可变用户偏好的Skyline查询算法
Efficient Skyline Querying with Variable User Preferences on Nominal Attributes
摘要：
目前的天际线评估技术假设一个固定的属性排序。然而，在已知的应用中，对标称属性的动态偏好更现实。为了生成任何这样的偏好由用户发出的在线响应，我们提出了两种不同的特点的方法。第一种是半物化方法，第二种是自适应SFS方法。最后，我们进行实验，以显示我们提出的算法的效率。
英文摘要：
Current skyline evaluation techniques assume a fixed ordering on the attributes. However, dynamic preferences on nominal attributes are more realistic in known applications. In order to generate online response for any such preference issued by a user, we propose two methods of different characteristics. The first one is a semi-materialization method and the second is an adaptive SFS method. Finally, we conduct experiments to show the efficiency of our proposed algorithms.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
