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To deal with the problem of too many answers returned from a Web database in response to a user query, this paper proposes a novel categorization approach which takes advantages of the user contextual preferences to construct a navigational tree in order to reduce the information overload. Based on the user original query, we first speculate how much the user cares about each attribute in the specified...
K-dominant skyline query has been proposed as an important operator for multi-criteria decision making, data mining and so on, this technology can reduce the large result sets of skyline query in high dimensional space. In this paper, a new concept was firstly proposed: k-dominant Skyline cube, which consists of all the k-dominant skylines. Although existing algorithms can compute every k-dominant...
Reverse top- k queries are rank-aware problems from the view of the product manufacturers, and have gained popularity in recent studies. In this paper, we propose a novel online algorithm for processing monochromatic reverse top- k queries. The algorithm is based on dual plane transformation and is about 10 times faster than existing algorithms. We also propose a data structure RIL (Ranking Inverted...
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