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Relevance maximization for high-recall retrieval problem: finding all needles in a haystack.

, и . J. Supercomput., 76 (10): 7734-7757 (2020)

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An effective High Recall Retrieval method., , и . Data Knowl. Eng., (2019)Relevance maximization for high-recall retrieval problem: finding all needles in a haystack., и . J. Supercomput., 76 (10): 7734-7757 (2020)Search result diversification using data envelopment analysis., , , и . EDB, стр. 156-158. ACM, (2016)Retrieving patents with inverse patent category frequency., , и . BigComp, стр. 109-114. IEEE Computer Society, (2016)A Network-Flow Based Influence Propagation Model for Social Networks., , , и . CGC, стр. 601-608. IEEE Computer Society, (2012)Discussions on Subgraph Ranking for Keyworded Search., , , , и . iThings/GreenCom/CPSCom/SmartData, стр. 935-936. IEEE, (2018)Reducing Noises for Recall-Oriented Patent Retrieval., , и . BDCloud, стр. 579-586. IEEE Computer Society, (2014)Maximum Reliable Tree for Social Network Search., , , и . DASC, стр. 1243-1249. IEEE Computer Society, (2011)Information Technology-Based Patent Retrieval Models., , и . Springer Handbook of Science and Technology Indicators, Springer, (2019)High Recall-Low Cost Model for Patent Retrieval., и . BigDAS, стр. 213-216. ACM, (2015)