nhtlongcs/e-commerce-product-search
Relevance Prediction in E-commerce Product Search
This project helps e-commerce platforms accurately match customer search queries to products and categories, even if the queries are in multiple languages, mix languages, or use informal terms. It takes customer search terms and product information (like titles or categories) as input, then outputs a relevance score, helping improve search results. This is ideal for e-commerce managers, product catalog specialists, or anyone responsible for search and discovery on a global online store.
No commits in the last 6 months.
Use this if you manage an e-commerce platform and need to improve how search queries from diverse, multilingual customers are matched to your product catalog, especially across different languages.
Not ideal if your e-commerce platform only operates in a single language and already has highly accurate search relevance.
Stars
13
Forks
2
Language
Python
License
—
Category
Last pushed
Sep 27, 2025
Commits (30d)
0
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