ChenglongChen/kaggle-CrowdFlower
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
This project helps e-commerce companies improve the accuracy of their product search results. It takes a list of products and customer search queries, then outputs a ranking of how relevant each product is to its query. This is designed for data scientists or machine learning engineers working on search relevance within online retail or similar platforms.
1,775 stars. No commits in the last 6 months.
Use this if you need to build a highly accurate model for ranking products by their relevance to customer search queries, particularly in an e-commerce context.
Not ideal if you are looking for a plug-and-play solution without custom model development or if your problem domain is significantly different from product search relevance.
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Sep 25, 2021
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