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    政大機構典藏 > 理學院 > 資訊科學系 > 會議論文 >  Item 140.119/112133
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/112133

    Title: Skyline query processing for rating data
    Authors: 徐國偉
    Chiu, Shu I
    Hsu, Kuowei
    Contributors: 資科系
    Keywords: Electronic commerce;Product search;Rating;Skyline query processing
    Date: 2016
    Issue Date: 2017-08-23 16:43:28 (UTC+8)
    Abstract: 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.
    Relation: 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
    Data Type: conference
    Appears in Collections:[資訊科學系] 會議論文

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