Improving dental care recommendation systems using patient and dentist profiling

Pradhan, S; Gay, V; Nepal, S

Improving dental care recommendation systems using patient and dentist profiling

Pradhan, S Gay, V

Nepal, S

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 25th Australasian Conference on Information Systems, ACIS 2014, 2014
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Pradhan, S	en_US
dc.contributor.author	Gay, V https://orcid.org/0000-0002-4301-1995	en_US
dc.contributor.author	Nepal, S	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Proceedings of the 25th Australasian Conference on Information Systems, ACIS 2014, 2014	en_US
dc.identifier.uri	http://hdl.handle.net/10453/33005
dc.description.abstract	Online 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 240 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_US
dc.relation.ispartof	Proceedings of the 25th Australasian Conference on Information Systems, ACIS 2014	en_US
dc.title	Improving dental care recommendation systems using patient and dentist profiling	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
dc.location.activity	Auckland, New Zealand
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Professional Practice and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Online 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 240 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.

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http://hdl.handle.net/10453/33005