Research in Information Retrieval shows performance improvement when many sources of evidence are combined to produce a ranking of documents. Most current approaches assess document relevance by computing a single score which aggregates values of some attributes or criteria. We propose a multiple criteria framework using an aggregation mechanism based on decision rules identifying positive and negative reasons for judging whether a document should get a better ranking than another. The resulting procedure also handles imprecision in criteria design. Experimental results are reported. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Farah, M., & Vanderpooten, D. (2006). A multiple criteria approach for information retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4209 LNCS, pp. 242–254). Springer Verlag. https://doi.org/10.1007/11880561_20
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