Personalizing the GAMS Cross-Index
Saverio Perugini, Priya Lakshminarayanan, Naren Ramakrishnan · VTechWorks (Virginia Tech) · 2000
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. 1