A Case-Based Solution to the Cold-Start Problem in Group Recommenders

dc.conference.placeBeijing China
dc.conference.titleProceedings del 23rd International Joint Conference On Artificial Intelligence, IJCAI’13, AAAI
dc.contributor.authorQuijano-Sanchez, Lara
dc.contributor.authorBridge, Derek
dc.contributor.authorDíaz Agudo, María Belén
dc.contributor.authorRecio García, Juan Antonio
dc.date.accessioned2024-01-23T15:24:52Z
dc.date.available2024-01-23T15:24:52Z
dc.date.issued2013
dc.description.abstractIn this paper we offer a potential solution to the cold-start problem in group recommender systems. To do so, we use information about previous group recommendation events and copy ratings from a user who played a similar role in some previous group event. We show that copying in this way, i.e. conditioned on groups, is superior to copying nothing and also superior to copying ratings from the most similar user known to the system.
dc.description.departmentDepto. de Ingeniería de Software e Inteligencia Artificial (ISIA)
dc.description.facultyFac. de Informática
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.citationQuijano-Sánchez, L., Bridge, D., Díaz-Agudo, B., Recio-García, J.A. (2012). A Case-Based Solution to the Cold-Start Problem in Group Recommenders. In: Agudo, B.D., Watson, I. (eds) Case-Based Reasoning Research and Development. ICCBR 2012. Lecture Notes in Computer Science(), vol 7466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32986-9_26
dc.identifier.officialurlhttps://doi.org/10.1007/978-3-642-32986-9_26
dc.identifier.urihttps://hdl.handle.net/20.500.14352/94832
dc.language.isoeng
dc.page.final3046
dc.page.initial3042
dc.rights.accessRightsrestricted access
dc.subject.ucmInformática (Informática)
dc.subject.unesco33 Ciencias Tecnológicas
dc.titleA Case-Based Solution to the Cold-Start Problem in Group Recommenders
dc.typeconference paper
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublication95de81bf-4637-4307-8ff6-f2c06c591d18
relation.isAuthorOfPublication6e94b3e8-1cba-4505-9d17-a0c09a524300
relation.isAuthorOfPublication.latestForDiscovery95de81bf-4637-4307-8ff6-f2c06c591d18

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