Cited By
View all- Gan WChen GYin HFournier-Viger PChen CYu P(2022)Towards Revenue Maximization with Popular and Profitable ProductsACM/IMS Transactions on Data Science10.1145/34880582:4(1-21)Online publication date: 24-May-2022
Towards efficient dominant relationship exploration of the product items on the web
Pages 1205 - 1206
Abstract
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 cannot 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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- Towards efficient dominant relationship exploration of the product items on the web
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Published In
May 2007
1382 pages
ISBN:9781595936547
DOI:10.1145/1242572
- General Chairs:
- Carey Williamson,
- Mary Ellen Zurko,
- Program Chairs:
- Peter Patel-Schneider,
- Prashant Shenoy
Copyright © 2007 ACM.
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Publication History
Published: 08 May 2007
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Cited By
View all- Gan WChen GYin HFournier-Viger PChen CYu P(2022)Towards Revenue Maximization with Popular and Profitable ProductsACM/IMS Transactions on Data Science10.1145/34880582:4(1-21)Online publication date: 24-May-2022
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