Improving dental care recommendation systems using patient and dentist profiling

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