Improving Dental Care Recommendation Systems Using Patient and Dentist Profiling

Publisher:
ACIS
Publication Type:
Conference Proceeding
Citation:
2014
Issue Date:
2014
Full metadata record
Files in This Item:
Filename Description Size
ThumbnailImproving Dental Care Recommendation Systems Using Profiling _ACIS2014.pdf Published version1.22 MB
Adobe PDF
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.
Please use this identifier to cite or link to this item: