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  • × author_ss:"Della Mea, V."
  • × author_ss:"Mizzaro, S."
  1. Della Mea, V.; Mizzaro, S.: Measuring retrieval effectiveness : a new proposal and a first experimental validation (2004) 0.00 
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    Abstract
    Most common effectiveness measures for information retrieval systems are based an the assumptions of binary relevance (either a document is relevant to a given query or it is not) and binary retrieval (either a document is retrieved or it is not). In this article, these assumptions are questioned, and a new measure named ADM (average distance measure) is proposed, discussed from a conceptual point of view, and experimentally validated an Text Retrieval Conference (TREC) data. Both conceptual analysis and experimental evidence demonstrate ADM's adequacy in measuring the effectiveness of information retrieval systems. Some potential problems about precision and recall are also highlighted and discussed.
    Type
    a
  2. Della Mea, V.; Demartini, G.; Di Gaspero, L.; Mizzaro, S.: Measuring retrieval effectiveness with Average Distance Measure (ADM) (2006) 0.00 
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    Abstract
    Most common effectiveness measures for information retrieval systems are based on the assumptions of binary relevance (either a document is relevant to a given query or it is not) and binary retrieval (either a document is retrieved or it is not). In this paper, we describe an information retrieval effectiveness measure named ADM (Average Distance Measure) that questions these assumptions. We compare ADM with other measures, discuss it from a conceptual point of view, and report some experimental results. Both conceptual analysis and experimental evidence demonstrate ADM adequacy in measuring the effectiveness of information retrieval systems.
    Type
    a

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