Improving Dental Care Recommendation Systems Using Patient and Dentist Profiling
|dc.identifier.citation||Proceedings of the 25th Australasian Conference on Information Systems, 8th - 10th December, Auckland, New Zealand|
|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 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.title||Improving Dental Care Recommendation Systems Using Patient and Dentist Profiling||en_NZ|
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Proceedings of the 25th Australasian Conference on Information Systems, 8th - 10th December, Auckland, New Zealand 
The Australasian Conference on Information Systems (ACIS) is the premier conference in Australasia for Information Systems academics and professionals, covering technical, organisational, business, and social issues in the application of Information Technology.