Towards automatic generation of relevance judgments for a test collection
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AbstractThis paper represents a new technique for building a relevance judgment list for information retrieval test collections without any human intervention. It is based on the number of occurrences of the documents in runs retrieved from several information retrieval systems and a distance based measure between the documents. The effectiveness of the technique is evaluated by computing the correlation between the ranking of the TREC systems using the original relevance judgment list (qrels) built by human assessors and the ranking obtained by using the newly generated qrels.
CitationMakary, M., Oakes, M., Yamout, F. (2016) 'Towards automatic generation of relevance judgments for a test collection', Eleventh International Conference on Digital Information Management, ICDIM 2016, September 19-21, Porto, Portugal: IEEE, pp. 121-126
JournalEleventh International Conference on Digital Information Management (ICDIM)
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