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Relevance is generally understood as a multi-level and multi-dimensionalrelationship between an information need and an information object. However,traditional IR evaluation metrics naively assume mono-dimensionality. We ask:How to deal with multidimensional and graded relevance assessments in IRevaluation? Moreover, search result evaluation metrics neglect documentoverlaps and naively assume gains piling up as the searcher examines the rankedlist into greater length. Consequently, we examine: How to deal with documentoverlap in IR evaluation? The usability of a document for a person-in-need alsodepends on document usability attributes beyond relevance. Therefore, we ask:How to deal with usability attributes, and how to combine this withmultidimensional relevance assessments in IR evaluation? Finally, we ask how todefine a formal model, which deals with multidimensional graded relevanceassessments, document overlaps, and document usability attributes in a coherentframework serving IR evaluation?

A Blueprint of IR Evaluation Integrating Task and User Characteristics: Test Collection and Evaluation Metrics