Multidimensional Relevance: A New Aggregation Criterion

作者: Célia da Costa Pereira , Mauro Dragoni , Gabriella Pasi

DOI: 10.1007/978-3-642-00958-7_25

关键词:

摘要: In this paper, a new model for aggregating multiple criteria evaluations relevance assessment is proposed. An information retrieval context considered, where modelled as multidimensional property of documents. the proposed aggregation operator applied to define personalized Information Retrieval (IR), in which four are considered order assess document relevance: aboutness , coverage appropriateness and reliability . The originality approach lies prioritized way, by considering existence prioritization relationship over criteria. Such modeled making weights associated with criterion dependent upon satisfaction higher-priority This it possible take into account fact that weight less important should be proportional degree more criterion. In some preliminary experimental results also reported.

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