Skyline and Top-k are two of the most important methods to extract information from datasets, but both come with their drawbacks, that's why lately some new technics that try to mix the features of the two have been studied. In this survey three new operators are analysed, F-Skyline, ORU/ORD, and ${\epsilon}$-Skyline. After giving the main ideas behind those and their properties, they are compered on 3 fundamental features such as personalization, cardinality control, and generalization to guide the user to choose the best one for any task.

翻译：Skyline和Top-k是从数据集中提取信息的两个最重要的方法,但两者都有其缺点,这就是为什么最近对试图将两者的特征混为一谈的一些新技术专家进行了研究的原因。在这次调查中,分析了三个新的操作员:F-Skyline、ORU/ORD和$-Skyline。在给出了这些操作及其属性背后的主要想法之后,它们根据个人化、基点控制、以及指导用户为任何任务选择最佳操作的概略等三个基本特征进行了合作。