zwkkk/wentian-rank2
“阿里灵杰”问天引擎电商搜索算法赛 第二名。电商领域两阶段文本匹配算法。
This project offers a specialized two-stage text matching algorithm designed to improve search accuracy in e-commerce platforms. It takes in product catalogs and search queries, processing them to output highly relevant product rankings. E-commerce managers, product catalog specialists, or anyone responsible for optimizing online store search functionality would benefit from this.
No commits in the last 6 months.
Use this if you need to significantly boost the relevance of search results in a large-scale e-commerce environment.
Not ideal if you are looking for a general-purpose search solution outside of e-commerce or lack the computational resources (multiple GPUs) to train the models.
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Language
Python
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Last pushed
Jul 28, 2022
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