An Extended Skyline Computation Scheme for Recommendation Services m Mobile Environments
Jihyun Kim, Myung Kyun Kim · 2012
The skyline of a multidimensional data set is defined to be the subset whose elements are optimal to the user's requirements, Thus, the skyline of a multidimensional data set is very useful for recommendation systems, Especially, in case the values of all the dimensional attributes of the set are pre-determined, skyline computation can be done in advance of the recommendation services, However, in a mobile environment where the user is moving around, his/her location should also be considered for recommendation services, In this study, in order to enhance the quality of the recommendation services, we define an extended skyline, propose an efficient scheme for computing the skyline, The effectiveness of the scheme is shown by experiments.