ref [1] · 2507.14946 · notice #9066 · dispute
Raw extraction · citation context
This would allow for a more comprehensive and realistic evaluation of performance. However, such an extension would require careful consideration of the additional computational resources needed. References [1] Song, J. J., Lee, W., & Afshar, J. (2019). An effective High Recall Retrieval method. Data & Knowledge Engineering, 123, 101603. https://doi.org/https://doi.org/10.1016/j.datak.2017.07.006 [2] Li, C., Wang, Y., Resnick, P., & Mei, Q. (2014). ReQ-ReC: high recall retrieval with query pooling and interactive classification. https://doi.org/10.1145/2600428.2609618 [3] Losee, R. M. (1991). An analytic measure predicting information retrieval system performance. Information Processing & Management, 27(1), 1-13. https://doi.org/https://doi.
Parser render (TeX stripped for reading; raw above is the evidence)
This would allow for a more comprehensive and realistic evaluation of performance. However, such an extension would require careful consideration of the additional computational resources needed. References [1] Song, J. J., Lee, W., & Afshar, J. (2019). An effective High Recall Retrieval method. Data & Knowledge Engineering, 123, 101603. https://doi.org/https://doi.org/10.1016/j.datak.2017.07.006 [2] Li, C., Wang, Y., Resnick, P., & Mei, Q. (2014). ReQ-ReC: high recall retrieval with query pooling and interactive classification. https://doi.org/10.1145/2600428.2609618 [3] Losee, R. M. (1991). An analytic measure predicting information retrieval system performance. Information Processing & Management, 27(1), 1-13. https://doi.org/https://doi