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dc.contributor.authorRuiz-Iniesta, Almudena
dc.contributor.authorMelgar, Luis
dc.contributor.authorBaldominos, Alejandro
dc.contributor.authorQuintana, David
dc.date2018
dc.date.accessioned2019-02-15T09:25:28Z
dc.date.available2019-02-15T09:25:28Z
dc.identifier.issn1875-905X
dc.identifier.urihttps://reunir.unir.net/handle/123456789/7878
dc.description.abstractSmile and Learn is an EdTech digital publisher that offers a smart library of close to 100 educational stories and gaming apps for mobile devices aimed at children aged 2 to 10 and their families. Given the complexity of navigating the content, a recommender system was developed. The system consists of two major components: one that generates content recommendations and another that provides explanations and recommendations relevant to parents and educators. The former was implemented as a hybrid recommender system that combines three kinds of recommendations. Among these, we introduce a collaborative filtering adapted to overcome specific limitations associated with younger users. The approach described in this work was tested on real users of the platform. The experimental results suggest that this recommendation model is suitable to suggest apps to children and increase their engagement in terms of usage time and number of games played.es_ES
dc.language.isoenges_ES
dc.publisherMobile Information Systemses_ES
dc.relation.ispartofseries;1374017
dc.relation.urihttps://www.hindawi.com/journals/misy/2018/1374017/es_ES
dc.rightsopenAccesses_ES
dc.subjectJCRes_ES
dc.subjectScopuses_ES
dc.titleImproving Children's Experience on a Mobile EdTech Platform through a Recommender Systemes_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES


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