An Adaptive Systems Approach to the Implementation and Evaluation of Digital Library Recommendation Systems
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.
KeywordsRecommendation System Digital Library Semantic Proximity Journal Cluster Retrieval Behavior
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