document: Towards efficient dominant relationship exploration of the product items on the web In recent years , there has been a prevalence of search engines being employed to find useful information in the Web as they efficiently explore hyperlinks between web pages which define a natural graph structure that yields a good ranking . Unfortunately , current search engines can not effectively rank those relational data , which exists on dynamic websites supported by online databases . In this study , to rank such structured data ( i.e. , find the `` best '' items ) , we propose an integrated online system consisting of compressed data structure to encode the dominant relationship of the relational data . Efficient querying strategies and updating scheme are devised to facilitate the ranking process . Extensive experiments illustrate the effectiveness and efficiency of our methods . As such , we believe the work in this poster can be complementary to traditional search engines .
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