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Personalizing the GAMS Cross-index
Computer Science Faculty Publications
  • Saverio Perugini, University of Dayton
  • Priya Lakshminarayanan, Virginia Polytechnic Institute and State University
  • Naren Ramakrishnan, Virginia Polytechnic Institute and State University
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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.
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Citation Information
Saverio Perugini, Priya Lakshminarayanan and Naren Ramakrishnan. "Personalizing the GAMS Cross-index" (2000)
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