Advanced Branch-and-Bound Reverse Skyline Query for User Preferred Data Recommendation on Big Data
Jongwan Kim, Dukshin Oh · Advanced science and technology letters · 2015
The skyline has studied for recommendation user preferred data in database field. Conventional skyline searches data object in 2D query point however there is a shortcoming that a user who is a query point finds data from 1-quardrant and it is difficult to search around data. Recommending objects is to consider user's preferences however traditional skyline uses a query point of origin (0, 0). Reversely, if objects search users' preferences and serve the information to user, this is more user-oriented scheme. Reverse skyline has studied to suggest user preferred data from objects. We proposed advanced branch-and-bound reverse skyline query to search exact object and recommend them to users. The scheme considers more space utilization according to division of search area. There are benefits for querying object such as searching time and CPU cost.