User Preference Analysis for Most Frequent Peer/Dominator

IEEE Transactions on Knowledge and Data Engineering(2019)

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摘要
Given a set of objects O (such as hotels), each can be represented as a point in a multi-dimensional feature space where each dimension corresponds to one attribute of the objects (such as price). Given the preference of a customer, the objects in O not dominated by any other object (i.e., beat in all dimensions) are those worthy to be further considered. Such objects are known as skyline objects ...
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关键词
Approximation algorithms,Search problems,Information systems,Object recognition,Databases,Task analysis,Robustness
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