming this gap, we propose an emotional context-aware model for adapting information contents to users and groups. The proposed model is based on OCC and Big Five models to handle emotion and personality respectively. The idea is to adapt the representation of the information in order to maximize the positive emotional valences and minimize the negatives. To evaluate the proposed model it was developed a prototype for adapting RSS news to users and group of users.por
dc.identifier.doi10.1007/978-3-642-04686-5_16pt_PT
dc.identifier.isbn978-3-642-04685-8
dc.identifier.isbn978-3-642-04686-5
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10400.22/1672
dc.language.isoengpor
dc.publisherSpringer Berlin Heidelbergpor
dc.relation.ispartofseriesLecture Notes in Computer Science; Vol. 5816
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007/978-3-642-04686-5_16por
dc.subjectContext-awarepor
dc.subjectEmotionpor
dc.subjectRSSpor
dc.titleAn emotional and context-aware model for adapting RSS news to users and groupspor
dc.typebook part
dspace.entity.typePublication
oaire.citation.titleProgress in Artificial Intelligence - 14th Portuguese Conference on Artificial Intelligence, EPIA 2009, Aveiro, Portugal, October 12-15, 2009. Proceedingspor
oaire.citation.volumeVol. 5816
person.familyNameMarreiros
person.familyNameRamos
person.familyNameFigueiredo
person.givenNameGoreti
person.givenNameCarlos
person.givenNameLino
person.identifier.ciencia-idA412-138E-2389
person.identifier.ciencia-id1011-FAFC-AEBA
person.identifier.ciencia-idD21E-663F-11CE
person.identifier.orcid0000-0003-4417-8401
person.identifier.orcid0000-0002-5143-1711
person.identifier.orcid0000-0002-9375-4228
person.identifier.ridM-4583-2013
person.identifier.ridK-7403-2014
person.identifier.scopus-author-id9332465700
person.identifier.scopus-author-id7201559105
person.identifier.scopus-author-id7006640438
rcaap.rightsclosedAccesspor
rcaap.typebookPartpor
relation.isAuthorOfPublicationf084569f-09f5-4d00-b759-aa4a5802f051
relation.isAuthorOfPublication43ef055e-80e6-4b31-8400-2d3592927e03
relation.isAuthorOfPublication2b4c1659-86b2-453f-ab78-a3f2d3b81169
relation.isAuthorOfPublication.latestForDiscoveryf084569f-09f5-4d00-b759-aa4a5802f051

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