2004 | OriginalPaper | Buchkapitel
Scaling SDI Systems via Query Clustering and Aggregation
verfasst von : Xi Zhang, Liang Huai Yang, Mong Li Lee, Wynne Hsu
Erschienen in: Database Systems for Advanced Applications
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
XML-based Selective Dissemination of Information (SDI) systems aims to quickly deliver useful information to the users based on their profiles or user subscriptions. These subscriptions are specified in the form of XML queries. This paper investigates how clustering and aggregation of user queries can help scale SDI systems by reducing the number of document-subscription matchings required. We design a new distance function to measure the similarity of query patterns, and develop a filtering technique called YFilter* that is based on YFilter. Experiment results show that the proposed approach is able to achieve high precision, high recall, while reducing runtime requirement.