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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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  ![Validation results](https://huggingface.co/fkrasnov2/SBE/resolve/main/bvf_recall1k_query_len_eng.svg)
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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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  ![Validation results](https://huggingface.co/fkrasnov2/SBE/resolve/main/bvf_recall1k_query_len_eng.svg)
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