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This paper is about an information retrieval evaluation on three differentretrieval-supporting services. All three services were designed to compensatetypical problems that arise in metadata-driven Digital Libraries, which are notadequately handled by a simple tf-idf based retrieval. The services are: (1) aco-word analysis based query expansion mechanism and re-ranking via (2)Bradfordizing and (3) author centrality. The services are evaluated withrelevance assessments conducted by 73 information science students. Since thestudents are neither information professionals nor domain experts the questionof inter-rater agreement is taken into consideration. Two importantimplications emerge: (1) the inter-rater agreement rates were mainly fair tomoderate and (2) after a data-cleaning step which erased the assessments withpoor agreement rates the evaluation data shows that the three retrievalservices returned disjoint but still relevant result sets.

Implications of Inter-Rater Agreement on a Student Information Retrieval Evaluation