Supporting incremental join queries on ranked inputs
Apostol Natsev, Yuan-Chi Chang, et al.
VLDB 2001
As Internet information portal become prevalent for both Internet and Intranet, most existing Internet Application Server architectures are not scalable to support large amount of personalization, customization and content adaptation required. In this paper, we propose a framework to capture the information and content dissemination process. Furthermore, we propose a methodology to map this process to a distributed application server environment. By fully exploiting the intersections of user preference at multiple content processing stages, this new framework enables high hit ratio on processing, storage, and transmission of content and thus scales well to support a large number of clients.
Apostol Natsev, Yuan-Chi Chang, et al.
VLDB 2001
Chung-Sheng Li
IEEE Circuits and Systems Magazine
Matteo Manica, Jannis Born, et al.
npj Computational Materials
Shahram Ebadollahi, Lexing Xie, et al.
ICME 2006