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Lightweight user modeling – a case study

dc.contributor.authorLuz, Nuno
dc.contributor.authorAnacleto, Ricardo
dc.contributor.authorMartins, Constantino
dc.contributor.authorAlmeida, Ana
dc.date.accessioned2013-04-29T15:21:27Z
dc.date.available2013-04-29T15:21:27Z
dc.date.issued2011
dc.date.updated2013-04-21T15:35:11Z
dc.description.abstractIn the context of previous publications, we propose a new lightweight UM process, intended to work as a tourism recommender system in a commercial environment. The new process tackles issues like cold start, gray sheep and over specialization through a rich user model and the application of a gradual forgetting function to the collected user action history. Also, significant performance improvements were achieved regarding the previously proposed UM process.por
dc.identifier.citation10.1007/978-3-642-19917-2_10pt_PT
dc.identifier.isbn978-3-642-19916-5
dc.identifier.isbn978-3-642-19917-2
dc.identifier.issn1867-5662
dc.identifier.urihttp://hdl.handle.net/10400.22/1472
dc.language.isoengpor
dc.publisherSpringer Berlin Heidelbergpor
dc.relation.ispartofseriesAdvances in Intelligent and Soft Computing; Vol. 89
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007/978-3-642-19917-2_10por
dc.subjectUser modelingpor
dc.subjectTourismpor
dc.subjectRecommendationpor
dc.titleLightweight user modeling – a case studypor
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage84por
oaire.citation.startPage77por
oaire.citation.titleHighlights in Practical Applications of Agents and Multiagent Systems - 9th International Conference on Practical Applications of Agents and Multiagent Systemspor
oaire.citation.volumeVol. 89
rcaap.rightsclosedAccesspor
rcaap.typebookPartpor

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