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@@ -15,6 +15,8 @@ The encoder-model was trained for the e-commerce search query similarity task, a
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The dataset for validation, which was manually annotated, comprised 362,000 instances.
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The dataset for validation, which was manually annotated, comprised 362,000 instances.
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[Fedor Krasnov, Fedor Kurushin, and Egor Mogilevich "Custom shared encoder for enhanced recall in e-commerce product search task", Proc. SPIE 13730, Second International Conference on Computing, Machine Learning, and Data Science (CMLDS 2025), 137300B (21 July 2025);](https://doi.org/10.1117/12.3072295)
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