论文信息 - Efficient Profile Matching for Large Scale Webcasting

Efficient Profile Matching for Large Scale Webcasting

This paper presents an efficient method of matching diverse data against user profiles in large-scale Webcasting systems. Its design and implementation are described in the context of the Grand Central Station (GCS) project at IBM Almaden Research Center. Initial performance evaluation indicates the ability of GCS profile matching to scale up and achieve strong performance via dynamic adaptation.

[1] Hector Garcia-Molina,et al. SIFT - a Tool for Wide-Area Information Dissemination , 1995, USENIX.

[2] Hector Garcia-Molina,et al. Index structures for selective dissemination of information under the Boolean model , 1994, TODS.

[3] Udi Manber,et al. A FAST ALGORITHM FOR MULTI-PATTERN SEARCHING , 1999 .

[4] Peter B. Danzig,et al. The Harvest Information Discovery and Access System , 1995, Comput. Networks ISDN Syst..

[5] Peter M. Schwarz,et al. The Rufus System: Information Organization for Semi-Structured Data , 1993, VLDB.

[6] Joseph M. Hellerstein,et al. Practical predicate placement , 1994, SIGMOD '94.