Document Type
Article
Publication Date
2000
Abstract
The NIST Guide to Available Mathematical Software (GAMS) system at http://gams.nist .gov serves as the gateway to thousands of scientific codes and modules for numerical computation. We describe the PIPE personalization facility for GAMS, whereby content from the cross-index is specialized for a user desiring software recommendations for a specific problem instance. The key idea is to (i) mine structure, and (ii) exploit it in a programmatic manner to generate personalized web pages. Our approach supports both content-based and collaborative personalization and enables information integration from multiple (and complementary) web resources. We present case studies for the domain of linear, second-order, elliptic partial differential equations that indicate strong empirical evidence for the usefulness of our semi-automatic approach.
Document Version
Published Version
eCommons Citation
Perugini, Saverio; Lakshminarayanan, Priya; and Ramakrishnan, Naren, "Personalizing the GAMS Cross-index" (2000). Computer Science Faculty Publications. 36.
https://ecommons.udayton.edu/cps_fac_pub/36
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Databases and Information Systems Commons, Graphics and Human Computer Interfaces Commons, Numerical Analysis and Scientific Computing Commons, OS and Networks Commons, Other Computer Sciences Commons, Systems Architecture Commons, Theory and Algorithms Commons
