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Efficiency Implications of Term Weighting for Passage Retrieval.

, , , и . SIGIR, стр. 1821-1824. ACM, (2020)

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Joel M LeMon

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Boosting Search Performance Using Query Variations., , , и . CoRR, (2018)Examining the Additivity of Top-k Query Processing Innovations., и . CIKM, стр. 1085-1094. ACM, (2020)Accelerated Query Processing Via Similarity Score Prediction., , , , и . SIGIR, стр. 485-494. ACM, (2019)Towards Efficient and Effective Query Variant Generation., , , , и . DESIRES, том 2167 из CEUR Workshop Proceedings, стр. 62-67. CEUR-WS.org, (2018)Efficiency Implications of Term Weighting for Passage Retrieval., , , и . SIGIR, стр. 1821-1824. ACM, (2020)Managing tail latency in large scale information retrieval systems.. SIGIR Forum, 54 (1): 18:1-18:2 (2020)RMIT at the 2018 TREC CORE Track., , , , , , , и . TREC, том 500-331 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2018)Boosting Search Performance Using Query Variations., , , и . ACM Trans. Inf. Syst., 37 (4): 41:1-41:25 (2019)Compressing Inverted Indexes with Recursive Graph Bisection: A Reproducibility Study., , , , и . ECIR (1), том 11437 из Lecture Notes in Computer Science, стр. 339-352. Springer, (2019)Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format., , , , , , , и . SIGIR, стр. 2149-2152. ACM, (2020)