| dc.contributor.author | Kofod-Petersen, Anders | |
| dc.contributor.author | Langseth, Helge | |
| dc.date.accessioned | 2017-02-13T09:22:40Z | |
| dc.date.available | 2017-02-13T09:22:40Z | |
| dc.date.created | 2011-01-05T10:37:48Z | |
| dc.date.issued | 2010 | |
| dc.identifier.citation | Norwegian Artificial Intelligence Symposium, Gjøvik, 22 November 2010 | nb_NO |
| dc.identifier.isbn | 978-82-519-2704-8 | |
| dc.identifier.uri | http://hdl.handle.net/11250/2430375 | |
| dc.description.abstract | Location-based recommender systems in the tourist domain are increasingly becoming more and morepopular. However, these systems typically suffer from two problems: Not having sufficient information aboutthe user results in the cold start problem; and acquiring suitable user models can be problematic, the knowledgebottleneck problem. The work presented here demonstrates how stereotype modelling can be used as a suitabletool for acquiring knowledge and building user models for a Bayesian network based recommender system. | nb_NO |
| dc.language.iso | eng | nb_NO |
| dc.relation.ispartof | Proceedings of the second Norwegian Artificial Intelligence Symposium : November 22, 2010 Høgskolen i Gjøvik | |
| dc.title | Tourist Without a Cause | nb_NO |
| dc.type | Chapter | nb_NO |
| dc.description.version | acceptedVersion | |
| dc.source.pagenumber | 55-62 | nb_NO |
| dc.identifier.cristin | 517783 | |
| dc.description.localcode | This is the authors' accepted and refereed manuscript to the article. | nb_NO |
| cristin.unitcode | 194,63,10,0 | |
| cristin.unitname | Institutt for datateknikk og informasjonsvitenskap | |
| cristin.ispublished | true | |
| cristin.fulltext | postprint | |
| cristin.qualitycode | 1 | |
