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dc.contributor.authorPradhan, Sojenen_NZ
dc.contributor.authorGay, Valerieen_NZ
dc.contributor.authorNepal, Suryaen_NZ
dc.date.accessioned2014-12-04T01:20:00Z
dc.date.available2014-12-04T01:20:00Z
dc.date.copyright2014en_NZ
dc.date.issued2014-12-08en_NZ
dc.identifier.citationProceedings of the 25th Australasian Conference on Information Systems, 8th - 10th December, Auckland, New Zealand
dc.identifier.isbn978-1-927184-26-4
dc.identifier.urihttp://hdl.handle.net/10292/8053
dc.description.abstractOnline social networks are emerging in a fast pace as people have started to rely on the information presented on such platforms as a source for many day-to-day activities such as travel, shopping, healthcare, weather and even government services. However, the usage seems to be far less for the healthcare and dental care recommendation sites. This paper investigates whether adding profiling would make a difference in the quality of the recommendation. It analyses dentists’ qualities from online dental reviews. The patients are classified based on their dental behavior and type of personality obtained from a popular personality test. A survey on 207 participants confirms that participants with different personality prioritise dentists’ qualities differently when selecting their ideal dentist. From this finding, this paper recommends integrating subjective characteristics while profiling both dentists and patients in dental recommendation systems.en_NZ
dc.publisherACIS
dc.titleImproving Dental Care Recommendation Systems Using Patient and Dentist Profilingen_NZ
dc.typeConference Contribution
dc.rights.accessrightsOpenAccess


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