Ulukbek Ibraev

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In assessing information retrieval systems, it is important to know not only the precision of the retrieved set, but also to compare the number of retrieved relevant items to the total number of relevant items. For large collections, such as the TREC test collections, or the World Wide Web, it is not possible to enumerate the entire set of relevant(More)
Some aspects of Data Fusion (DF) for Information Retrieval (IR) are explored using a set of data from the Fifth International Conference on Text Retrieval, TRECS. It has been observed from time to time that DF applied to a pair of systems or schemes for IR may yield results that are better than those of either participating scheme. It has been conjectured(More)
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