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An Adaptive Systems Approach to the Implementation and Evaluation of Digital Library Recommendation Systems

  • Johan Bollen
  • Luis M. Rocha
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1923)

Abstract

The focus for information retrieval systems in digital libraries has shifted from passive repositories of information to recommendation systems that actively participate in retrieving useful information, and can furthermore learn from the retrieval behavior of users. We propose a novel evaluation methodology for such systems based on the concepts of shared knowledge structures, and system development reliability and validity.

Keywords

Recommendation System Digital Library Semantic Proximity Journal Cluster Retrieval Behavior 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Johan Bollen
    • 1
  • Luis M. Rocha
    • 1
  1. 1.Computer Research and Applications GroupLos Alamos National LaboratoryLos AlamosUSA

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