Title
EPF: An Elderly Personalization Features Based Collaborative Filtering Algorithm for Pension Service
Abstract
How to recommend appropriate pension services to the elderly is an active research problem in health care fields in recent years. Traditional collaborative filtering(CF) algorithm does not take into account the elderly personalization features, which in turn leads to poor recommendation results. In this paper, an elderly personalization features based CF algorithm was proposed which can makes the recommended services meet the customer's personalized requirements. In the algorithm, personalized requirements form the elderly customers can be obtained by the classification of pension services. Based on classification results, the customer personalization features model can be built, in which customers are divided into several groups. Later, a personalized recommendation set is obtained according to the personalization features model. And, service similarity is calculated on the basis of customer ratings and the service category in the set. Finally the CF algorithm can be employed to detect appropriate pension services to the elderly. The experiments show that the algorithm can improve the accuracy of predicted ratings, as well as the satisfaction of elderly customers.
Year
DOI
Venue
2016
10.1109/ICSS.2016.36
2016 9th International Conference on Service Science (ICSS)
Keywords
Field
DocType
pension service,personalization,service recommendation
Health care,Collaborative filtering,Pension,Filter (signal processing),Algorithm,Prediction algorithms,Statistical classification,Personalization,Business
Conference
ISBN
Citations 
PageRank 
978-1-5090-2728-6
0
0.34
References 
Authors
2
4
Name
Order
Citations
PageRank
Junxiao Cong100.34
Chunshan Li200.34
Feifei Liu321.75
Dian-Hui Chu4314.21