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Principled Multi-Aspect Evaluation Measures of Rankings

Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma

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Abstract

Information Retrieval evaluation has traditionally focused on defining principled ways of assessing the relevance of a ranked list of documents with respect to a query. Several methods extend this type of evaluation beyond relevance, making it possible to evaluate different aspects of a document ranking (e.g., relevance, usefulness, or credibility) using a single measure (multi-aspect evaluation). However, these methods either are (i) tailor-made for specific aspects and do not extend to other types or numbers of aspects, or (ii) have theoretical anomalies, e.g. assign maximum score to a ranking where all documents are labelled with the lowest grade with respect to all aspects (e.g., not relevant, not credible, etc.).

Topics & Concepts

Computer scienceData scienceInformation Retrieval and Search BehaviorExpert finding and Q&A systemsSemantic Web and Ontologies