enze5088/WenTianSearch
A baseline for WenTianSearch
This project helps e-commerce platforms improve their product search relevance. It takes a dataset of product listings and customer queries, then processes them to generate high-quality embeddings. The output is an improved search algorithm that helps customers find exactly what they're looking for, making it useful for e-commerce managers and data scientists focused on search optimization.
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Use this if you are an e-commerce platform participant in the '阿里灵杰' WenTian Search Algorithm Competition and need a baseline for semantic search.
Not ideal if you need a solution for a domain other than e-commerce search or require a more complex model than the SimCSE supervised baseline.
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Python
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Last pushed
Mar 24, 2022
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