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

LUIS M. ROCHA and JOHAN BOLLEN
Complex Systems Modeling
Modeling, Algorithms, and Informatics Group (CCS-3)
Los Alamos National Laboratory, MS B256
Los Alamos, New Mexico 87545, USA
e-mail: rocha@lanl.gov or rocha@santafe.edu

Citation: Bollen, Johan, Luis M. Rocha [2000]. "An Adaptive Systems Approach to the Implementation and Evaluation of Digital Library Recommendation Systems." In: Research and Advanced Technology for Digital Libraries: 4th European Conference, ECDL 2000. Lectures Notes in Computer Science, Springer-Verlag, pp.356-359.

The full paper is available in Adobe Acrobat (.pdf) format. Here, only the abstract is available.

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 Systems, Information Retrieval, Web-related technologies, Collaborative Systems, Adaptive Systems, Distributed Artificial Intelligence, Human-machine Interaction, Communities of Agents, Agent-based simulation.


For more information contact Luis Rocha at rocha@indiana.edu.
Last Modified: September 02, 2004