Although electronic commerce has been developed and deployed for more than two decades, an essential problem remains: How to help customers efficiently find the products that they want? Skyline queries were proposed to address the problem, and we study the skyline queries defined on rating data. A product is represented by attributes each of which is an aspect that customers perceive it and can be individually rated, and ratings given by some consumers to it can be aggregated to assist in processing queries for product search. Therefore, our approach uses the rating data to get more suitable search results for customers. We first define the skyline query upon ratings and then propose an algorithm for its processing. We further propose a presorting method to speed up the whole computation. Results from experiments indicate that by using the proposed method the execution time can be notably shortened.
Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings 20th Pacific Asia Conference on Information Systems, PACIS 2016; Chiayi; Taiwan; 27 June 2016 到 1 July 2016; 代碼 125137